2
UAV & satellite synergies for optical remote sensing applications: A literature review
3
Early Weed Detection Using Image Processing and Machine Learning Techniques in an Australian Chilli Farm
4
Identification of cucumber leaf diseases using deep learning and small sample size for agricultural Internet of Things
5
Autumn Crop Yield Prediction using Data-Driven Approaches:- Support Vector Machines, Random Forest, and Deep Neural Network Methods
6
Human Activity Recognition through Recurrent Neural Networks for Human–Robot Interaction in Agriculture
7
Machine Learning Techniques for Fluid Flows at the Nanoscale
8
Use and Adaptations of Machine Learning in Big Data—Applications in Real Cases in Agriculture
9
IoT Technologies for Livestock Management: A Review of Present Status, Opportunities, and Future Trends
10
A Quadratic Traversal Algorithm of Shortest Weeding Path Planning for Agricultural Mobile Robots in Cornfield
11
Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting
12
Advanced agricultural disease image recognition technologies: A review
13
A review on the methods for big data analysis in agriculture
14
Estimation of Leaf Nitrogen Content in Wheat Based on Fusion of Spectral Features and Deep Features from Near Infrared Hyperspectral Imagery
15
Machine-Learning Classification of a Number of Contaminant Sources in an Urban Water Network
16
Development of an Anomaly Detection System for Cattle Using Infrared Image and Machine Learning
17
Machine Learning Techniques for Soybean Charcoal Rot Disease Prediction
18
Crop Classification Using Multi-Temporal Sentinel-2 Data in the Shiyang River Basin of China
19
Predicting within‐field cotton yields using publicly available datasets and machine learning
20
Using Machine Learning Algorithms to Estimate Soil Organic Carbon Variability with Environmental Variables and Soil Nutrient Indicators in an Alluvial Soil
21
A systematic literature review on the use of machine learning in precision livestock farming
22
A Memory-Efficient Encoding Method for Processing Mixed-Type Data on Machine Learning
23
Safety and ergonomics in human-robot interactive agricultural operations
24
Applying machine learning techniques on feeding behavior data for early estrus detection in dairy heifers
25
Accurate machine learning-based germination detection, prediction and quality assessment of three grain crops
26
Development of Efficient CNN model for Tomato crop disease identification
27
Detection of pepper fusarium disease using machine learning algorithms based on spectral reflectance
28
Application-Specific Evaluation of a Weed-Detection Algorithm for Plant-Specific Spraying
29
Agricultural crop discrimination in a heterogeneous low-mountain range region based on multi-temporal and multi-sensor satellite data
30
Performance analysis of deep learning CNN models for disease detection in plants using image segmentation
31
Assessment of knowledge, attitude, and practice on livestock traceability among cattle farmers and cattle traders in peninsular Malaysia and its impact on disease control
32
Machine Learning to Estimate Surface Soil Moisture from Remote Sensing Data
33
Groundwater quality forecasting using machine learning algorithms for irrigation purposes
34
Artificial Intelligence Approach for Tomato Detection and Mass Estimation in Precision Agriculture
35
A random forest ranking approach to predict yield in maize with uav-based vegetation spectral indices
36
An efficient approach for rice prediction from authenticated Block chain node using machine learning technique
37
Uncertainty quantification for plant disease detection using Bayesian deep learning
38
Estimation of soybean yield from machine learning techniques and multispectral RPAS imagery
39
Developing a machine learning based cotton yield estimation framework using multi-temporal UAS data
40
Machine Learning Approaches for Activity Recognition and/or Activity Prediction in Locomotion Assistive Devices—A Systematic Review
41
Groundwater Withdrawal Prediction Using Integrated Multitemporal Remote Sensing Data Sets and Machine Learning
42
Detection of banana plants and their major diseases through aerial images and machine learning methods: A case study in DR Congo and Republic of Benin
43
Deep convolutional neural network based plant species recognition through features of leaf
44
The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems.
45
Crop yield prediction using machine learning: A systematic literature review
46
A deep learning CNN architecture applied in smart near-infrared analysis of water pollution for agricultural irrigation resources
47
Comparative Analysis of Artificial Intelligence Models for Accurate Estimation of Groundwater Nitrate Concentration
48
Plant species recognition methods using leaf image: Overview
49
On the performance of fusion based planet-scope and Sentinel-2 data for crop classification using inception inspired deep convolutional neural network
50
Performance evaluation of numerical and machine learning methods in estimating reference evapotranspiration in a Brazilian agricultural frontier
51
Grain yield prediction of rice using multi-temporal UAV-based RGB and multispectral images and model transfer – a case study of small farmlands in the South of China
52
DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping
53
Detection of Italian Ryegrass in Wheat and Prediction of Competitive Interactions Using Remote-Sensing and Machine-Learning Techniques
54
Predicting within-field variability in grain yield and protein content of winter wheat using UAV-based multispectral imagery and machine learning approaches
55
A Hybrid CFS Filter and RF-RFE Wrapper-Based Feature Extraction for Enhanced Agricultural Crop Yield Prediction Modeling
56
Predicting county-scale maize yields with publicly available data
57
Plant Diseases recognition on images using Convolutional Neural Networks: A Systematic Review
58
VddNet: Vine Disease Detection Network Based on Multispectral Images and Depth Map
59
Deep-Net: A Lightweight CNN-Based Speech Emotion Recognition System Using Deep Frequency Features
60
Modified Red Blue Vegetation Index for Chlorophyll Estimation and Yield Prediction of Maize from Visible Images Captured by UAV
61
Cloud Approach to Automated Crop Classification Using Sentinel-1 Imagery
62
Comparison of machine learning models for gully erosion susceptibility mapping
63
Accessing the temporal and spectral features in crop type mapping using multi-temporal Sentinel-2 imagery: A case study of Yi'an County, Heilongjiang province, China
64
Prediction of End-Of-Season Tuber Yield and Tuber Set in Potatoes Using In-Season UAV-Based Hyperspectral Imagery and Machine Learning
65
Detecting powdery mildew disease in squash at different stages using UAV-based hyperspectral imaging and artificial intelligence
66
Estimation Method of Soluble Solid Content in Peach Based on Deep Features of Hyperspectral Imagery
67
Automatic vegetable disease identification approach using individual lesion features
68
A Deep Learning Approach for Weed Detection in Lettuce Crops Using Multispectral Images
69
County level maize yield estimation using artificial neural network
70
Laboratory and UAV-Based Identification and Classification of Tomato Yellow Leaf Curl, Bacterial Spot, and Target Spot Diseases in Tomato Utilizing Hyperspectral Imaging and Machine Learning
71
A Review on Finite Element Modeling and Simulation of the Anterior Cruciate Ligament Reconstruction
72
Predicting bovine tuberculosis status of dairy cows from mid-infrared spectral data of milk using deep learning.
73
Advances in Soil Moisture Retrieval from Multispectral Remote Sensing Using Unmanned Aircraft Systems and Machine Learning Techniques
74
Machine learning approaches for rice crop yield predictions using time-series satellite data in Taiwan
75
Estimation and easy calculation of the Palmer Drought Severity Index from the meteorological data by using the advanced machine learning algorithms
76
Application of Artificial Neural Networks for Natural Gas Consumption Forecasting
77
Groundwater Salinity Susceptibility Mapping Using Classifier Ensemble and Bayesian Machine Learning Models
78
Soil erosion potential hotspot zone identification using machine learning and statistical approaches in eastern India
79
An open source workflow for weed mapping in native grassland using unmanned aerial vehicle: using Rumex obtusifolius as a case study
80
Leveraging High-Resolution Satellite Imagery and Gradient Boosting for Invasive Weed Mapping
81
GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran
82
Advanced Machine Learning in Point Spectroscopy, RGB- and Hyperspectral-Imaging for Automatic Discriminations of Crops and Weeds: A Review
83
Improving weeds identification with a repository of agricultural pre-trained deep neural networks
84
A computational model for soil fertility prediction in ubiquitous agriculture
85
Machine Learning for Seed Quality Classification: An Advanced Approach Using Merger Data from FT-NIR Spectroscopy and X-ray Imaging
86
Discovery of different metabotypes in overconditioned dairy cows by means of machine learning.
87
Application of extreme learning machine in plant disease prediction for highly imbalanced dataset
88
Use of UAS Multispectral Imagery at Different Physiological Stages for Yield Prediction and Input Resource Optimization in Corn
89
Crop yield prediction in cotton for regional level using random forest approach
90
Crop Yield Prediction through Proximal Sensing and Machine Learning Algorithms
91
Artificial Neural Network to Estimate the Paddy Yield Prediction Using Climatic Data
92
Susceptibility Mapping of Soil Water Erosion Using Machine Learning Models
93
Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran
94
Comparison of Object Detection and Patch-Based Classification Deep Learning Models on Mid- to Late-Season Weed Detection in UAV Imagery
95
A review on dairy cattle farming: Is precision livestock farming the compromise for an environmental, economic and social sustainable production?
96
Fraud Detection in Credit Card Data using Unsupervised Machine Learning Based Scheme
97
Graph weeds net: A graph-based deep learning method for weed recognition
98
On-farm welfare monitoring system for goats based on Internet of Things and machine learning
99
Machine-Learning Techniques Can Enhance Dairy Cow Estrus Detection Using Location and Acceleration Data
100
Instance segmentation for the fine detection of crop and weed plants by precision agricultural robots
101
Learning optimal decision trees using constraint programming
102
Paddy Crop and Weed Discrimination: A Multiple Classifier System Approach
103
Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning
104
An assessment of temporal RADARSAT-2 SAR data for crop classification using KPCA based support vector machine
105
An integrated approach for predicting and broadcasting tea leaf disease at early stage using IoT with machine learning – A review
106
Crop Classification with Multi-Temporal Satellite Image Data
107
Goosegrass Detection in Strawberry and Tomato Using a Convolutional Neural Network
108
Handling Missing Data in Decision Trees: A Probabilistic Approach
109
Wheat Lodging Detection from UAS Imagery Using Machine Learning Algorithms
110
A Deep-Learning-Based Real-Time Detector for Grape Leaf Diseases Using Improved Convolutional Neural Networks
111
Spatial prediction of soil organic carbon using machine learning techniques in western Iran
112
Apple Leaf Diseases Recognition Based on An Improved Convolutional Neural Network
113
Hybrid particle swarm optimization with extreme learning machine for daily reference evapotranspiration prediction from limited climatic data
114
Machine learning digital soil mapping to inform gully erosion mitigation measures in the Eastern Cape, South Africa
115
Recognition and classification of paddy leaf diseases using Optimized Deep Neural network with Jaya algorithm
116
An automatic method for weed mapping in oat fields based on UAV imagery
117
An Artificial Intelligence Approach to Prediction of Corn Yields under Extreme Weather Conditions Using Satellite and Meteorological Data
118
Assessing the Accuracy of Multiple Classification Algorithms for Crop Classification Using Landsat-8 and Sentinel-2 Data
119
Use of Machine Learning in Evaluation of Drought Perception in Irrigated Agriculture: The Case of an Irrigated Perimeter in Brazil
120
Winter Wheat Yield Prediction at County Level and Uncertainty Analysis in Main Wheat-Producing Regions of China with Deep Learning Approaches
121
Estimation of Potato Yield Using Satellite Data at a Municipal Level: A Machine Learning Approach
122
Brown rice planthopper (Nilaparvata lugens Stal) detection based on deep learning
123
Carrot Yield Mapping: A Precision Agriculture Approach Based on Machine Learning
124
Mapping Rice Paddy Based on Machine Learning with Sentinel-2 Multi-Temporal Data: Model Comparison and Transferability
125
A Review on Ergonomics in Agriculture. Part II: Mechanized Operations
126
Machine learning in medicinal plants recognition: a review
127
Vineyard yield estimation by combining remote sensing, computer vision and artificial neural network techniques
128
Detection of Colchicum autumnale in drone images, using a machine-learning approach
129
Machine learning in knee osteoarthritis: A review
130
A survey on machine learning for data fusion
131
Internet of Things and Machine-Learning-Based Leaching Requirements Estimation for Saline Soils
132
An automatic visible-range video weed detection, segmentation and classification prototype in potato field
133
New approach to estimate daily reference evapotranspiration based on hourly temperature and relative humidity using machine learning and deep learning
134
SoyNet: Soybean leaf diseases classification
135
Evaluation of machine learning methods to predict soil moisture constants with different combinations of soil input data for calcareous soils in a semi arid area
136
Development of pedotransfer functions by machine learning for prediction of soil electrical conductivity and organic carbon content
137
Comparison of the use of a physical-based model with data assimilation and machine learning methods for simulating soil water dynamics
138
Artificial Intelligence Applied to a Robotic Dairy Farm to Model Milk Productivity and Quality based on Cow Data and Daily Environmental Parameters
139
New empirical equation to estimate the soil moisture content based on thermal properties using machine learning techniques
140
Weed Classification for Site-Specific Weed Management Using an Automated Stereo Computer-Vision Machine-Learning System in Rice Fields
141
Evaluating machine learning algorithms for predicting maize yield under conservation agriculture in Eastern and Southern Africa
142
Monitoring inland water quality using remote sensing: potential and limitations of spectral indices, bio-optical simulations, machine learning, and cloud computing
143
Livestock classification and counting in quadcopter aerial images using Mask R-CNN
144
Integrating Landsat-8 and Sentinel-2 Time Series Data for Yield Prediction of Sugarcane Crops at the Block Level
145
Automatic Classification of Cotton Root Rot Disease Based on UAV Remote Sensing
146
Land Suitability Assessment and Agricultural Production Sustainability Using Machine Learning Models
147
Machine Learning for Gully Feature Extraction Based on a Pan-Sharpened Multispectral Image: Multiclass vs. Binary Approach
148
Satellite-based soybean yield forecast: Integrating machine learning and weather data for improving crop yield prediction in southern Brazil
149
Advanced machine learning model for better prediction accuracy of soil temperature at different depths
150
The Analysis of Plants Image Recognition Based on Deep Learning and Artificial Neural Network
151
Combining Multi-Source Data and Machine Learning Approaches to Predict Winter Wheat Yield in the Conterminous United States
152
Plant species identification using color learning resources, shape, texture, through machine learning and artificial neural networks
153
Groundwater Potential Mapping Using Remote Sensing and GIS-Based Machine Learning Techniques
154
Integration of RNN with GARCH refined by whale optimization algorithm for yield forecasting: a hybrid machine learning approach
155
Comparative Assessment of Reference Evapotranspiration Estimation Using Conventional Method and Machine Learning Algorithms in Four Climatic Regions
156
A framework to type crop management strategies within a production situation to improve the comprehension of weed communities
157
Predicting soil aggregate stability using readily available soil properties and machine learning techniques
158
Performances of the LBP Based Algorithm over CNN Models for Detecting Crops and Weeds with Similar Morphologies
159
UAV-multispectral and vegetation indices in soybean grain yield prediction based on in situ observation
160
Above-ground biomass estimation and yield prediction in potato by using UAV-based RGB and hyperspectral imaging
161
Towards weeds identification assistance through transfer learning
162
Quality classification of Jatropha curcas seeds using radiographic images and machine learning
163
A Data-Driven Prediction Method for an Early Warning of Coccidiosis in Intensive Livestock Systems: A Preliminary Study
164
Comparison of machine learning methods for citrus greening detection on UAV multispectral images
165
Machine learning based fog computing assisted data-driven approach for early lameness detection in dairy cattle
166
PigLeg: prediction of swine phenotype using machine learning
167
Forecasting severe grape downy mildew attacks using machine learning
168
A Review on Ergonomics in Agriculture. Part I: Manual Operations
169
A Machine Learning Method to Estimate Reference Evapotranspiration Using Soil Moisture Sensors
170
A predictive machine learning application in agriculture: Cassava disease detection and classification with imbalanced dataset using convolutional neural networks
171
Automated prediction of mastitis infection patterns in dairy herds using machine learning
172
Review: Synergy between mechanistic modelling and data-driven models for modern animal production systems in the era of big data.
173
Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields
174
Synergistic Use of Multi-Temporal RADARSAT-2 and VENµS Data for Crop Classification Based on 1D Convolutional Neural Network
175
Modelling bioaccumulation of heavy metals in soil-crop ecosystems and identifying its controlling factors using machine learning.
176
The new design of cows' behavior classifier based on acceleration data and proposed feature set.
177
Crop and weed discrimination using Laws’ texture masks
178
Modeling yield response to crop management using convolutional neural networks
179
Machine vision based papaya disease recognition
180
Development of a recurrent neural networks-based calving prediction model using activity and behavioral data
181
Detection of coffee berry necrosis by digital image processing of landsat 8 oli satellite imagery
182
Computation of Evapotranspiration with Artificial Intelligence for Precision Water Resource Management
183
Applicability of machine learning in spam and phishing email filtering: review and approaches
184
Estimation of daily potato crop evapotranspiration using three different machine learning algorithms and four scenarios of available meteorological data
185
Deep neural network based Rider-Cuckoo Search Algorithm for plant disease detection
186
Remote sensing and machine learning for crop water stress determination in various crops: a critical review
187
Wheat Growth Monitoring and Yield Estimation based on Multi-Rotor Unmanned Aerial Vehicle
188
A machine learning based decision aid for lameness in dairy herds using farm-based records
189
Behaviour classification of extensively grazed sheep using machine learning
190
An optimized model based on convolutional neural networks and orthogonal learning particle swarm optimization algorithm for plant diseases diagnosis
191
Predicting Forage Quality of Warm-Season Legumes by Near Infrared Spectroscopy Coupled with Machine Learning Techniques
192
Soybean yield prediction from UAV using multimodal data fusion and deep learning
193
Pre-harvest classification of crop types using a Sentinel-2 time-series and machine learning
194
Estimating wheat yields in Australia using climate records, satellite image time series and machine learning methods
195
Prediction of the diet energy digestion using kernel extreme learning machine: A case study with Holstein dry cows
196
Development of a methodological framework for a robust prediction of the main behaviours of dairy cows using a combination of machine learning algorithms on accelerometer data
197
Efficient agricultural yield prediction using metaheuristic optimized artificial neural network using Hadoop framework
198
Introduction to Machine Learning, Neural Networks, and Deep Learning
199
Machine Learning and Artificial Intelligence: Definitions, Applications, and Future Directions
200
A Recognition Method for Rice Plant Diseases and Pests Video Detection Based on Deep Convolutional Neural Network
201
A Method for Detecting Coffee Leaf Rust through Wireless Sensor Networks, Remote Sensing, and Deep Learning: Case Study of the Caturra Variety in Colombia
202
Forecasting Corn Yield With Machine Learning Ensembles
203
Feature Dimension Reduction Using Stacked Sparse Auto-Encoders for Crop Classification with Multi-Temporal, Quad-Pol SAR Data
204
Prediction of Winter Wheat Yield Based on Multi-Source Data and Machine Learning in China
205
Integrating Agriculture and Ecosystems to Find Suitable Adaptations to Climate Change
206
A Convolutional Neural Networks Based Method for Anthracnose Infected Walnut Tree Leaves Identification
207
Application of convolutional neural networks for evaluation of disease severity in tomato plant
208
Ranking of environmental heat stressors for dairy cows using machine learning algorithms
209
3D mapping of soil organic carbon content and soil moisture with multiple geophysical sensors and machine learning
210
Automated detection of lameness in sheep using machine learning approaches: novel insights into behavioural differences among lame and non-lame sheep
211
Attention embedded residual CNN for disease detection in tomato leaves
212
Hybrid extreme learning machine with meta-heuristic algorithms for monthly pan evaporation prediction
213
Machine vision-based automatic disease symptom detection of onion downy mildew
214
Improvement in Land Cover and Crop Classification based on Temporal Features Learning from Sentinel-2 Data Using Recurrent-Convolutional Neural Network (R-CNN)
215
Learning discriminative spatiotemporal features for precise crop classification from multi-temporal satellite images
216
Millimeter-Level Plant Disease Detection From Aerial Photographs via Deep Learning and Crowdsourced Data
217
Vine disease detection in UAV multispectral images using optimized image registration and deep learning segmentation approach
218
Monitoring Within-Field Variability of Corn Yield using Sentinel-2 and Machine Learning Techniques
219
Management of natural resources and material pricing: Global evidence
220
Deep learning-based image recognition for autonomous driving
221
Automatic detection and classification of leaf spot disease in sugar beet using deep learning algorithms
222
Real-time classification of weeds in organic carrot production using deep learning algorithms
223
Detection of target spot and bacterial spot diseases in tomato using UAV-based and benchtop-based hyperspectral imaging techniques
224
Effects of heat stress on animal physiology, metabolism, and meat quality: A review.
225
Crop classification using spectral indices derived from Sentinel-2A imagery
226
A CNN-RNN Framework for Crop Yield Prediction
227
Evaluation of Three Deep Learning Models for Early Crop Classification Using Sentinel-1A Imagery Time Series - A Case Study in Zhanjiang, China
228
Prediction of evaporation in arid and semi-arid regions: a comparative study using different machine learning models
229
Prediction of marbling score and carcass traits in Korean Hanwoo beef cattle using machine learning methods and synthetic minority oversampling technique.
230
Crop yield prediction: two-tiered machine learning model approach
231
A Systematic Review of Detecting Sleep Apnea Using Deep Learning
232
Discriminating soybean seed varieties using hyperspectral imaging and machine learning
233
Weed Detection in Perennial Ryegrass With Deep Learning Convolutional Neural Network
234
Evaluation of Feature Selection and Feature Extraction Techniques on Multi-Temporal Landsat-8 Images for Crop Classification
235
Convolutional neural network for simultaneous prediction of several soil properties using visible/near-infrared, mid-infrared, and their combined spectra
236
Evaluation of Aboveground Nitrogen Content of Winter Wheat Using Digital Imagery of Unmanned Aerial Vehicles
237
A novel approach for efficient crop yield prediction
238
County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model
239
Deep learning-based visual recognition of rumex for robotic precision farming
240
Classification of Rice Varieties Using Artificial Intelligence Methods
241
Synchronous Response Analysis of Features for Remote Sensing Crop Classification Based on Optical and SAR Time-Series Data
242
Modelling of infiltration using artificial intelligence techniques in semi-arid Iran
243
Agricultural Sustainability: A Review of Concepts and Methods
244
The Use of Internet of Things for the Sustainability of the Agricultural Sector: The Case of Climate Smart Agriculture
245
Estimation of realistic renewable and non-renewable energy use targets for livestock production systems utilising an artificial neural network method: A step towards livestock sustainability
246
Spectral filter design based on in-field hyperspectral imaging and machine learning for mango ripeness estimation
247
Near-Infrared Hyperspectral Imaging Combined with Deep Learning to Identify Cotton Seed Varieties
248
Crop yield prediction using aggregated rainfall-based modular artificial neural networks and support vector regression
249
Robust joint stem detection and crop‐weed classification using image sequences for plant‐specific treatment in precision farming
250
Crop yield prediction with deep convolutional neural networks
251
Maize yield estimation in West Africa from crop process-induced combinations of multi-domain remote sensing indices
252
Automated pig counting using deep learning
253
Potato Yield Prediction Using Machine Learning Techniques and Sentinel 2 Data
254
Solving Current Limitations of Deep Learning Based Approaches for Plant Disease Detection
255
DCN-Based Spatial Features for Improving Parcel-Based Crop Classification Using High-Resolution Optical Images and Multi-Temporal SAR Data
256
Strawberry Yield Prediction Based on a Deep Neural Network Using High-Resolution Aerial Orthoimages
257
Long-short-term-memory-based crop classification using high-resolution optical images and multi-temporal SAR data
258
How can Big Data and machine learning benefit environment and water management: a survey of methods, applications, and future directions
259
Prediction of organic potato yield using tillage systems and soil properties by artificial neural network (ANN) and multiple linear regressions (MLR)
260
Livestock vocalisation classification in farm soundscapes
261
On-line vis-NIR spectroscopy prediction of soil organic carbon using machine learning
262
Development and field evaluation of a machine vision based in-season weed detection system for wild blueberry
263
A Deep Learning-Based Approach for Automated Yellow Rust Disease Detection from High-Resolution Hyperspectral UAV Images
264
A low shot learning method for tea leaf's disease identification
265
Improved SVR machine learning models for agricultural drought prediction at downstream of Langat River Basin, Malaysia
266
Mapping dynamics of soil organic matter in croplands with MODIS data and machine learning algorithms.
267
UAV-Based Remote Sensing Technique to Detect Citrus Canker Disease Utilizing Hyperspectral Imaging and Machine Learning
268
Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild
269
Identification of plant leaf diseases using a nine-layer deep convolutional neural network
270
Deep neural networks with transfer learning in millet crop images
271
Testing the ability of unmanned aerial systems and machine learning to map weeds at subfield scales: a test with the weed Alopecurus myosuroides (Huds)
272
A Comparison Between Major Artificial Intelligence Models for Crop Yield Prediction: Case Study of the Midwestern United States, 2006-2015
273
Parcel-Based Crop Classification Using Multi-Temporal TerraSAR-X Dual Polarimetric Data
274
Review of quantitative methods for supply chain resilience analysis
275
Design and Implementation of Cloud Analytics-Assisted Smart Power Meters Considering Advanced Artificial Intelligence as Edge Analytics in Demand-Side Management for Smart Homes
276
Scalable pixel-based crop classification combining Sentinel-2 and Landsat-8 data time series: Case study of the Duero river basin
277
Using 3D Imaging and Machine Learning to Predict Liveweight and Carcass Characteristics of Live Finishing Beef Cattle
278
Using of Multi-Source and Multi-Temporal Remote Sensing Data Improves Crop-Type Mapping in the Subtropical Agriculture Region
279
Estimating Crop Primary Productivity with Sentinel-2 and Landsat 8 using Machine Learning Methods Trained with Radiative Transfer Simulations
280
A Novel Spatio-Temporal FCN-LSTM Network for Recognizing Various Crop Types Using Multi-Temporal Radar Images
281
Fully convolutional network for rice seedling and weed image segmentation at the seedling stage in paddy fields
282
Performance Evaluation of Best Feature Subsets for Crop Yield Prediction Using Machine Learning Algorithms
283
Comparison of Machine Learning Algorithms for Predictive Modeling of Beef Attributes Using Rapid Evaporative Ionization Mass Spectrometry (REIMS) Data
284
Combining UAV-based hyperspectral imagery and machine learning algorithms for soil moisture content monitoring
285
Plant disease identification from individual lesions and spots using deep learning
286
Deep convolutional neural networks for rice grain yield estimation at the ripening stage using UAV-based remotely sensed images
287
An artificial neural network model for estimating Mentha crop biomass yield using Landsat 8 OLI
288
Geo-Object-Based Soil Organic Matter Mapping Using Machine Learning Algorithms With Multi-Source Geo-Spatial Data
289
Estimation of soil temperature from meteorological data using different machine learning models
290
Effects of soil properties, water quality and management practices on pistachio yield in Rafsanjan region, southeast of Iran
291
A review on weed detection using ground-based machine vision and image processing techniques
292
Identification of the Rumination in Cattle Using Support Vector Machines with Motion-Sensitive Bolus Sensors
293
Deep learning for image-based weed detection in turfgrass
294
Development of an artificial cloud lighting condition system using machine vision for strawberry powdery mildew disease detection
295
A novel computer vision based neutrosophic approach for leaf disease identification and classification
296
Artificial intelligence-based fast and efficient hybrid approach for spatial modelling of soil electrical conductivity
297
Effective plant discrimination based on the combination of local binary pattern operators and multiclass support vector machine methods
298
Digital mapping of soil properties using multiple machine learning in a semi-arid region, central Iran
299
Using deep learning to predict soil properties from regional spectral data
300
Polarimetric Target Decompositions and Light Gradient Boosting Machine for Crop Classification: A Comparative Evaluation
301
Agronomic Basis and Strategies for Precision Water Management: A Review
302
Impact of Texture Information on Crop Classification with Machine Learning and UAV Images
303
Detection of Helminthosporium Leaf Blotch Disease Based on UAV Imagery
304
Crop Yield Prediction Using Deep Neural Networks
305
Multiple regression and machine learning based methods for carcass traits and saleable meat cuts prediction using non-invasive in vivo measurements in commercial lambs
306
Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence
307
Detection of grapevine yellows symptoms in Vitis vinifera L. with artificial intelligence
308
Deep learning based multi-temporal crop classification
309
An approach to forecast grain crop yield using multi-layered, multi-farm data sets and machine learning
310
Prediction of sheep carcass traits from early-life records using machine learning
311
Multi-Temporal SAR Data Large-Scale Crop Mapping Based on U-Net Model
312
Spatio-temporal downscaling of gridded crop model yield estimates based on machine learning
313
Autonomous Detection of Plant Disease Symptoms Directly from Aerial Imagery
314
A remote sensing technique for detecting laurel wilt disease in avocado in presence of other biotic and abiotic stresses
315
Automated leaf disease detection in different crop species through image features analysis and One Class Classifiers
316
Crop Classification Based on Temporal Information Using Sentinel-1 SAR Time-Series Data
317
Detection of Carolina Geranium (Geranium carolinianum) Growing in Competition with Strawberry Using Convolutional Neural Networks
318
Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches
319
Body condition estimation on cows from depth images using Convolutional Neural Networks
320
An IoT based smart irrigation management system using Machine learning and open source technologies
321
Modelling reference evapotranspiration using a new wavelet conjunction heuristic method: Wavelet extreme learning machine vs wavelet neural networks
322
Deep leaning approach with colorimetric spaces and vegetation indices for vine diseases detection in UAV images
323
Evaluation of SVM, ELM and four tree-based ensemble models for predicting daily reference evapotranspiration using limited meteorological data in different climates of China
324
Rapid identification of soil organic matter level via visible and near-infrared spectroscopy: Effects of two-dimensional correlation coefficient and extreme learning machine.
325
Feeding behavior recognition for group-housed pigs with the Faster R-CNN
326
Evaluating the performance of spectral features and multivariate analysis tools to detect laurel wilt disease and nutritional deficiency in avocado
327
Greenhouse Crop Identification from Multi-Temporal Multi-Sensor Satellite Imagery Using Object-Based Approach: A Case Study from Almería (Spain)
328
Dairy goat detection based on Faster R-CNN from surveillance video
329
AgroAVNET for crops and weeds classification: A step forward in automatic farming
330
Artificial intelligence approach for the prediction of Robusta coffee yield using soil fertility properties
331
Estimation of models for cumulative infiltration of soil using machine learning methods
332
Deep Learning with Unsupervised Data Labeling for Weed Detection in Line Crops in UAV Images
333
DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning
334
Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review
335
Integration of high resolution remotely sensed data and machine learning techniques for spatial prediction of soil properties and corn yield
336
Accurate Weed Mapping and Prescription Map Generation Based on Fully Convolutional Networks Using UAV Imagery
337
Using video processing to classify potato plant and three types of weed using hybrid of artificial neural network and partincle swarm algorithm
338
Dynamic Neural Network Modelling of Soil Moisture Content for Predictive Irrigation Scheduling
339
Feature Selection and Comparison of Machine Learning Algorithms in Classification of Grazing and Rumination Behaviour in Sheep
340
Prediction of cotton lint yield from phenology of crop indices using artificial neural networks
341
Evaluation of artificial intelligence models for actual crop evapotranspiration modeling in mulched and non-mulched maize croplands
342
Selection for high quality pepper seeds by machine vision and classifiers
343
High-Performance Deep Neural Network-Based Tomato Plant Diseases and Pests Diagnosis System With Refinement Filter Bank
344
Spectral Identification of Disease in Weeds Using Multilayer Perceptron with Automatic Relevance Determination
345
Assessment of the optimal spectral bands for designing a sensor for vineyard disease detection: the case of ‘Flavescence dorée’
346
A Very Brief Introduction to Machine Learning With Applications to Communication Systems
347
Yield Forecasting of Spring Maize Using Remote Sensing and Crop Modeling in Faisalabad-Punjab Pakistan
348
A New Structural Health Monitoring Strategy Based on PZT Sensors and Convolutional Neural Network
349
Machine Learning in Agriculture: A Review
350
Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review
351
Hydrodynamics of octagonal culture tanks with Cornell-type dual-drain system
352
Machine learning algorithms to predict core, skin, and hair-coat temperatures of piglets
353
Factors influencing the use of deep learning for plant disease recognition
354
WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming
355
Effect of the Temporal Gradient of Vegetation Indices on Early-Season Wheat Classification Using the Random Forest Classifier
356
Object-based feature selection for crop classification using multi-temporal high-resolution imagery
357
Ensemble learning: A survey
358
Machine-learning algorithms for predicting on-farm direct water and electricity consumption on pasture based dairy farms
359
Crop yield estimation using satellite images: comparison of linear and non-linear models
360
Identification of Maize Leaf Diseases Using Improved Deep Convolutional Neural Networks
361
Visual features based boosted classification of weeds for real-time selective herbicide sprayer systems
362
Developing a Long Short-Term Memory (LSTM) based model for predicting water table depth in agricultural areas
363
Recognising weeds in a maize crop using a random forest machine-learning algorithm and near-infrared snapshot mosaic hyperspectral imagery
364
Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition
365
Machine Learning Regression Techniques for the Silage Maize Yield Prediction Using Time-Series Images of Landsat 8 OLI
366
Unsupervised Classification Algorithm for Early Weed Detection in Row-Crops by Combining Spatial and Spectral Information
367
Application of Artificial Neural Network modeling for optimization and prediction of essential oil yield in turmeric (Curcuma longa L.)
368
Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery
369
Weed Growth Stage Estimator Using Deep Convolutional Neural Networks
370
Machine learning approaches for early prediction of adult wool growth and quality in Australian Merino sheep
371
Plant discrimination by Support Vector Machine classifier based on spectral reflectance
372
Role of Image Processing and Machine Learning Techniques in Disease Recognition, Diagnosis and Yield Prediction of Crops: A Review
373
Relationship between food waste, diet quality, and environmental sustainability
374
Automatic early warning of tail biting in pigs: 3D cameras can detect lowered tail posture before an outbreak
375
Automated plant species identification—Trends and future directions
376
Vineyard water status estimation using multispectral imagery from an UAV platform and machine learning algorithms for irrigation scheduling management
377
Automatic recognition of lactating sow postures from depth images by deep learning detector
378
Soil microbial dynamics prediction using machine learning regression methods
379
Development and Evaluation of a Fuzzy Inference System and a Neuro-Fuzzy Inference System for Grading Apple Quality
380
Machine learning based analysis of night-time images for yield prediction in apple orchard
381
Estimation of soil salt content (SSC) in the Ebinur Lake Wetland National Nature Reserve (ELWNNR), Northwest China, based on a Bootstrap-BP neural network model and optimal spectral indices.
382
Detection of Bacterial Infection in Melon Plants by Classification Methods Based on Imaging Data
383
Bacterial Foraging Optimization Based Radial Basis Function Neural Network (BRBFNN) for Identification and Classification of Plant Leaf Diseases: An Automatic Approach Towards Plant Pathology
384
Detection of multi-tomato leaf diseases (late blight, target and bacterial spots) in different stages by using a spectral-based sensor
385
An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery
386
Semi-automatic leaf disease detection and classification system for soybean culture
387
Vineyard water status assessment using on-the-go thermal imaging and machine learning
388
Evaluation of support vector machine and artificial neural networks in weed detection using shape features
389
Evaluation of sampling frequency, window size and sensor position for classification of sheep behaviour
390
Deep learning models for plant disease detection and diagnosis
391
RGB and multispectral UAV image fusion for Gramineae weed detection in rice fields
392
Modelling Water Stress in a Shiraz Vineyard Using Hyperspectral Imaging and Machine Learning
393
Neural Network and Fuzzy Logic Based Smart DSS Model for Irrigation Notification and Control in Precision Agriculture
394
Survey on SVM and their application in image classification
395
3D Convolutional Neural Networks for Crop Classification with Multi-Temporal Remote Sensing Images
396
A rule-based approach for crop identification using multi-temporal and multi-sensor phenological metrics
397
Automatic Recognition of Flock Behavior of Chickens with Convolutional Neural Network and Kinect Sensor
398
Modeling the effects of management and elevation on West Texas dryland cotton production
399
Cattle behaviour classification from collar, halter, and ear tag sensors
400
ICT Innovations and Smart Farming
401
Estimation of Sunflower Seed Yield Using Partial Least Squares Regression and Artificial Neural Network Models
402
Applying machine learning on sensor data for irrigation recommendations: revealing the agronomist’s tacit knowledge
403
Rethinking environment control strategy of confined animal housing systems through precision livestock farming
404
Plant species classification using flower images—A comparative study of local feature representations
405
Mean Absolute Percentage Error for regression models
406
Big Data: Fueling the Next Evolution of Agricultural Innovation
407
Extreme Learning Machines: A new approach for prediction of reference evapotranspiration
408
Plant identification: man vs. machine
409
Extreme vulnerability of smallholder farmers to agricultural risks and climate change in Madagascar
410
Support vector machine
411
A few useful things to know about machine learning
412
Intelligent multi-sensor system for the detection and treatment of fungal diseases in arable crops
413
Is precision livestock farming an engineer's daydream or nightmare, an animal's friend or foe, and a farmer's panacea or pitfall?
414
Autonomous robotic weed control systems: A review
415
Economic Feasibility Study of Variable Irrigation of Corn Production in Southeast Coastal Plain
416
A deep learning approach for anthracnose infected trees classification in walnut orchards
417
Big Data and Machine Learning With Hyperspectral Information in Agriculture
418
Artificial Intelligence Techniques for Agriculture Revolution: A Survey
419
Augmented Reality Dynamic Image Recognition Technology Based on Deep Learning Algorithm
420
Multilevel Deep Learning Network for County-Level Corn Yield Estimation in the U.S. Corn Belt
421
Northern Maize Leaf Blight Detection Under Complex Field Environment Based on Deep Learning
422
Deep Learning-Based Object Detection Improvement for Tomato Disease
423
Review: Automated techniques for monitoring the behaviour and welfare of broilers and laying hens: towards the goal of precision livestock farming.
424
Soils for Horse Pasture Management
425
Empirical Models to Predict Disinfection By-Products (DBPs) in Drinking Water: An Updated Review
426
Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
427
Precision livestock farming for the global livestock sector
428
Antihyperglycemic Activity of Bioactive Compounds from Soybeans
429
Operationalizing Zero Net Land Degradation: The next stage in international efforts to combat desertification?
431
Determining the lean content of pork carcasses
432
Theory of point estimation
433
Jim Isleib Signs and Symptoms of Plant Disease: Is It Fungal
434
Food and Agriculture Organization Corporate Statistical Database (FAOSTAT) Crops/Regions/World List/Production Quantity (Pick Lists), Rice (Paddy)
