1
Fruit Detection and Recognition Based on Deep Learning for Automatic Harvesting: An Overview and Review
2
A Review of Machine Learning Approaches to Soil Temperature Estimation
3
Application of Machine Learning in Water Resources Management: A Systematic Literature Review
4
Crop Yield Prediction Using Machine Learning Models: Case of Irish Potato and Maize
5
Machine learning based crop growth management in greenhouse environment using hydroponics farming techniques
6
Soil Quality Identifying and Monitoring Approach for Sugarcane Using Machine Learning Techniques
7
Artificial Intelligence Applications in Soil & Crop Management
8
IoT based Soil Nutrients Analysis and Monitoring System for Smart Agriculture
9
Technological revolutions in smart farming: Current trends, challenges & future directions
10
Technical analysis of crop production prediction using Machine Learning and Deep Learning Algorithms
11
Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming
12
A Cloud Computing web-based application for Smart Farming based on microservices architecture
13
Precision Feeding in Ecological Pig-Raising Systems with Maize Silage
14
A survey on smart farming data, applications and techniques
15
Rainfall Prediction for Enhancing Crop-Yield based on Machine Learning Techniques
16
Improvised Extreme Learning Machine for Crop Yield Prediction
17
A Review: Data Pre-Processing and Data Augmentation Techniques
18
Smart farming using Machine Learning and Deep Learning techniques
19
Analyzing Supervised Learning Algorithms for Crop Prediction and Soil Quality
20
Challenges to Use Machine Learning in Agricultural Big Data: A Systematic Literature Review
21
A Novel Approach for Effective Crop Production using Machine Learning
22
An Enhanced Approach for Crop Yield Prediction System Using Linear Support Vector Machine Model
23
Plant Disease Detection and Crop Recommendation Using CNN and Machine Learning
24
Developing machine learning models with multi-source environmental data to predict wheat yield in China
25
Smart Crop Recommender System-A Machine Learning Approach
26
Soil Based Prediction for Crop Yield using Predictive Analytics
27
A brief study on the prediction of crop disease using machine learning approaches
28
FarmEasy: An Intelligent Platform to Empower Crops Prediction and Crops Marketing
29
A Comparative Analysis of Supervised Machine Learning Algorithm for Agriculture Crop Prediction
30
Farming Made Easy using Machine Learning
31
Smart Farm Based on Six-Domain Model
32
Crop Yield Prediction Using Random Forest Algorithm
33
Agricultural Analysis and Crop Yield Prediction of Habiganj using Multispectral Bands of Satellite Imagery with Machine Learning
34
IoT based Soil Moisture Sensor for Smart Farming
35
Crop yield prediction using machine learning: A systematic literature review
36
Detecting Multicollinearity in Regression Analysis
37
Crop Growth Monitoring with Drone-Borne DInSAR
38
The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design
39
Machine learning and soil sciences: a review aided by machine learning tools
40
Crop Yield Prediction Using Data Analytics and Hybrid Approach
41
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting
42
Scientific development of smart farming technologies and their application in Brazil
43
Modeling Managed Grassland Biomass Estimation by Using Multitemporal Remote Sensing Data—A Machine Learning Approach
44
Automatic fruit count on coffee branches using computer vision
45
Machine Learning With Big Data: Challenges and Approaches
46
Support vector machine-based open crop model (SBOCM): Case of rice production in China
47
On the use of MapReduce for imbalanced big data using Random Forest
49
An Internet of Things-based Efficient Solution for Smart Farming
50
Artificial Intelligence Technology in the Agricultural Sector: A Systematic Literature Review
51
Redefining Agriculture through Artificial Intelligence: Predicting the Unpredictable. p9. GG—May 2022— M&C 19416
52
How Is ML Is Used in Agriculture?
53
A Systematic Literature Review of Machine Learning Techniques Deployed in Agriculture: A Case Study of Banana Crop
54
A Comprehensive Review of Crop Yield Prediction Using Machine Learning Approaches With Special Emphasis on Palm Oil Yield Prediction
55
Classification of influenza H1N1 and COVID-19 patient data using machine learning
56
Domain-Driven Design of Big Data Systems based on a Reference Architecture
57
Identification and determination of the number of immature green citrus fruit in a canopy under different ambient light conditions
59
New and Improved Content Moderation Tooling
60
Identification of growth stages of crops using mobile phone images and machine learning
