Young Chang

Crop yield prediction using machine learning: A systematic literature review

Machine Learning: Algorithms, Real-World Applications and Research Directions

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Sustainable Smart Cities: Convergence of Artificial Intelligence and Blockchain

State-of-the-Art Internet of Things in Protected Agriculture

Artificial Neural Networks in Agriculture

Review of the State of the Art of Deep Learning for Plant Diseases: A Broad Analysis and Discussion

Tomato Leaf Disease Diagnosis Based on Improved Convolution Neural Network by Attention Module

Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture

Crop Yield Prediction Using Deep Reinforcement Learning Model for Sustainable Agrarian Applications

A systematic literature review on machine learning applications for sustainable agriculture supply chain performance

AlexNet Convolutional Neural Network for Disease Detection and Classification of Tomato Leaf

Computer vision technology in agricultural automation —A review

Internet-of-Things (IoT)-Based Smart Agriculture: Toward Making the Fields Talk

A Hybrid CFS Filter and RF-RFE Wrapper-Based Feature Extraction for Enhanced Agricultural Crop Yield Prediction Modeling

Machine learning-based approach: global trends, research directions, and regulatory standpoints

IoT, Big Data, and Artificial Intelligence in Agriculture and Food Industry

Machine Learning in Agriculture: A Comprehensive Updated Review

A deep learning approach for RGB image-based powdery mildew disease detection on strawberry leaves

Effect of directional augmentation using supervised machine learning technologies: A case study of strawberry powdery mildew detection

Development and field evaluation of a machine vision based in-season weed detection system for wild blueberry

Current and future applications of statistical machine learning algorithms for agricultural machine vision systems