Deep Learning in Agriculture

Research in this cluster emphasizes the application of deep learning models for improving plant health and agricultural practices. It covers topics such as disease detection and classification through image-based deep learning techniques.

Deep Learning
Agriculture
Plant Health
Disease Detection
Image Analysis

31,065 papers

Parent topic: Intelligent Systems and Learning

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Papers Over Time

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Top Papers

Using Deep Learning For Image-Based Plant Disease Detection

2016 · 2,657 citations

Deep Learning In Agriculture: A Survey

2018 · 2,657 citations

Automated Flower Classification Over A Large Number Of Classes

2008 · 1,899 citations

Deep Learning Models For Plant Disease Detection And Diagnosis

2018 · 1,821 citations

Machine Learning In Agriculture: A Review

2018 · 1,472 citations

A Classification System For Seed Dormancy

2004 · 1,319 citations

Deep Neural Networks Based Recognition Of Plant Diseases By Leaf Image Classification

2016 · 1,176 citations

A Robust Deep-Learning-Based Detector For Real-Time Tomato Plant Diseases And Pests Recognition

2017 · 1,004 citations

A Review Of Advanced Techniques For Detecting Plant Diseases

2010 · 970 citations

Using Machine Learning To Identify Diseases And Perform Sorting In Apple Fruit

2024 · 963 citations

Classifying Crop Leaf Diseases Using Different Deep Learning Models With Transfer Learning

2024 · 962 citations

JUICE, Software For Vegetation Classification

2002 · 948 citations

Crop Yield Prediction Using Machine Learning: A Systematic Literature Review

2020 · 926 citations

A Deep Learning System To Screen Novel Coronavirus Disease 2019 Pneumonia

2020 · 863 citations

Plant Disease Detection By Imaging Sensors – Parallels And Specific Demands For Precision Agriculture And Plant Phenotyping

2016 · 848 citations

DeepFruits: A Fruit Detection System Using Deep Neural Networks

2016 · 801 citations

Apple Detection During Different Growth Stages In Orchards Using The Improved YOLO-V3 Model

2019 · 791 citations

A Comparative Study Of Fine-Tuning Deep Learning Models For Plant Disease Identification

2019 · 757 citations

Machine Learning For High-Throughput Stress Phenotyping In Plants

2016 · 749 citations

Identification Of Rice Diseases Using Deep Convolutional Neural Networks

2017 · 731 citations