Solving Current Limitations of Deep Learning Based Approaches for Plant Disease Detection

Plant disease identification from individual lesions and spots using deep learning

(2019) Jayme Garcia Arnal Barbedo   BIOSYSTEMS ENGINEERING

Plants Disease Identification and Classification Through Leaf Images: A Survey

(2018) Sukhvir Kaur et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Factors influencing the use of deep learning for plant disease recognition

(2018) Jayme G.A. Barbedo   BIOSYSTEMS ENGINEERING

Deep learning in agriculture: A survey

(2018) Andreas Kamilaris et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning models for plant disease detection and diagnosis

(2018) Konstantinos P. Ferentinos   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

(2018) Tom Young et al.   IEEE Computational Intelligence Magazine

Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review

(2018) Diego Inácio Patrício et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Going Deeper With Contextual CNN for Hyperspectral Image Classification

(2017) Hyungtae Lee et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition

(2017) Alvaro Fuentes et al.   SENSORS

Deep Count: Fruit Counting Based on Deep Simulated Learning

(2017) et al.   SENSORS

X-FIDO: An Effective Application for Detecting Olive Quick Decline Syndrome with Deep Learning and Data Fusion

(2017) Albert C. Cruz et al.   Frontiers in Plant Science

Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks

(2017) Bin Liu et al.   Symmetry-Basel

Automatic Image-Based Plant Disease Severity Estimation Using Deep Learning

(2017) Guan Wang et al.   Computational Intelligence and Neuroscience

A review on the main challenges in automatic plant disease identification based on visible range images

(2016) Jayme Garcia Arnal Barbedo   BIOSYSTEMS ENGINEERING

Detection of aphids in wheat fields using a computer vision technique

(2016) Tao Liu et al.   BIOSYSTEMS ENGINEERING

Detecting Bakanae disease in rice seedlings by machine vision

(2016) Chia-Lin Chung et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A Neural Algorithm of Artistic Style

(2016) Leon Gatys et al.   JOURNAL OF VISION

Soybean plant foliar disease detection using image retrieval approaches

(2016) Sourabh Shrivastava et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Using Deep Learning for Image-Based Plant Disease Detection

(2016) Sharada P. Mohanty et al.   Frontiers in Plant Science

Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification

(2016) Srdjan Sladojevic et al.   Computational Intelligence and Neuroscience

Deep learning

(2015) Yann LeCun et al.   NATURE

Crop losses due to diseases and their implications for global food production losses and food security

(2012) Serge Savary et al.   Food Security

Precision Agriculture and Food Security

(2010) R. Gebbers et al.   SCIENCE

Image pattern classification for the identification of disease causing agents in plants

(2009) A. Camargo et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Spectral prediction of Phytophthora infestans infection on tomatoes using artificial neural network (ANN)

(2008) X. Wang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING