Computer Vision and Machine Learning based approaches for Food Security: A Review

Entropy‐controlled deep features selection framework for grape leaf diseases recognition

(2020) Alishba Adeel et al.   EXPERT SYSTEMS

An automated system for cucumber leaf diseased spot detection and classification using improved saliency method and deep features selection

(2020) Muhammad Attique Khan et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Analysis of transfer learning for deep neural network based plant classification models

(2019) Aydin Kaya et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection

(2018) Muhammad Sharif et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Multitemporal field-based plant height estimation using 3D point clouds generated from small unmanned aerial systems high-resolution imagery

(2018) L. Malambo et al.   International Journal of Applied Earth Observation and Geoinformation

Global food security – Issues, challenges and technological solutions

(2018) Ultan Mc Carthy et al.   TRENDS IN FOOD SCIENCE & TECHNOLOGY

An automated detection and classification of citrus plant diseases using image processing techniques: A review

(2018) Zahid Iqbal et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Machine Learning in Agriculture: A Review

(2018) Konstantinos Liakos et al.   SENSORS

Automated leaf disease detection in different crop species through image features analysis and One Class Classifiers

(2018) X.E. Pantazi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features

(2018) Muhammad Attique Khan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning based multi-temporal crop classification

(2018) Liheng Zhong et al.   REMOTE SENSING OF ENVIRONMENT

Deep Count: Fruit Counting Based on Deep Simulated Learning

(2017) et al.   SENSORS

Deep machine learning provides state-of-the-art performance in image-based plant phenotyping

(2017) Michael P. Pound et al.   GigaScience

Plant species classification using deep convolutional neural network

(2016) Mads Dyrmann et al.   BIOSYSTEMS ENGINEERING

Deep learning for plant identification using vein morphological patterns

(2016) Guillermo L. Grinblat et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Towards a Second Green Revolution

(2016) Avinash C. Tyagi   IRRIGATION AND DRAINAGE

DeepFruits: A Fruit Detection System Using Deep Neural Networks

(2016) Inkyu Sa et al.   SENSORS

Modeling spatio-temporal distribution of soil moisture by deep learning-based cellular automata model

(2016) Xiaodong Song et al.   Journal of Arid Land

Use of digital images to estimate soil moisture

(2016) João F. C. dos Santos et al.   Revista Brasileira de Engenharia Agrícola e Ambiental

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

Dual-source discrimination power analysis for multi-instance contactless palmprint recognition

(2015) Lu Leng et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Deep Learning-Based Classification of Hyperspectral Data

(2014) Yushi Chen et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

PalmHash Code vs. PalmPhasor Code

(2012) Lu Leng et al.   NEUROCOMPUTING

Precision Agriculture and Food Security

(2010) R. Gebbers et al.   SCIENCE