Identification and Classification of Maize Drought Stress Using Deep Convolutional Neural Network

Seed-per-pod estimation for plant breeding using deep learning

(2018) L.C. Uzal 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

Detection of maize drought based on texture and morphological features

(2018) Boran Jiang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Leaf-rolling in maize crops: from leaf scoring to canopy-level measurements for phenotyping

(2018) Frederic Baret et al.   JOURNAL OF EXPERIMENTAL BOTANY

An explainable deep machine vision framework for plant stress phenotyping

(2018) Sambuddha Ghosal et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

DeepSort: deep convolutional networks for sorting haploid maize seeds

(2018) Balaji Veeramani et al.   BMC BIOINFORMATICS

A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network

(2018) Juncheng Ma et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives

(2018) Asheesh Kumar Singh et al.   TRENDS IN PLANT SCIENCE

Detection and analysis of wheat spikes using Convolutional Neural Networks

(2018) Md Mehedi Hasan et al.   Plant Methods

Physiological and Dry Matter Characteristics of Spring Maize in Northeast China under Drought Stress

(2018) Peng Jiang et al.   Water

Water productivity under strategic growth stage-based deficit irrigation in maize

(2018) Louise H. Comas et al.   AGRICULTURAL WATER MANAGEMENT

Trends in drought tolerance in Chinese maize cultivars from the 1950s to the 2000s

(2017) Qi Sun et al.   FIELD CROPS RESEARCH

A real-time phenotyping framework using machine learning for plant stress severity rating in soybean

(2017) Hsiang Sing Naik et al.   Plant Methods

Panicle-SEG: a robust image segmentation method for rice panicles in the field based on deep learning and superpixel optimization

(2017) Xiong Xiong et al.   Plant Methods

Deep Plant Phenomics: A Deep Learning Platform for Complex Plant Phenotyping Tasks

(2017) Jordan R. Ubbens et al.   Frontiers in Plant Science

Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks

(2017) Bin Liu et al.   Symmetry-Basel

Influence of Drought Applied at Different Growth Stages on Kernel Yield and Quality in Maize (Zea MaysL.)

(2016) Saba Anwar et al.   COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS

Development and evaluation of thermal infrared imaging system for high spatial and temporal resolution crop water stress monitoring of corn within a greenhouse

(2016) Devin L. Mangus et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Screening for drought tolerance of maize hybrids by multi-scale analysis of root and shoot traits at the seedling stage

(2016) Viktoriya Avramova et al.   JOURNAL OF EXPERIMENTAL BOTANY

Machine Learning for High-Throughput Stress Phenotyping in Plants

(2016) Arti Singh et al.   TRENDS IN PLANT SCIENCE

Using Deep Learning for Image-Based Plant Disease Detection

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

Deep learning

(2015) Yann LeCun et al.   NATURE

Automatic Detection of Regions in Spinach Canopies Responding to Soil Moisture Deficit Using Combined Visible and Thermal Imagery

(2014) Shan-e-Ahmed Raza et al.   PLoS One

A review of advanced machine learning methods for the detection of biotic stress in precision crop protection

(2014) Jan Behmann et al.   PRECISION AGRICULTURE

A Review of Imaging Techniques for Plant Phenotyping

(2014) Lei Li et al.   SENSORS

Phenotyping for Abiotic Stress Tolerance in MaizeF

(2012) Benhilda Masuka et al.   Journal of Integrative Plant Biology