Automatic estimation of heading date of paddy rice using deep learning

Importance of the Interaction between Heading Date Genes Hd1 and Ghd7 for Controlling Yield Traits in Rice

(2019) Zhen-Hua Zhang et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Rice heading stage automatic observation by multi-classifier cascade based rice spike detection method

(2018) Xiaodong Bai et al.   AGRICULTURAL AND FOREST METEOROLOGY

Deep learning in agriculture: A survey

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

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

Detection and analysis of wheat spikes using Convolutional Neural Networks

(2018) Md Mehedi Hasan et al.   Plant Methods

Lessons from natural variations: artificially induced heading date variations for improvement of regional adaptation in rice

(2018) Yong Hu et al.   THEORETICAL AND APPLIED GENETICS

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

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

In-field automatic observation of wheat heading stage using computer vision

(2016) Yanjun Zhu et al.   BIOSYSTEMS ENGINEERING

DeepFruits: A Fruit Detection System Using Deep Neural Networks

(2016) Inkyu Sa et al.   SENSORS

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Automated characterization of flowering dynamics in rice using field-acquired time-series RGB images

(2015) Wei Guo et al.   Plant Methods

Days to heading 7, a major quantitative locus determining photoperiod sensitivity and regional adaptation in rice

(2014) He Gao et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA