Rapid Detection and Counting of Wheat Ears in the Field Using YOLOv4 with Attention Module

Automatic wheat ear counting using machine learning based on RGB UAV imagery

(2020) Jose A. Fernandez‐Gallego et al.   PLANT JOURNAL

SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging

(2020) Tanuj Misra et al.   Plant Methods

YOLO-Tomato: A Robust Algorithm for Tomato Detection Based on YOLOv3

(2020) Guoxu Liu et al.   SENSORS

Wheat ear counting using K-means clustering segmentation and convolutional neural network

(2020) Xin Xu et al.   Plant Methods

An automatic method for counting wheat tiller number in the field with terrestrial LiDAR

(2020) Yuan Fang et al.   Plant Methods

Global Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods

(2020) Etienne David et al.   Plant Phenomics

A study on plant recognition using conventional image processing and deep learning approaches

(2019) S. Anubha Pearline et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Automatic Wheat Ear Counting Using Thermal Imagery

(2019) Jose Fernandez-Gallego et al.   Remote Sensing

SmokeNet: Satellite Smoke Scene Detection Using Convolutional Neural Network with Spatial and Channel-Wise Attention

(2019) Rui Ba et al.   Remote Sensing

DeepCount: In-Field Automatic Quantification of Wheat Spikes Using Simple Linear Iterative Clustering and Deep Convolutional Neural Networks

(2019) Pouria Sadeghi-Tehran et al.   Frontiers in Plant Science

Evaluation of Aboveground Nitrogen Content of Winter Wheat Using Digital Imagery of Unmanned Aerial Vehicles

(2019) Baohua Yang et al.   SENSORS

TasselNetv2: in-field counting of wheat spikes with context-augmented local regression networks

(2019) Haipeng Xiong et al.   Plant Methods

Wheat ear counting in-field conditions: high throughput and low-cost approach using RGB images

(2018) Jose A. Fernandez-Gallego et al.   Plant Methods

Recognition of Wheat Spike from Field Based Phenotype Platform Using Multi-Sensor Fusion and Improved Maximum Entropy Segmentation Algorithms

(2018) Chengquan Zhou et al.   Remote Sensing

Wheat Ears Counting in Field Conditions Based on Multi-Feature Optimization and TWSVM

(2018) Chengquan Zhou et al.   Frontiers in Plant Science

Sensors for measuring plant phenotyping: A review

(2018) Ruicheng Qiu et al.   International Journal of Agricultural and Biological Engineering

Ear density estimation from high resolution RGB imagery using deep learning technique

(2018) Simon Madec et al.   AGRICULTURAL AND FOREST METEOROLOGY

Detection and analysis of wheat spikes using Convolutional Neural Networks

(2018) Md Mehedi Hasan et al.   Plant Methods

Detecting spikes of wheat plants using neural networks with Laws texture energy

(2017) Li Qiongyan et al.   Plant Methods

A two-camera machine vision approach to separating and identifying laboratory sprouted wheat kernels

(2016) Bijay L. Shrestha et al.   BIOSYSTEMS ENGINEERING

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

(2016) Yanjun Zhu et al.   BIOSYSTEMS ENGINEERING

Coarse and fine regulation of wheat yield components in response to genotype and environment

(2014) Gustavo A. Slafer et al.   FIELD CROPS RESEARCH

In‐fieldTriticum aestivumear counting using colour‐texture image analysis

(2010) F. Cointault et al.   NEW ZEALAND JOURNAL OF CROP AND HORTICULTURAL SCIENCE