Collaborative Wheat Lodging Segmentation Semi-Supervised Learning Model Based on RSE-BiSeNet Using UAV Imagery

Damage Assessment Due to Wheat Lodging Using UAV-Based Multispectral and Thermal Imageries

(2023) Sudarsan Biswal et al.   Journal of the Indian Society of Remote Sensing

Wheat Lodging Segmentation Based on Lstm_PSPNet Deep Learning Network

(2023) Jun Yu et al.   Drones

A novel UNet segmentation method based on deep learning for preferential flow in soil

(2023) Hao Bai et al.   SOIL & TILLAGE RESEARCH

LodgeNet: Improved rice lodging recognition using semantic segmentation of UAV high-resolution remote sensing images

(2022) Zhongbin Su et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

An explainable XGBoost model improved by SMOTE-ENN technique for maize lodging detection based on multi-source unmanned aerial vehicle images

(2022) Liang Han et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Semi-supervised Learning for Weed and Crop Segmentation Using UAV Imagery

(2022) Chunshi Nong et al.   Frontiers in Plant Science

Identification lodging degree of wheat using point cloud data and convolutional neural network

(2022) Yunlong Li et al.   Frontiers in Plant Science

Wheat Head Detection using Deep, Semi-Supervised and Ensemble Learning

(2021) Fares Fourati et al.   CANADIAN JOURNAL OF REMOTE SENSING

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

(2021) Baohua Yang et al.   Agronomy-Basel

Use of unmanned aerial vehicle imagery and a hybrid algorithm combining a watershed algorithm and adaptive threshold segmentation to extract wheat lodging

(2021) Wenxuan Cao et al.   PHYSICS AND CHEMISTRY OF THE EARTH

Accurate Wheat Lodging Extraction from Multi-Channel UAV Images Using a Lightweight Network Model

(2021) Baohua Yang et al.   SENSORS

Semantic Segmentation Using Deep Learning with Vegetation Indices for Rice Lodging Identification in Multi-date UAV Visible Images

(2020) Ming-Der Yang et al.   Remote Sensing

Wheat Lodging Detection from UAS Imagery Using Machine Learning Algorithms

(2020) Zhao Zhang et al.   Remote Sensing

Semantic scene segmentation in unstructured environment with modified DeepLabV3+

(2020) Bhakti Baheti et al.   PATTERN RECOGNITION LETTERS

Automatic extraction of wheat lodging area based on transfer learning method and deeplabv3+ network

(2020) Dongyan Zhang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Adaptive autonomous UAV scouting for rice lodging assessment using edge computing with deep learning EDANet

(2020) Ming-Der Yang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Identifying sunflower lodging based on image fusion and deep semantic segmentation with UAV remote sensing imaging

(2020) Zhishuang Song et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Use of Unmanned Aerial Vehicle Imagery and Deep Learning UNet to Extract Rice Lodging

(2019) Zhao et al.   SENSORS

Estimates of rice lodging using indices derived from UAV visible and thermal infrared images

(2018) Tao Liu et al.   AGRICULTURAL AND FOREST METEOROLOGY

Spatial and Spectral Hybrid Image Classification for Rice Lodging Assessment through UAV Imagery

(2017) Ming-Der Yang et al.   Remote Sensing

A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method

(2015) M. Pérez-Ortiz et al.   APPLIED SOFT COMPUTING