Application Progress of UAV-LARS in Identification of Crop Diseases and Pests

G Zhao, Y Zhang, Y Lan, J Deng, Q Zhang, Z Zhang… - Agronomy, 2023 - mdpi.com
Disease and pest stress is one of the important threats to crop growth and development,
which have a very adverse impact on crop yield and quality every year, even leading to crop …

UAV-based hyperspectral and ensemble machine learning for predicting yield in winter wheat

Z Li, Z Chen, Q Cheng, F Duan, R Sui, X Huang, H Xu - Agronomy, 2022 - mdpi.com
Winter wheat is a widely-grown cereal crop worldwide. Using growth-stage information to
estimate winter wheat yields in a timely manner is essential for accurate crop management …

Identification and severity monitoring of maize dwarf mosaic virus infection based on hyperspectral measurements

L Luo, Q Chang, Q Wang, Y Huang - Remote Sensing, 2021 - mdpi.com
Prompt monitoring of maize dwarf mosaic virus (MDMV) is critical for the prevention and
control of disease and to ensure high crop yield and quality. Here, we first analyzed the …

[HTML][HTML] Cotton aphid infestation monitoring using Sentinel-2 MSI imagery coupled with derivative of ratio spectroscopy and random forest algorithm

H Fu, H Zhao, R Song, Y Yang, Z Li… - Frontiers in Plant …, 2022 - frontiersin.org
Aphids are one of the main pests of cotton and have been an important disaster limiting
cotton yield. It is important to use satellite multispectral data to monitor the severity of cotton …

无人机遥感监测作物病虫害胁迫方法与最新研究进展

杨国峰, 何勇, 冯旭萍, 李禧尧, 张金诺, 俞泽宇 - 智慧农业, 2022 - smartag.net.cn
病虫害是作物生产面临的主要胁迫之一. 近年来, 随着无人机产业的快速发展,
无人机农业遥感因其图像空间分辨率高, 数据获取时效性强和成本低等特点 …