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Recent advances of hyperspectral imaging technology and applications in agriculture
Remote sensing is a useful tool for monitoring spatio-temporal variations of crop
morphological and physiological status and supporting practices in precision farming. In …
morphological and physiological status and supporting practices in precision farming. In …
Are unmanned aerial vehicle-based hyperspectral imaging and machine learning advancing crop science?
The past few years have seen increased interest in unmanned aerial vehicle (UAV)-based
hyperspectral imaging (HSI) and machine learning (ML) in agricultural research …
hyperspectral imaging (HSI) and machine learning (ML) in agricultural research …
Wheat growth monitoring and yield estimation based on multi-rotor unmanned aerial vehicle
Z Fu, J Jiang, Y Gao, B Krienke, M Wang, K Zhong… - Remote Sensing, 2020 - mdpi.com
Leaf area index (LAI) and leaf dry matter (LDM) are important indices of crop growth. Real-
time, nondestructive monitoring of crop growth is instructive for the diagnosis of crop growth …
time, nondestructive monitoring of crop growth is instructive for the diagnosis of crop growth …
Estimating the maize above-ground biomass by constructing the tridimensional concept model based on UAV-based digital and multi-spectral images
S Meiyan, S Mengyuan, D Qizhou, Y ** via UAV-based imaging, modelling, and machine learning
High-throughput phenoty** has become the frontier to accelerate breeding through linking
genetics to crop growth estimation, which requires accurate estimation of leaf area index …
genetics to crop growth estimation, which requires accurate estimation of leaf area index …
A model for phenoty** crop fractional vegetation cover using imagery from unmanned aerial vehicles
Fractional vegetation cover (FVC) is the key trait of interest for characterizing crop growth
status in crop breeding and precision management. Accurate quantification of FVC among …
status in crop breeding and precision management. Accurate quantification of FVC among …