HI from the Sky: Estimating harvest index from UAVs combined with machine learning
Author:
Affiliation:
1. Agriculture and Environmental Sciences, School of Biosciences, University of Nottingham, Sutton Bonington Campus , Loughborough LE12 5NA , UK
Publisher
Oxford University Press (OUP)
Subject
Plant Science,Genetics,Physiology
Link
https://academic.oup.com/plphys/advance-article-pdf/doi/10.1093/plphys/kiad611/54090392/kiad611.pdf
Reference9 articles.
1. Yield estimation in cotton using UAV-based multi-sensor imagery;Feng;Biosyst Eng,2020
2. Estimating photosynthetic traits from reflectance spectra: a synthesis of spectral indices, numerical inversion, and partial least square regression;Fu;Plant Cell Environ,2020
3. Assessing vegetation function with imaging spectroscopy;Gamon;Surv Geophys,2019
4. Faba bean and pea harvest index estimations using aerial-based multimodal data and machine learning algorithms;Ji;Plant Physiol,2023
5. Evaluation of UAV-derived multimodal remote sensing data for biomass prediction and drought tolerance assessment in bioenergy sorghum;Li;Crop J,2022
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