Machine learning-based estimation of potato chlorophyll content at different growth stage using UAV hyperspectral data
Author:
Affiliation:
1. Henan Polytechnic University, School of Surveying and Land Information Engineering
2. Henan Polytechnic University, School of Surveying and Land Information Engineering; GZH-HNJ BDS AGR Co. Ltd.
Publisher
Lithuanian Research Centre for Agriculture and Forestry
Subject
Agronomy and Crop Science
Link
http://www.zemdirbyste-agriculture.lt/wp-content/uploads/2021/05/108_2_str24.pdf
Reference42 articles.
1. On a new fixed point theorem with an application on a coupled system of fractional differential equations
2. Mathematical analysis of nonlinear integral boundary value problem of proportional delay implicit fractional differential equations with impulsive conditions
3. Using Machine Learning for Estimating Rice Chlorophyll Content from In Situ Hyperspectral Data
4. Plant species determination by coding leaf reflectance spectrum and its derivatives
5. Phenology affects differentiation of crop and weed species using hyperspectral remote sensing
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