Monitoring maize growth on the North China Plain using a hybrid genetic algorithm-based back-propagation neural network model

Volume: 170, Pages: 105238 - 105238
Published: Mar 1, 2020
Abstract
Crop growth and early yield information is crucial for the establishment and adjustment of agricultural management plans. Timely, precise and regional assessments of crop growth conditions and production greatly benefit the national economy and agriculture. In this study, remotely sensed leaf area index (LAI) and vegetation temperature condition index (VTCI) data retrieved from the Global LAnd Surface Satellite (GLASS) and Moderate-resolution...
Paper Details
Title
Monitoring maize growth on the North China Plain using a hybrid genetic algorithm-based back-propagation neural network model
Published Date
Mar 1, 2020
Volume
170
Pages
105238 - 105238
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