HIGHLIGHTS
- who: Yixiu Han et al. from the College of Resources and Environment, and Forestry University, School of Hydraulic and Ecological Engineering, Nanchang Institute of Technology, Nanchang, China have published the Article: A Novel Hybrid GOA-XGB Model for Estimating Wheat Aboveground Biomass Using UAV-Based Multispectral Vegetation Indices, in the Journal: (JOURNAL)
- what: The authors established model known as extreme gradient boosting (XGBoost) optimization using the grasshopper optimization algorithm (GOA-XGB) which could accurately determine an ideal combination of_(VIs) for simulating wheat AGB. The trial and error method was used to debug the number . . .
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