Inversion modeling of japonica rice canopy chlorophyll content with UAV hyperspectral remote sensing - Cao, Yingli; Jiang, Kailun; Wu, Jingxian; Yu, Fenghua; Du, Wen; Xu, Tongyu (PloS one, 2020)
Keywords: Advantages; Agriculture; Algorithms; Artificial neural networks; Biology and Life Sciences; Canopies; Chlorophyll; Chlorophyll content; Computer and Information Sciences; Electrical engineering; Engineering and Technology; Engineering research; Forecasting; Hyperspectral imaging; Information processing; Information technology; Inversion; Learning algorithms; Machine learning; Methods; Neural networks; Optimization; Particle swarm optimization; Physical Sciences; Physiological aspects; Principal components analysis; Remote sensing; Research and Analysis Methods; Rice; Root-mean-square errors; Spectrophotometry; Swarm intelligence; Unmanned aerial vehicles; Vegetation; Wheat; China