Unmanned aerial vehicle hyperspectral index optimization method for identifying water demand of sugar cane

• Main Authors: LIANG JUNWEI, PENG PANPAN, SU DONGYUAN, XIE ZHIFENG, WU CHANGHONG, GAN FU, HUANG KAI, YU TING, ZHU FANGTAN, HUANG WENER, GAN XUEYING, GUAN YUNLEI, BI FUGANG, SHAO JINHUA, RUAN QINGBO
• Format: Patent
• Language: Chinese; English
• Published: 04.04.2023
• Subjects: INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES; MEASURING; PHYSICS; TESTING

The invention discloses an unmanned aerial vehicle hyperspectral index optimization method for sugar cane water demand identification, and relates to the technical field of planting industry. The method comprises the following steps: S1, compiling a flight track of the unmanned aerial vehicle, compiling the flight track of the unmanned aerial vehicle according to the requirements of irrigation area water resource management and control, and testing and standardizing a flight system, a control system, a data transmission system and a dynamic monitoring system of the unmanned aerial vehicle; an unmanned aerial vehicle carries a hyperspectral imaging system to carry out image information imaging on sugar cane in an irrigation area, a growth model of the sugar cane is established, meanwhile, the climate in the growth process of the sugar cane and the physiological effect under crop water stress are recognized, through a hyperspectral index optimization technology, the spectral index after optimization is 60% or a