Lihua Zhu1, Zhiqiang Wu1, Lei Wang2, Yu Wang1, *
CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 405-418, 2020, DOI:10.32604/cmc.2020.010124
Abstract The wind as a natural phenomenon would cause the derivation of the pesticide
drops during the operation of agricultural unmanned aerial vehicles (UAV). In particular,
the changeable wind makes it difficult for the precision agriculture. For accurate spraying
of pesticide, it is necessary to estimate the real-time wind parameters to provide the
correction reference for the UAV path. Most estimation algorithms are model based, and as
such, serious errors can arise when the models fail to properly fit the physical wind motions.
To address this problem, a robust estimation model is proposed in this paper. Considering
the diversity of the… More >
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