UAS imaging-based decision tools for arid winter wheat and irrigated potato production management
作者： Lav R. Khot , Sindhuja Sankaran , Arron H. Carter , Dennis A. Johnson , Thomas F. Cummings
DOI: 10.1080/01431161.2015.1117685
关键词: Agronomy 、 Environmental science 、 Crop 、 Agricultural productivity 、 Production manager 、 Green manure 、 Altitude 、 Agriculture 、 Arid 、 Row crop
摘要: Small unmanned aerial systems UAS are gaining global attention for rapid image-based decision making in agricultural production. In this study, the aim was to evaluate UAS-based imagery assessment of wheat winter survival and spring stand production crop necrosis potato Both critical aspects field arid row irrigated farming practices. Aerial images from 97 hard 352 soft single nucleotide polymorphism plots, 32 plots with 1 2 years green manure applications were acquired using a multi-band imaging sensor integrated UAS. The useful evaluating plant stand, Pearson correlation coefficient r range 0.60–0.82 between ground reference data. Similarly, showed strong relationship data = 0.93 0.88 application, respectively. Overall, provided quantifiable, timely, unbiased high spatial resolution about 2.3 cm/pixel at 100 m altitude that can aid making.
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