A novel framework to detect conventional tillage and no-tillage cropping system effect on cotton growth and development using multi-temporal UAS data
作者： Akash Ashapure , Jinha Jung , Junho Yeom , Anjin Chang , Murilo Maeda
DOI: 10.1016/J.ISPRSJPRS.2019.04.003
关键词: Canopy 、 Tillage 、 Conventional tillage 、 Square meter 、 Normalized Difference Vegetation Index 、 Mathematics 、 Precision agriculture 、 Cropping system 、 Growing season 、 Agronomy
摘要: Abstract Recent years have witnessed enormous interest in the application of Unmanned Aerial Systems (UAS) for precision agriculture. This study presents a novel approach to use multi-temporal UAS data comparison two management practices cotton, conventional tillage (CT) and no-tillage (NT). The plant parameters considered are: canopy height (CH), cover (CC), volume (CV) Normalized Difference Vegetation Index (NDVI). Initially, whole area was divided into approximately one square meter size grids. Measurements were extracted grid wise using high resolution captured ten times over crop growing season cotton. One tailed Z-test hypothesis reveals that there is significant difference between cotton growth under CT NT almost all epochs. With 95% confidence interval, grown found taller canopy, higher cover, bigger biomass NDVI, as compared those cropping system.
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