Precision crop mapping: within plant canopy discrimination of crop and soil using multi-sensor hyperspectral imagery.

ABSTRACT: Leveraging diverse optomechanical and imaging technologies for precision agriculture applications is gaining attention in emerging economies. The precise spatial detection of plant objects in farms is crucial for optimizing plant-level nutrition and managing pests and diseases. High-resolution remote sensors mounted on drones have been increasingly deployed for large-scale crop mapping and field variability characterization. While field-level crop identification and crop-soil discrimination have been studied extensively, within-plant canopy discrimination of crop and soil has not been explored in real agricultural farms. The objectives of this study are: (i) adoption and assessment of spectral unmixing for discriminating crop and soil at within-plant canopy level, and (ii) generation of be

SUBMITTER: Manohar Kumar CVSS 

PROVIDER: S-EPMC11496745 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature