CIG based Stress Identification Method for Maize Crop using UAV based Remote Sensing

Kumar, Ajay and Taparia, Mahesh and Rajalakshmi, P. and Guo, Wei and Naik B, Balaji and Marathi, Balram and Desai, U. B. (2020) CIG based Stress Identification Method for Maize Crop using UAV based Remote Sensing. In: 2020 IEEE Sensors Applications Symposium, SAS 2020 - Proceedings, 9 March 2020 - 11 March 2020.

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The health and yield of crops depend on the use of water, nutrients, and fertilizers. Due to climatic changes and reduction in rainfall, farmers are relying on groundwater for irrigation, which should be used optimally. The use of water and other agronomic inputs can be optimized by monitoring the health of crops and soil. Usually, it is done by manual observation, which is labor-intensive and time-consuming. In this paper, we propose Chlorophyll Index Green (CIG) vegetative index-based method for monitoring the crop health using near-infrared, green, and red band images acquired using a multispectral camera mounted on Unmanned Ariel Vehicle (UAV). The proposed method clearly classifies the water-stressed area of the field and helps in optimizing the irrigation process and monitoring the crop-health.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: computer vision; crop monitoring; high throughput plant phenotyping; Multispectral images; UAV based remote sensing;Chlorophyll Index; Climatic changes; Identification method; Labor intensive; Multi-spectral cameras; Near Infrared; Unmanned ariel vehicles; Vegetative index
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 09 Jul 2021 09:25
Last Modified: 01 Mar 2022 07:29
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