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DOI Prefix: 10.47001/IRJIET
Vol 4 No 8 (2020): Volume 4, Issue 8, August 2020 | Pages: 6-11
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 08-08-2020
Agricultural drones let the farmers observe and analyze the fields/ sectors from the sky. This overview of the sector can reveal several problems like soil variation, irrigation problems, and pest and fungal infections. The mixture of these factors permits the farmer to distinguish between healthy and unhealthy plants, a distinction not always clearly visible. Thus, these views will aid in evaluating crop growth and production. The project is to develop an autonomous flying quadcopter, equipped with a GPS tracking system and programmed to be able to fly autonomously from one location to a different location using GPS coordinates. Its goal is to act as a proof-of-concept for a small scale autonomous geographical region mapping (agricultural field in this case) and determine plant health using the Visible Atmospherically Resistant Index algorithm.
Quadcopter, Plant Health, Visible Atmospherically Resistant Index (VARI), Normalized Difference Vegetation Index (NDVI), Unmanned Ariel Vehicles (UAV), Geographical Information System (GIS), GPS Module and Telemetry.
Yogesh Bharambe, Divesh Singh, Vedang Binsale, “Design and Development of Agricultural Drone for Plant Health Analysis” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 4, Issue 8, pp 6-11, August 2020. https://doi.org/10.47001/IRJIET/2020.408002
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