Precision Agriculture: UAV-Based Soil Mapping and Remote Sensing Applications

Meshram, Pranali G. and Shaniware, Yogesh A. and Bhondave, Gauri P. and Zol, Dnyaneshwari M. and Pandey, Priya (2024) Precision Agriculture: UAV-Based Soil Mapping and Remote Sensing Applications. Asian Research Journal of Agriculture, 17 (4). pp. 885-891. ISSN 2456-561X

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Abstract

Using Unmanned Aerial Vehicle (UAV) equipped with remote sensing cameras that measure the electromagnetic spectrum of light reflected back from the ground below, this technology does soil mapping and field analysis. The way that different elements reflect different light wavelengths can be used to identify them. Reams of data on those wavelengths are gathered by multispectral image sensors, which power sophisticated AI software that can identify even the smallest variations in the elemental composition of soil. There are numerous positives to soil mapping, including helping farmers choose the best crops, applying the right fertilizers, and scheduling irrigation. Soil mapping also makes it easier to create plans for soil conservation and restoration that work. UAVs facilitate rapid deployment, enabling data collection near end-users, while delivering a more comprehensive and precise dataset compared to traditional camera-based methods. This study will provide effective technical support and decision-making assistance for future agricultural land planning.

Item Type: Article
Subjects: STM One > Agricultural and Food Science
Depositing User: Unnamed user with email support@stmone.org
Date Deposited: 26 Nov 2024 10:55
Last Modified: 07 Apr 2025 12:58
URI: http://note.send2pub.com/id/eprint/1850

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