Precision Agriculture: UAV-Based Soil Mapping and Remote Sensing Applications
Pranali G. Meshram
Division of Soil Science, College of Agriculture, Pune, Mahatma Phule Krishi Vidyapeeth, Rahuri, MS, India.
Yogesh A. Shaniware *
Department of Agricultural Botany, College of Agriculture, Dhule, Mahatma Phule Krishi Vidyapeeth, Rahuri, MS, India.
Gauri P. Bhondave
Division of Agronomy, College of Agriculture, Pune, Mahatma Phule Krishi Vidyapeeth, Rahuri, MS, India.
Dnyaneshwari M. Zol
Department of Soil Science and Agricultural Chemistry, College of Agriculture, Parbhani, Vasantrao Naik Marathwada Krishi Vidyapeeth, MS, India.
Priya Pandey
Department of Horticulture, College of Agriculture, Dhule, Mahatma Phule Krishi Vidyapeeth, Rahuri, MS, India.
*Author to whom correspondence should be addressed.
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.
Keywords: Unmanned Aerial Vehicle (UAV), soil mapping, spectral imaging, image processing, soil