A Review on Advances in Agriculture and Agroforestry with GPS and GIS
Makhan Singh Karada, Rakesh Bajpai, Megha Singh, Alok Kumar Singh, Dheer Agnihotri, Bipin Kumar Singh
International Journal of Plant & Soil Science · pp. 150–160 · Published 21 Mar 2023
10.9734/ijpss/2023/v35i62849Abstract
Various researchers, agronomists, scientists, and engineers utilize a variety of technologies every year to boost agricultural productivity at a low cost, but this has a negative influence on the environment. Precision agriculture is the study of the use of technology to enhance agricultural operations in comparison to conventional agricultural methods and lessen negative environmental impacts. Precision agriculture depends heavily on remote sensing technology, and this technology's use in precision agriculture opens up new possibilities for raising agricultural standards. The global positioning system (GPS) enables the geographic Latitude and Longitude data of field data (slope, aspect, nutrients, and yield). Since it has the ability to continuously determine and record the right position, it can build a bigger database for the user. A geographic information system (GIS) that can handle and store these data is needed for further investigation. Despite agroforestry's limited spatial extent, isolation, and higher functional and structural complexity, recent advancements in geospatial technologies, as well as the free accessibility of spatial information and software, can provide additional insight into assessing tools, making the decisions, and developing policies. This review has covered the current uses of geospatial technology, along with their restrictions and limits, as well as prospective future uses for agroforestry. This review discusses GPS, GIS, and remote sensing technology and explains how they might be used in precision agriculture and agroforestry.
Cited by 7
Manuel Santillán-Gonzáles, Jorge Ganoza-Roncal, Roiser Lobato-Galvez · Scientia agropecuaria · 2025
Peihua Ma, Xiaoxue Jia, Mairui Gao · Comprehensive Reviews in Food Science and Food Safety · 2024
ASIF RAIHAN · Asian Journal of Forestry · 2023
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Dwaram Mrudula, Vaibhav Bhagwan Pandit, Ch. Ravali · Artificial Intelligence and Data Sciences for Precision Agriculture · 2026
Fernando Garcia, Maria do Socorro Bezerra de Araujo, Antonio Celso De Souza Leite · Revista Brasileira de Geografia Física · 2024
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