A Review on the Application of RS, GIS and GPS in Agriculture and Allied Sector
Nimisha Jain Tiwari *
Department of Horticulture, (Vegetable Science), Mahakaushal University, Jabalpur, India.
RC Jain
Department of Soil Science, R.A.K College of Agriculture, Sehore, India.
Mohd Vasique Hussain
JNKVV, Jabalpur, India.
Premlal Sahu
Department of Agronomy, Krishi Vigyan Kendra, Dhamtari, IGKV, Raipur, Chhattisgarh, India.
Rachna
Department of Agribusiness management, Dr Yashwant Singh Parmar University of Horticulture and Forestry, Nauni, Himachal Pradesh, India.
Muthuraman Ramanathan
Department of Agriculture Engineering, Erode Sengunthar College of Engineering, India.
*Author to whom correspondence should be addressed.
Abstract
In developed and developing nations, agricultural sustainability is of utmost importance. This study aims to discuss the impacts and applications of geospatial information technology in agriculture and related fields. These cutting-edge technologies offer multi-scale benefits and can be used to create and synthesise new low-cost information and documents. Accurate input data for diverse agricultural production techniques and pollution from diffuse sources can be obtained quickly through data sources and integration techniques. These tools can be utilised to create maps and charts that satisfy particular requirements. Direct information about production indicators (cultivated area and yield) can be obtained by geospatial technology. For efficient agricultural monitoring, agricultural factors including soil moisture, soil type, and cultivation stage are necessary. Multifunctional photos can be used to derive mask removal. Cloaking is a necessary prerequisite for satellite remote sensing applications that anticipate or estimate crops and are helpful in the spread of precision farming. In order to allocate time and resources where they are most required and will yield the most return for the farmers, it entails the use of spatial asset allocation and management. An overview of remote sensing technology, GPS, and GIS, as well as potential applications in agriculture, will be provided by this paper and applicability of the same with various user.
Keywords: Vegetation indices, cropping pattern, GIS, remote sensing, big data analysis, disease and pest management, nutrient management