aSaurendra Kumar Agasti, Kushal Dasgupta*a and Abhijit Sahab and Asanul Hoquec
a*Agricultural Chemistry & Soil Science, Institute of Agricultural Science, University of Calcutta, Hazra road, Ballygunge, West Bengal-700019, India.
bAgronomy, Institute of agricultural science, university of Calcutta,Hazra road, Ballygunge, West Bengal-700019, India.
cDepartment of Agronomy,Uttar Banga Krishi Viswavidyalaya, Pundibari, Cooch Behar, West Bengal-736165, India.
Email: kushaldasgupta97@gmail.com
Received-22.05.2024, Revised-10.06.2024, Accepted-25.06.2024
Abstract: Soil is the basic condition of all life on earth. Soil nutrients are the main source of soil fertility that promotes plant growth. Soil nutrients have become an irreplaceable resource in recent years, which should be increased due to the increase in the use of inorganic fertilizers, domestic and industrial sewage, etc. Mapping the regional variability and quality of soil nutrients is important especially when the main source of agriculture is soil fertility, remote sensing and global positioning system are the most useful tools for farming and decision making. A remote sensing database is useful for monitoring agricultural production. It provides detailed information on agricultural operations such as identification and classification of different crops, monitoring of crop condition, crop growth, area and yield estimation, mapping of soil properties and precision farming. Ten fertility estimates were analysed and mapped using a geographic information system (GIS) from a (GPS-based) soil sample collected from farmers’ fields. The pH of the soil samples varied from slightly acidic to very acidic. Soil organic carbon ranged from very low to very high. Available nitrogen was low, available phosphorus was generally medium to very high and available potassium was very low to low, and sulphur was low to adequate. The nutrient map available with ArcGIS shows this clearly in some areas. The purpose of this work is to study the applications of geoinformatics to assess the availability of soil nutrients and soil fertility in precision agriculture in areas with rainfall.
Keywords: Land survey, GIS, Remote sensing, GPS, Soil fertility
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