Mapping of Soil Fertility Status in a Coastal Village of Odisha Using Geospatial Technology
Pradipta Majhi
Krishi Vigyan Kendra, Jagatsinghpur, Odisha University of Agriculture and Technology, Odisha 754160, India.
Prasannajit Mishra
Directorate of Extension Education, Odisha University of Agriculture and Technology, Bhubaneswar, Odisha 751003, India.
Jibanjit Sen
Krishi Vigyan Kendra, Jagatsinghpur, Odisha University of Agriculture and Technology, Odisha 754160, India.
Dwarika Mohan Das
Krishi Vigyan Kendra, Jagatsinghpur, Odisha University of Agriculture and Technology, Odisha 754160, India.
Amit Phonglosa *
Directorate of Extension Education, Odisha University of Agriculture and Technology, Bhubaneswar, Odisha 751003, India.
Debasis Panda
Krishi Vigyan Kendra, Jagatsinghpur, Odisha University of Agriculture and Technology, Odisha 754160, India.
Hemanta Kumar Sahoo
Directorate of Extension Education, Odisha University of Agriculture and Technology, Bhubaneswar, Odisha 751003, India.
Pravat Kumar Roul
Directorate of Extension Education, Odisha University of Agriculture and Technology, Bhubaneswar, Odisha 751003, India.
*Author to whom correspondence should be addressed.
Abstract
The most fundamental decision-making tool for sustainable soil nutrient management is the assessment of soil fertility in a region. During 2021, a soil fertility status inventory was prepared through National Innovations on Climate Resilient Agriculture (NICRA) project in Achyutadaspur village of Jagatsinghpur district, Odisha. A total of 125 surface soil samples were randomly collected from a depth of 0-15 cm with GPS locations and soil parameters like pH, electrical conductivity, organic carbon, available N, P, K, S, Zn, and B were evaluated using standard analytical procedures. GIS maps have been prepared using ArcGIS software based on the analysis report. The majority of the soil was found acidic around 62.4% area of the village, followed by neutral soil pH in 33.6% area. The organic carbon status of the soil was found low in 79.2% area and medium in 20.8% area, available N was found low in 96% area and medium in 4% area, available P was found medium in 82.4% area and high in 17.6% area, available K was low in 27.2% area, medium in 64% area, and high in 8.8% area, and available S was found low in 37.6% area and medium in 62.4% area. Among the available micronutrients, Zn was found low in 79.2% area and medium in 20.8% area. Similarly, hot water extractable boron was found low in 92.6% area of the region and medium in 7.4% area. By adopting soil map based fertilizer recommendation with improved practices in the Achyutadaspur village, 17.92% yield was increased over farmers’ practices. The benefit cost ratio (B:C ratio) of rice was found to be 1.89 whereas 1.65 in farmers practices.
Keywords: Fertility status, fertility maps, rice, yield, coastal area