PADDY (Oryza sativa L.) CROP ACREAGE AND YIELD ESTIMATION USING GEO-SPATIAL TECHNOLOGIES IN SHORAPUR TALUK OF YADGIR DISTRICT
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Date
2018-07-30
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UNIVERSITY OF AGRICULTURAL SCIENCES, RAICHUR
Abstract
Paddy crop acreage and yield estimation in Shorapur taluk of Yadgir district, Karnataka was carried out by selecting 20 ground truth sites, using LISS-III data of RESOURCESAT-1 and LANDSAT-8 of 31st January 2017, 24th February 2017 & 20th March 2017 and LANDSAT-8 data of 15th April 2017. ERDAS IMAGINE 2014 and Arc GIS 9.0 software’s were used in data analysis. To assess the condition of the paddy crop different proximal sensor were used like NDVI meter, SPAD meter; infrared gun and canopy analyzer were used during the study. The acreage estimation was done by running the supervised classification with maximum likelihood algorithm and yield estimation by developing yield model using the relationship between crop cutting experiments yield data and NDVI and LAI of paddy crop. There were 20 surface soil samples collected randomly from different paddy sites to demarcate soil fertility levels before transplanting revealed that the soil pH varied in the locations 7.8 to 8.9. The analysis of soil samples from the selected ground truth sites revealed that the soils are neutral to alkaline in reaction with normal electrical conductivity, low to medium organic carbon content, low to medium available nitrogen, medium to high available phosphorus and high available potassium content. The estimated acreage under paddy crop in Shorapur taluk was 19,398 ha. The acreage estimates using remote sensing data and GIS when compared with acreage estimates reported by Department of Agriculture showed a relative deviation of +17.00 per cent. Thus the study has showed that real time spatial and temporal management of paddy crop at cadastral level is possible using soil data, weather parameters and vegetation indices derived from high resolution Indian satellite data.
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