|International Journal of Applied Information Systems|
|Foundation of Computer Science (FCS), NY, USA|
|Volume 12 - Number 15|
|Year of Publication: 2018|
|Authors: Bhagwat Rashinkar, Digambar Samarth, Pramod Wadate|
Bhagwat Rashinkar, Digambar Samarth, Pramod Wadate . A Study of Crop Combination in North-East Ahmednagar District using Weaver Technique and GIS Approach. International Journal of Applied Information Systems. 12, 15 ( September 2018), 24-28. DOI=10.5120/ijais2018451771
The analysis of crop combination founds a significant feature in agricultural geography. It provides quantitative approach for agricultural regionalization to the agriculture planner and decision maker. Crops grown in combinations where specific crop is occupies a position of total isolation remaining crops in a specific area at a given time. The maps of individual crops have been by prepared using statistical manner and Geographical Information System (GIS) software which are interesting and simplified for planners for decision making process. The study calculated the crop combination for Newasa, Shevgaon and Pathardi tehsils of eastern Ahmednagar district in Maharashtra using Weaver’s technique and prepared maps in GIS software. Agricultural crops data (2010) were obtained from District Agricultural Department, Ahemadnagar. The data were classified for these three tehsils and calculated the crop combination using Weaver’s technique (1954). Thematic maps were prepared in GIS software for obtaining crop combination results in three tehsils. It was found that there are two and four crop combinations in the rainy, winter and summer seasons in the 2010 year. This region has been dominated by Sunflower, Foodgrain, Groundnut, Maize, Cotton and Sugarcane crops. It was also observed the spatio-temporal variations in crop combinations. Geographical factors, like rainfall, physiography, transportation, socio-economic development are influencing the regional agriculture pattern. Using statistical methods and its integration in GIS environment presentation are more accurate for visualization of crop combination with thematic maps. Suggested approach is easier than the traditional approach for further decision making in agricultural environment.