Analytical Hierarchy Process Based Multi-Criteria Analysis And Influence Technique For Agricultural Development Of Adhala River Basin Village In Maharashtra (India)

Agricultural development is unique sign for development of agricultural base country.  Multi-criteria, Analytical Hierarchy Process (AHP) Based Multi-Criteria Analysis and Influence Technique is suitable for Agricultural Development (AD). Nine criterions Population (POP), Sex Ratio (SR), Total Irrigated Land Area (IL), Total Un-irrigated Land Area (UL), Forest (FOR), Culturable Waste Land (CWL), Area under Non-agricultural Uses (AUNA), Net Area Sown (NSA) and Rainfall (RF) were selected for development indicators of Adhala river basin village in Ahmednagar district, Maharashtra (India). Correlation Matrix use for ranking the criterion selected for influence. Total Un-irrigated Land Area, Net Area Sown and Population, show higher influences on Agricultural development of basin village arrangement in the study area. Further, Culturable Waste Land, Sex Ratio and Area under Non-agricultural Uses were show significant influence in basin. Using AHP techniques for influences were calculated based on weights estimated. Normalized and distribution of specific criteria using the values of influences within the basin village. Agriculture developments influence are classified into very low (< Mean-1STD), low (Mean-1STD to Mean), moderate (Mean to Mean + 1STD), high (Mean + 1STD to Mean + 2STD), and very high (>Mean + 2STD) and agricultural development are classified into high (25.02%), moderate (3.70%) and low (7037%) categories.  The methodology is the effective tool for agricultural development of Adhala basin village.