CROP SHIFTS IN RAYALASEEMA REGION OF ANDHRA PRADESH: A MARKOV CHAIN APPROACH

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V. RAGAMALIKA*, S. RAJESWARI, B. APARNA AND B. RAVINDRA REDDY

Department of Agricultural Economics, S.V. Agricultural College, Tirupati, A.P. 517502

ABSTRACT

The present study was aimed to know the direction of cropping pattern changes in the selected districts of
Rayalaseema region of Andhra Pradesh by using Markov chain analysis. Time series data on area under different
crops grown in the selected districts for a period from 1992-93 to 2016-17 was collected and analysed. The results
revealed that other crops had highest retention probability (0.9520) in Chittoor district, in Y.S.R Kadapa district
cotton had highest retention probability to an extent of 0.8050, in Anantapuramu district groundnut had highest
retention probability of 0.8737 and Sunflower had highest retention probability (0.8635) in Kurnool district.

KEYWORDS:

Crop shifts, markov chain analysis, transitional probability matrix

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