2024, Vol. 9, Special Issue 5

The Markov chain analysis of cropping patterns in Nanded district, Maharashtra, highlights significant shifts in crop acreage from 2013-14 to 2022-23, as summarized in the transitional probability matrix (TPM). The matrix reveals the stability of different crops based on the proximity of diagonal elements to 0 or 1. Notably, the category of "other crops," including Tur and Cotton, demonstrated high retention probabilities (0.77 and 0.79), with a complete loss of Jowar's acreage (100 per cent) to other crops.

Wheat retained 54 per cent of its area but transferred portions to Maize, Green Gram, Black Gram, and Soybean. In contrast, Maize retained only 2 per cent of its previous area, primarily losing it to Jowar. Green Gram and Black Gram showed substantial area loss, with the latter transferring 97 per cent to Cotton. Tur maintained 77 per cent of its area, while Soybean retained 69 per cent. Cotton emerged as the most stable crop, with a 79 per cent retention probability, whereas Sugarcane exhibited total loss of its acreage, mainly to Soybean and Gram. These findings indicate significant shifts in cropping patterns, influenced by the competitive dynamics among various crops in the region.