Economic Analysis of the Impact of Changes in Cropping Patterns in the Parbhani District of Maharashtra, India: A Markov Chain Approach | Chapter 11 | Agricultural Sciences: Techniques and Innovations Vol. 1

The cropping pattern plays a vital role in determining the level of agricultural production and reflects the agricultural economy of a region. A change in cropping pattern implies a change in the proportion of area under different crops. The present investigation examines structural changes in the cropping pattern in Parbhani district of Maharashtra, utilising secondary time-series data on crop areas from 2013-14 to 2022-23. Markov chain analysis is a stochastic process that describes transitions from one state to another in a chain-like process. By applying Markov Chain analysis, the study evaluates shifts in cropping patterns by analysing transitions in the area allocated to different crops over time to reveal significant trends through the Transition Probability Matrix (TPM). Soybean and jowar retained the largest area shares. Hence, the area under these crops was stable, while sugarcane and soybean emerged as major area gainers, often at the expense of wheat, maize, mung, and safflower. The findings highlight soybean and sugarcane's economic viability and adaptability to local conditions. The sharp decline in traditional crops such as wheat and maize, despite their historical prominence in the region, signals a transformation in agricultural priorities. This trend points toward the need for policy intervention to address food security concerns. This analysis underscores the importance of crop selection for economic resilience and sustainable agricultural practices in the region.

 

Author (s) Details

Serene Toppo
Department of Agricultural Economics, College of Agriculture, VNMKV, Parbhani, 431402 (MS.), India.

 

R.V. Chavan
Post Graduate Institute, College of Agri-Business Management, Chakur, VNMKV, Parbhani, 431402 (MS.), India.

 

S.V. Bharti
Department of Agricultural Economics, College of Agriculture, VNMKV, Parbhani, 431402 (MS.), India.

 

S. Sangeeta Kumari
Department of Agricultural Economics, RPCAU, Pusa, 848125, Bihar, India.

 

 

Please see the book here:- https://doi.org/10.9734/bpi/asti/v1/4313

Determining the Impact of Climate Change on Cropping and Land Use Pattern in Ramanathapuram District: Markov Chain Approach Using Machine Learning | Chapter 4 | Current Research Progress in Agricultural Sciences Vol. 7

With the advancement of the green revolution, a drastic change has been witnessed in the agricultural sector in India. A cropping pattern is defined as a combination of crops that are grown in a particular geographical area. A change in the cropping pattern and land use pattern means a change in the proportion of area under different crops. This study examines the shifts in cropping patterns and land use patterns in several regions is crucial for a much better insight into the agricultural development method. The study was conducted in the Ramanathapuram district, which comprises eleven administrative blocks. Four blocks - Thiruvadanai, Mandapam, Muthukulathur, and Kamuthi were selected for the study. Time series data on the area under different crops grown in these districts from the period between 2004-2013 and 2014-23 were collected from publications of the Directorate of Economics and Statistics, Ramanathapuram. The results reveal significant changes in both land use patterns and crop stability between two periods: 2004-2013 (Period I) and 2014-2023 (Period II). Forest retention dropped sharply from 89% to 18%, with large transitions to non-agricultural uses, while barren land retention decreased from 96% to 11%. Pasture retention fell from 91% to 28%, reflecting reduced grazing areas. Conversely, the retention of culturable wasteland increased to 100%, and land under tree crops showed improved stability. In terms of cropping pattern, paddy remained the most stable crop, with retention rates of 72% and 76% in Periods I and II, respectively. Markov chain analysis of land use transitions, explains where each type of land use in the first column can transition to other types of land uses over time. Each row sums to 1, indicating a total probability of 100% for each land use category transitioning to all possible categories, including itself. Crops like sorghum and green gram showed instability during the first period, but sorghum's stability improved in the second period, while green gram continued to be unstable. This indicates that the cropping pattern and land use pattern of the region move towards diversification. These findings highlight urbanization pressures, intensified agricultural activities, and shifts in crop choice, offering valuable insights into land management strategies and developmental trends in the district. Land use regulations should focus on protecting forests, and sustainable practices must support small and marginal farmers in adapting to these changes.

 

Author (s) Details

 

Malaisamy Ayyanan
Department of Agricultural Economics, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Madurai Campus, Tamil Nadu 625104, India.

 

M Raswanthkrishna
Computer Science and Engineering (AI) Amritha University, Coimbatore, India.

 

Praveena Kathiresan
Department of Agricultural Economics, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Madurai Campus, Tamil Nadu 625104, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/crpas/v7/3907

Cropping Pattern in Karimnagar District of Telangana - An Economic Analysis| Chapter 12 | Insights into Economics and Management Vol. 4

The cropping pattern is a complicated idea because it varies over time and space. It can be defined as the percentage of area under multiple crops at a time point. It also shows in a specific land area the time and spatial arrangement or series of crops and/or fallows. The evaluation of the shift in cropping patterns in several regions is crucial in order to provide a better understanding of the method of agricultural production. This research was carried out to look at the dynamics of cropping trends in the Telangana district of Karimnagar. The requisite information was obtained from the Economics and Statistics Directorate of the Government of Telangana from 1966-67 to 2016-17. And with the aid of the Markov chain, it was analysed by a wise decade and analysed for five cycles during the last decade. The key findings of the study showed that every group of crops did not maintain its area in Karimnagar, but over the quantity, the acreage of the crops continuously changed from one set of crops to another set. The area of cereals was found to be more stable, while the loss of area from cereals to commercial crops such as cotton and turmeric etc. suggested that the region's cropping pattern is heading towards diversification in the northern zone of Telangana. Within the variety of crops, there is a broader scope for deciding to place agriculture on the pedestal of Sustainable development, which has to be considered in analytical and extension programmes.

Author (s) Details

D. A. Rajini Devi
RARS, PJTSAU, Jagtial, 505327, Telangana, India.

R. Uma Reddy
RARS, PJTSAU, Jagtial, 505327, Telangana, India.

B. Madavi
RARS, PJTSAU, Jagtial, 505327, Telangana, India.

P. Ravi
RARS, PJTSAU, Jagtial, 505327, Telangana, India.

P. Sadvi
RARS, PJTSAU, Jagtial, 505327, Telangana, India.

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