Application of Agricultural Market Intelligence among Small Scale Farmers in Nagaon District of Assam, India
Sinki Barman, Pallabi Das, Ajanta Borah, Pallavi Deka, Pallavi Saikia, Animesh Deka, Dipen Ch Nath, Bhabesh Chandra Deka, Jyotismita Borah
Archives of Current Research International · pp. 121–127 · Published 10 Oct 2025
10.9734/acri/2025/v25i101553Abstract
Agricultural Market intelligence means market news and market information. For successful business or to develop agripreneurship farmers should make right decision about his business such as what and where and whom to sell and market intelligence provides all that information. Farmers are no longer just producers, they are becoming agripreneurs who must manage their farms like businesses. For this, they need to make critical decisions such as what to produce, where to sell, when to sell, and to whom to sell. Agricultural market intelligence provides the data and insights necessary to make these decisions effectively. For example, knowing which crops are in high demand in a particular season helps farmers choose the right crops to cultivate, thereby reducing the risk of losses due to oversupply or low market prices.The present study is conducted in Nagaon district of Assam with the help of purposive multistage random sampling method by covering 100 sample farmers where 50nos. of users and 50 nos of nonuser of market intelligence along 30 numbers of wholesaler from Nagaon district with the help of Combined questionnaire and interview approach.Among users of market intelligence unavailable of technological accessibility problems rank 1st followed by Non availability of MI for all crops and not accessible to MI in needy times rank 2nd and 3rd problem respectively. It is seen that age, education, access to credit, access to extension functionaries and knowledge level had positive significance influence on market intelligence adoption. Again, size of family, size of farm and annual income has not correlated with market intelligence adoption. It is evident that age has shown negative corelation with market intelligence adoption meant that younger generation is likely to use market intelligence for their decision making in agricultural activities.
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