Application of Agricultural Market Intelligence among Small Scale Farmers in Nagaon District of Assam, India

Sinki Barman *

Krishi Vigyan Kendra, Simaluguri, Nagaon-782002, India.

Pallabi Das

Department of Extension Education, AAU, Jorhat-785013, India.

Ajanta Borah

Faculty of Agricultural Sciences, Mandsaur University, MP, India.

Pallavi Deka

Krishi Vigyan Kendra, Lalpool, Udalguri-784514, India.

Pallavi Saikia

Krishi Vigyan Kendra, Golaghat, AAU-Jorhat, India.

Animesh Deka

Krishi Vigyan Kendra, Simaluguri, Nagaon-782002, India.

Dipen Ch Nath

Krishi Vigyan Kendra, Simaluguri, Nagaon-782002, India.

Bhabesh Chandra Deka

Krishi Vigyan Kendra, Nagaon, India.

Jyotismita Borah

Krishi Vigyan Kendra, Baksa, Kharua, Barama-781346, India.

*Author to whom correspondence should be addressed.


Abstract

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.

Keywords: Farming system, income, employment, production problem, marketing problem, agricultural marketing intelligence


How to Cite

Sinki Barman, Pallabi Das, Ajanta Borah, Pallavi Deka, Pallavi Saikia, Animesh Deka, Dipen Ch Nath, Bhabesh Chandra Deka, and Jyotismita Borah. 2025. “Application of Agricultural Market Intelligence Among Small Scale Farmers in Nagaon District of Assam, India”. Archives of Current Research International 25 (10):121–127. https://doi.org/10.9734/acri/2025/v25i101553.