Relevant bibliographies by topics / AGRICULTURAL PRODUCE MARKETING COMMITTEE (APMC)

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  2. Dissertations / Theses
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Academic literature on the topic 'AGRICULTURAL PRODUCE MARKETING COMMITTEE (APMC)'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "AGRICULTURAL PRODUCE MARKETING COMMITTEE (APMC)"

1

Moghe, Pratik, and Dr Jyoti Zirmire. "A STUDY ON ARRIVALS AND PRICES OF MAJOR AGRICULTURAL COMMODITIES AT LARGEST APMC IN VIDARBHA REGION." International Journal of Agriculture and Environmental Research 09, no. 02 (2023): 178–91. http://dx.doi.org/10.51193/ijaer.2023.9207.

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The present Research Article, "A Study on Arrivals and Prices of Major Agricultural Commodities at Largest APMC in Vidarbha Region" therefore, is a small attempt in reviewing the performance of the Regulated market by Analysing the trends in Arrivals and Prices and Marketing Channel of Major Commodities at the micro-level. This study, thus by way of evaluates the performance of market regulation through various dimensions. Chhatrapati Shivaji Market Yard, Hinganghat is on the forefront in business activities and on developmental aspects. The Hinganghat APMC has been ideally outlined on an area of 10.03 ha. The market provides all essential amenities to farmers and trader’s viz., auction platform, shopcum-godown, weighbridge, city bus service terminus. The market has spacious auction platforms, sale halls, parking space. It has built commercial shops. The Hinganghat APMC has 2 sub-markets with all amenities. The APMC is famous for Cotton and Soybean marketing. The main sources of income were market and license fees and the expenditure items were salary and miscellaneous. Market committee follows sale of produce by open auction method only which is prescribed in the Maharashtra Agricultural Produce Marketing (Regulation) Act, 1963. The declining trend was observed in number of market functionaries over the study period. It is noticed that although trend of arrivals of some commodities viz., Cotton, Soybean and Gram was increasing but the prices of all the selected commodities showed the significant increasing trend during the period of 10 years i.e., 2012-13 to 2021-22. Further, it is observed that prices were more dependable upon lagged year prices in case of all commodities.
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Bhutta, Ehsan. "THE NEED FOR TRANSFORMING AGRICULTURE PRODUCE MARKETS: EVIDENCE FROM PUNJAB, PAKISTAN." Pakistan Journal of Agricultural Sciences 56, no. 03 (July 1, 2019): 767–73. http://dx.doi.org/10.21162/pakjas/19.8110.

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The evolution of high-yielding varieties of seeds, increasing use of fertilizers, pesticides, installation of tube-wells and mechanization has increased the agricultural productivity (AP). An efficient agricultural marketing (AM) system increases the growth of agri-business and improves the economic growth. More recently, research has shown that agriculture growth cannot be realized without well- functioning agricultural produce markets (APMs).In Pakistan, however, development of APMs largely remained neglected because of overriding emphasis of public policies on enhancing AP. Consequently, APMs could not be developed adequately and imperfections in the legal structure, management and operations of these markets have limited their performance. A survey was conducted in nine districts of the Punjab province having interviews with staff of market committees (MCs-90), commission-agents (CAs-90), whole-sellers (WS-90) and retailers (RT-90). The results reflect that there is an urgent need for amending legal and institutional mechanism for making APMs efficient. The study will help academia and policy makers to improve efficiency of APMs in the province
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Singh, Lovepreet, and Mini Goyal. "Status of national agriculture market (eNAM) in Punjab." INTERNATIONAL RESEARCH JOURNAL OF AGRICULTURAL ECONOMICS AND STATISTICS 11, no. 2 (September 15, 2020): 118–26. http://dx.doi.org/10.15740/has/irjaes/11.2/118-126.

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National Agriculture Market (eNAM) is a pan-India electronic trading portal which was introduced by the government of India in 585 Agriculture Produce Marketing Committees (APMCs) in 16 states and two Union Territories (UTs) till 31st March 2018. The mission of eNAM is to integrate all the APMCs across the country through common online platform to facilitate farmers so that they can earn high income by selling their produce anywhere in the country. There was slow but definite increase in the adoption of eNAM by the stakeholders in India as well as in Punjab. Still about 12 per cent of total APMCs of Punjab has been integrated with eNAM. Since the implementation of eNAM in Punjab total seven commodities viz., potato, Basmati, maize, kinnow, Moong dal, cotton and green peas are traded through it. So far more than two lakh farmers, nearly 1400 traders and 5000 plus commission agents registered with portal have traded commodities worth Rs. 3686 crore involving 12.61 lakh tone of agriculture produce. The government of Punjab is on the right direction by implementing the policy of “One Nation One Market” for agricultural produce because both the quantity and value of trade is increased during the year 2019-20 as compared to 2018-19. It certainly helps in strengthens the existing system of agriculture marketing.
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Sharan, Girja, and Sandeep Kayastha. "A System Dynamic Study of Apple Movement from Orchards to Wholesale Market." Vikalpa: The Journal for Decision Makers 22, no. 1 (January 1997): 29–36. http://dx.doi.org/10.1177/0256090919970105.

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This paper presents a simulation model of fruit movement from orchards in Himachal Pradesh to the market of Agricultural Produce Market Committee (APMC) in Delhi. Daily arrivals in Delhi as predicted by the model are compared with the data on actual arrivals from records maintained at APMC. The comparisons appear satisfactory. The results suggest that the system dynamic modelling approach is promising and, with some refinement, can provide an analytical support for those engaged in formulation of policies to improve the post-harvest systems of fruit industry.
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Argade, Aashish, Arnab Kumar Laha, and Anand Kumar Jaiswal. "Connecting Smallholders’ Marketplace Decisions to Agricultural Market Reform Policy in India – An Empirical Exploration." Journal of Macromarketing 41, no. 3 (March 3, 2021): 471–83. http://dx.doi.org/10.1177/0276146721997885.

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Governments in developing countries have attempted to reform inefficient agricultural markets through direct interventions, market-oriented approaches, and institutional mechanisms, with one of the aims being improving the lot of smallholder farmers. However, such interventions often fell short of yielding desired results, perhaps because broad macro objectives failed to take into account micro-level processes. This study examines smallholder farmers’ market selection decisions and attempts to establish if these have a bearing on legislative goals of agricultural marketing reforms. Analysis of survey data using binary logistic regression, reveals that farmers choose between two prominent marketplaces – APMC and farm gate – on the basis of factors such as perishability of produce, quality testing infrastructure at the marketplace, and services provided by buyers such as grading and sorting or transportation. Findings are reinforced by an extended part of the study where farmers ranked assumptive marketplace scenarios developed by incorporating different marketplace features. Results demonstrate the possibility of enabling systemic changes in agricultural markets by catering to grassroots decision mechanisms. Implications for policy and relevant players engaged in agricultural markets are discussed.
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Das, Dipankar. "Multilayer of Suppliers Fixed Costs and Spatial Competition in the Upstream Market as a Source of Retailers Buying Power." Studies in Microeconomics 7, no. 2 (April 1, 2019): 210–26. http://dx.doi.org/10.1177/2321022218820439.

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The present study is in the context of the new Model Agricultural Produce Market Committee (APMC) Act 2003, which aims at freedom of farmers to sell their products to the large private firms and bringing reforms in the wholesale ‘cash and carry’ and retail markets in India. The most important suggestions have remarked in the Economic survey 2014–2015 and outlined that state governments should be specially persuaded by the central government to provide policy support for alternative or special markets in the large private sector. Many states, including West Bengal, accepted the proposal and had opened the market for agricultural commodities for the large private sector. In this paper, we study a model of vertical restraints in the case of small farmers in West Bengal, India considering multilayer of fixed costs and monopoly power of the small as well as large traders in the vertical structure. JEL: D8, D43, L13
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Kannan, Elumalai, and Sanjib Pohit. "Agricultural Growth Diagnostics: Identifying the Binding Constraints and Policy Remedies for Bihar, India." Review of Development and Change 26, no. 2 (December 2021): 207–25. http://dx.doi.org/10.1177/09722661211064394.

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Agriculture plays a significant role in economic development of underdeveloped regions. Multiple factors influence the performance of agricultural sector but a few of these have a strong bearing on its growth. This study develops a growth diagnostics framework for agricultural sector in Bihar, located in eastern India, to identify the most binding constraints. The study results show that poor functioning of agricultural markets and low-level of crop diversification are the important reasons for low agricultural growth in Bihar. Rise in price instability of agricultural produces indicates a weak price transmission across the markets even after repealing the Agricultural Produce Market Committee Act. Poor market linkages and non-functioning producer collectives at village-level affect the farmers’ motivation for undertaking crop diversification. Hence, policy suggestions to overcome these binding constraints include the state provisioning of basic market infrastructure to attract private investment in agricultural marketing, strengthening the Farmer Producer Organisations, and framing a comprehensive policy on crop diversification.
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Pardhi, Ravishankar, Rakesh Singh, and Ranjit Kumar Paul. "Price Forecasting of Mango in Varanasi Market of Uttar Pradesh." Current Agriculture Research Journal 6, no. 2 (June 30, 2018): 218–24. http://dx.doi.org/10.12944/carj.6.2.12.

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The study had been made to forecast the price of mango using ARIMA model in one of the major markets of Uttar Pradesh as the state ranks first position in production of mango in India. Varanasi market was selected purposively on the basis of second highest arrival market of mango in the state. Using ARIMA methodology on the monthly prices of mango collected from the Agricultural Produce Market Committee (APMC), Varanasi for the year 1993 to 2015. As the mango fruit having property of alternate bearing, only six month data from March to August was available in the market and accordingly had been used for forecasting analysis using E-views 7 software. The results revealed that the price in selected market was found to be highest during the start of the season using ARIMA (1,0,6) model, confirming the validity of model through Mean Absolute Percentage Error (MAPE). The MAPE was found to be less than 10 per cent for one step ahead forecast of year 2015. Forecasted price for the month of March was almost double than the price of other months. It indicates the necessity of adopting pre and post harvest management technologies for getting the benefit over increase in prices.
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Prasanna Kumar, Niharika. "Modeling the Impact of Covid-19 on the Farm Produce Availability and Pricing in India." Interdisciplinary Journal of Information, Knowledge, and Management 17 (2022): 035–65. http://dx.doi.org/10.28945/4897.

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Aim/Purpose: This paper aims to analyze the availability and pricing of perishable farm produce before and during the lockdown restrictions imposed due to Covid-19. This paper also proposes machine learning and deep learning models to help the farmers decide on an appropriate market to sell their farm produce and get a fair price for their product. Background: Developing countries like India have regulated agricultural markets governed by country-specific protective laws like the Essential Commodities Act and the Agricultural Produce Market Committee (APMC) Act. These regulations restrict the sale of agricultural produce to a predefined set of local markets. Covid-19 pandemic led to a lockdown during the first half of 2020 which resulted in supply disruption and demand-supply mismatch of agricultural commodities at these local markets. These demand-supply dynamics led to disruptions in the pricing of the farm produce leading to a lower price realization for farmers. Hence it is essential to analyze the impact of this disruption on the pricing of farm produce at a granular level. Moreover, the farmers need a tool that guides them with the most suitable market/city/town to sell their farm produce to get a fair price. Methodology: One hundred and fifty thousand samples from the agricultural dataset, released by the Government of India, were used to perform statistical analysis and identify the supply disruptions as well as price disruptions of perishable agricultural produce. In addition, more than seventeen thousand samples were used to implement and train machine learning and deep learning models that can predict and guide the farmers about the appropriate market to sell their farm produce. In essence, the paper uses descriptive analytics to analyze the impact of COVID-19 on agricultural produce pricing. The paper explores the usage of prescriptive analytics to recommend an appropriate market to sell agricultural produce. Contribution: Five machine learning models based on Logistic Regression, K-Nearest Neighbors, Support Vector Machine, Random Forest, and Gradient Boosting, and three deep learning models based on Artificial Neural Networks were implemented. The performance of these models was compared using metrics like Precision, Recall, Accuracy, and F1-Score. Findings: Among the five classification models, the Gradient Boosting classifier was the optimal classifier that achieved precision, recall, accuracy, and F1 score of 99%. Out of the three deep learning models, the Adam optimizer-based deep neural network achieved precision, recall, accuracy, and F1 score of 99%. Recommendations for Practitioners: Gradient boosting technique and Adam-based deep learning model should be the preferred choice for analyzing agricultural pricing-related problems. Recommendation for Researchers: Ensemble learning techniques like Random Forest and Gradient boosting perform better than non-Ensemble classification techniques. Hyperparameter tuning is an essential step in developing these models and it improves the performance of the model. Impact on Society: Statistical analysis of the data revealed the true nature of demand and supply and price disruption. This analysis helps to assess the revenue impact borne by the farmers due to Covid-19. The machine learning and deep learning models help the farmers to get a better price for their crops. Though the da-taset used in this paper is related to India, the outcome of this research work applies to many developing countries that have similar regulated markets. Hence farmers from developing countries across the world can benefit from the outcome of this research work. Future Research: The machine learning and deep learning models were implemented and tested for markets in and around Bangalore. The model can be expanded to cover other markets within India.
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Ashokkumar, K., Gurunath Reddy Bairi, and Sudheer Babu Are. "Agriculture E-Commerce for Increasing Revenue of Farmers Using Cloud and Web Technologies." Journal of Computational and Theoretical Nanoscience 16, no. 8 (August 1, 2019): 3187–91. http://dx.doi.org/10.1166/jctn.2019.8158.

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The main intent of this survey is to develop a agriculture marketing system to assist in the sale and management of production for the farmer. The development of agriculture has been on under development for the few years due to dearth of proper trading system for selling the harvest to the benefit of the farmer, for the Indian farmers it has become at ragedy over the market to get good price for their produce due to the dearth of information and the involvement of broker within the Agricultural turn out Market Committee. The main aim of this paper is to provide online web platform for poultry and agriculture farmers, where they can sell daily produced goods directly from their field location or from home itself without going else where even to the market. The produce that is brought from farmers will be available for customers who can buy vegetables, fruits, eggs, etc. online which will be home delivered to them.
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Dissertations / Theses on the topic "AGRICULTURAL PRODUCE MARKETING COMMITTEE (APMC)"

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ANAND, VIVEK. "GEOSPATIAL ANALYSIS BASED AGRICULTURAL TRADE." Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18882.

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Agriculture has continued to provide a source of income for the majority of India's population, either directly or indirectly. Over time, the structure of Indian agriculture trade has changed significantly but still the methods are very traditional and no advance technologies like Geospatial Data Science or Artificial Intelligence are used for its betterment. India, which is primarily an agricultural economy, is showing signs of progress in agriculture and related businesses. Agriculture has always been regarded as a valuable tool for economic development in India, as many other major sectors of production depend on it. Despite the government's efforts to double the income of the farmers, there is still a difference between a farmer's investment and the return on that investment. The laws governing agriculture markets in India have been archaic for a long time. The government has found reasons to over-regulate the agriculture industry, such as price controls, export bans, and restrictions on private trade. Agriculture's growth has been hindered by excessive regulation and a lack of freedom, making it one of the most uncompetitive sector. The government announced a complete reform of the country's farm markets after recognizing the underlying flaws with their functioning. The government then passed the three Farm Bills on September 20, amidst great controversy in Parliament. This study incorporated the new farms laws passed by the Government of India in September 2020 and developed a traditional mandi type model on an online platform with additional geospatial analysis component to remove the existing constraints in the existing flawed agriculture market which is currently regulated by the states under the Agricultural Produce Marketing Committee (APMC). This study will outline how the usage of geospatial data and location intelligence would prove to be a game changer in the Indian agriculture sector. This study develops a WebGIS application where farmers and buyers will come to execute agricultural trade form any location in the country through an online platform with the help of v geospatial analysis-based information provided to them which they were previously unable to conduct due to the restrictions imposed by APMC regulations and lack of any geospatial analysis-based infrastructure for agricultural trade. In this WebGIS application, the farmers and buyers will be provided with principal geospatial analysis based information like shortest distance between their geolocations, location referenced dynamic map pointing the location of each farmer and buyer, and network analysis based optimal route information via interactive maps along with other necessary features of listing and buying options to let the buyers make a calculated decision while buying the agricultural produce from any part of the country which will in turn enable the farmers to sell their agricultural produce to any part of the country hence, empowering them and subsequently increasing their revenue. Furthermore, the provision for the third-party logistics is also provided where they can register themselves and the users can choose the most suitable third-party logistics agency to handle the agricultural trade's transportation.
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Books on the topic "AGRICULTURAL PRODUCE MARKETING COMMITTEE (APMC)"

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(Pakistan), Punjab. Manual of agricultural produce market committee laws. Lahore: Khyber Laws Publishers, 2000.

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Zimbabwe. Committee of Inquiry into Parastatals. Agricultural Marketing Authority, Cold Storage Commission, Cotton Marketing Board, Dairy Marketing Board, Grain Marketing Board: Report of the Committee of Inquiry into Parastatals. Harare: The Committee, 1988.

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United States agricultural exports: Hearing before the Committee on Agriculture, Nutrition, and Forestry, United States Senate, One Hundred Fifth Congress, first session on United States agricultural exports, June 18, 1997. Washington: U.S. G.P.O., 1998.

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Pakistan. Manual of agricultural produce market committee laws with Punjab, Sindh and Balochistan rules: Amendment and caselaw upto date. Lahore: Manzoor Law Book House, 2003.

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United States. Congress. House. Committee on Agriculture. Subcommittee on Domestic Marketing, Consumer Relations, and Nutrition. Recommendations to improve the Perishable Agricultural Commodities Act: Hearing before the Subcommittee on Domestic Marketing, Consumer Relations, and Nutrition of the Committee on Agriculture, House of Representatives, One Hundred Second Congress, first session, October 3, 1991. Washington: U.S. G.P.O., 1992.

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United States. Congress. Senate. Committee on Agriculture, Nutrition, and Forestry. Subcommittee on Agricultural Research and General Legislation. New uses for farm and forest products: Hearing before the Subcommittee on Agricultural Research and General Legislation of the Committee on Agriculture, Nutrition, and Forestry, United States Senate, One Hundredth Congress, first session ... June 26, 1987. Washington: U.S. G.P.O., 1988.

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Review the structure and policies of the loan deficiency payment program: Hearing before the Committee on Agriculture, House of Representatives, One Hundred Sixth Congress, first session, June 16, 1999. Washington: U.S. G.P.O., 1999.

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United States. Congress. Senate. Committee on Agriculture, Nutrition, and Forestry. To examine the effects of the European Community enlargement on U.S. agricultural exports: Hearing before the Committee on Agriculture, Nutrition, and Forestry, United States Senate, Ninety-ninth Congress, second session, May 6, 1986. Washington: U.S. G.P.O., 1986.

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United States. Congress. Joint Economic Committee. Subcommittee on Monetary and Fiscal Policy. The Canadian agricultural import problem: Hearing before the Subcommittee on Monetary and Fiscal Policy of the Joint Economic Committee, Congress of the United States, Ninety-ninth Congress, second session, July 2, 1986. Washington, [D.C.]: U.S. G.P.O., 1987.

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United States. Congress. Senate. Committee on Finance. Unfulfilled promises: Mexican barriers to U.S. agricultural exports : hearing before the Committee on Finance, United States Senate, One Hundred Eighth Congress, first session, September 23, 2003. Washington: U.S. G.P.O., 2004.

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Book chapters on the topic "AGRICULTURAL PRODUCE MARKETING COMMITTEE (APMC)"

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Shettigar, Jagadish, and Pooja Misra. "Historic Reforms in Agriculture." In Resurgent India, 79–84. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780192866486.003.0014.

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Abstract The Indian Government had brought about sweeping landmark policy changes in the Indian agricultural sector on 5 June 2020. Critics stated that for the Indian industry, the dawn of liberalization happened in 1991, while for the Indian farmer, liberalization had set in with the three farm reform bills which were passed by the Parliament in the third week of September 2020. The Farm Act had endeavoured to bring about transparency in the agricultural sector and make it more efficient by enabling farmers to be able to sell their produce outside the mandis giving them the benefit of ‘my crop, my right’. The chapter analyses thereasons for the Act having been widely proclaimed to be a ‘game- changer’ for the Indian agricultural sector. With deliberations for liberalizing the Indian agricultural sector having been on the cards for quite some years, whether it was the NDA Government or the UPA Government in power, the three reformative Farm Acts had sought to build a scenario of ‘One India, One Agricultural Market’ for the benefit of farmers and sought to break the monopoly of Agriculture Produce Marketing Committees (APMC) by enabling farmers to be able to access markets directly and gain benefits of higher prices for their produce. Unfortunately, the government got the three farm Acts repealed in November 2021 as a section of the farmers could not be convinced about the positive impact on agriculture and farmers— as admitted by none other than the Prime Minister. An expert committee would examine the future course of action.
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M. Hatture, Sanjeevakumar, Pallavi V. Yankati, Rashmi Saini, and Rashmi P. Karchi. "Organic Farming for Sustainable Agriculture Using Water and Soil Nutrients." In New Generation of Organic Fertilizers. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.100319.

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The agricultural community/farmers are struggling to obtain higher rate of yield due to lack of poor knowledge about the soil and water nutrients and suitability of the organic crop for the soil. Most of the farmers use excessive chemical fertilizers in-order to increase productivity of their yield, without aware of side effects. The excess usage of chemical fertilizers by the farmers will have impact on the quality, fertility, and salinity of the soil. To overcome these issues and to promote Digital Agriculture concept we propose an IoT enabled sensor system for monitoring soil nutrient [NPK] and pH of irrigation water to reduce the manual laboratory method of testing and get the results via mobile application and to promote organic farming in the agricultural field. Smart organic farming based mobile application will further process these nutrients value to predict and suggests the suitable crop to grow and the usage of appropriate amount of fertilizer to maintain the soil fertility there by achieving optimum usage of chemical fertilizer because continuous and wrong usage of these chemical fertilizer have a harmful effect not only on soil but also on crops, we consume leading to unhealthy human life. The proposed mobile application also helps in establishing the connection between farmers and Agricultural Produce Market Committee (APMC) in order to avoid fragmentation of profit shares and attain Pricing uncertainty and marketing of the yields by avoiding the middle man. APMC is a state government body which ensures safeguard to the farmers from exploitation by large retailers and suggest the kind of crop to be grown with organic farming. India is well known to produce organic fertilizer which is produced by the waste of slaughterhouses, plant and animal residues, biological products and other natural resources. Thus, the proposed work helps the farmers in adopting stress-free organic farming practice by self-testing their field soil parameters for generating quick soil analysis reports and also helps in connecting with APMC to know the suitable crop for their agriculture land based on the soil and water analysis (SWA) report, dispensing the required amount of organic fertilizer to the soil based on soil and water nutrients analysis using IoT enabled sensor, funding/insurance to the crops in case of occurrence of unpredictable natural disaster in future and direct marketing facility without middle man and maintain sustainable agriculture. In the present era, the industry is at 5.0 levels but agricultural production is still at 2.0 levels. In this chapter a methodology for sustainable agriculture and increase the organic yield of the organic farming using the mobile and IoT technological approaches is presented. A former can obtain the advice and other information for growing the organic crop, organic certification, pricing for the organic yield, selling and other activities by using mobile application in his/her local language. By the proposed work with the ease of mobile application the farmers can perform self-test of their field parameters for generating quick soil and water analysis report, predicts and suggest the suitable organic crop, obtaining the suitable pricing by the APMC and organic certification and agreement to meet the sustainable agriculture. Further the soil fertility of the organic farm can be monitored using IoT enabled sensors which are remotely connected with the mobile application. The experimentation is performed at different agriculture fields with organic farming at six geographical separated villages at Bagalkot district of Karnataka state, India. The different agricultural lands with variety of soil samples is tested to measure the soil parameter such as moisture, temperature, humidity and NPK nutrient values. The pH value of the irrigation water is also determined including borewell, pond, rain, river water etc. available in the reservoirs and promising sustainability in the organic yield is obtained.
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Chadha, Deepali ,. "Digitalization of Agriculture in India: Pathway to Prosperity." In Agribusiness Development Planning and Management. New Delhi Publishers, 2020. http://dx.doi.org/10.30954/ndp.agribusiness.2020.3.

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Digital marketing covers all the marketing strategies that are using the internet or an electronic device. It is a new way of approaching customers. According to a recent survey, India’s digital advertising industry is growing at a rate of 33.5 per cent annually. There is a gradual rise in digitization and modernization taking place in several aspects. Agriculture sector is also identified as one of the potential sectors of digitization due to large volumes traded and a high level of fragmentation present in the supply chain. In India, a significant part of the population is engaged in agriculture. Although different modern techniques and practices have been adopted in agriculture that has undoubtedly helped to improve the production over the years, but there has been a constant challenge to provide a market for the marketed surplus and getting fair prices for the same. Agricultural marketing covers the services involved in moving a farm product to the target consumer. It has undergone numerous changes over the last few years. It has beautifully evolved from barter system to organized marketplaces to today’s electronic market platform owing to several technological changes and government interventions. Institutions such as Agriculture Produce Marketing Committees (APMC), regulated market yards, and minimum support price are instances of state support that have led to a strong primary sector. Further, development of technological and financial innovations has changed the commodity transaction pattern of the stakeholders. Digitization of transactions helps in trading large volumes and also enhances transparency and associated benefits. Different initiatives have been taken by the Indian Government to digitize the agriculture sector to help the farming community such as launching of Digital India Campaign and various mobile applications that help in increasing agriculture productivity
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