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Journal articles on the topic 'AGMARKNET'

Author: Grafiati

Published: 11 September 2023

Last updated: 31 July 2025

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1

Suri, P. K., and Sushil. "E-Governance through Collaborations - A Case of NICNET based Agricultural Marketing Information Network (AGMARKNET)." Management Dynamics 7, no. 1 (2022): 33–44. http://dx.doi.org/10.57198/2583-4932.1198.

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2

A., Praveenkumar, Manoj Varma, Srinatha T. N., et al. "From Traditional to Advanced Models: A Comparative Study between Time Series and Machine Leaning Models in Agriculture." Journal of Scientific Research and Reports 30, no. 9 (2024): 314–25. http://dx.doi.org/10.9734/jsrr/2024/v30i92356.

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The agricultural sector plays a crucial role in the global economy, with edible oil crops like groundnut being vital commodities. Accurate price forecasting is essential for stakeholders, including farmers, traders, and policymakers. The primary aim of this study is to evaluate and compare the effectiveness of traditional time series models (such as ARIMA) and advanced deep learning models (such as RNN, GRU, and LSTM) in forecasting the monthly wholesale prices of groundnut. The analysis covers data from January 2014 to December 2023, collected from Agmarknet. Our results reveal that deep lear

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3

Kumar, Midathana Anil, Arunava Ghosh, Vinay H T, Parthendu Poddar, and Md Wasim Reza. "Forecasting Green Chilli Prices: Using Data Analytics to Gain Market Understanding." Journal of Scientific Research and Reports 30, no. 10 (2024): 671–79. http://dx.doi.org/10.9734/jsrr/2024/v30i102492.

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Green chilli is a commercially significant vegetable crop grown year-round due to its high demand for both nutritional and health benefits. India stands as the largest producer and consumer of chilli globally, with West Bengal leading in area under cultivation and ranking sixth in production. This study aims to compare and identify the most accurate model for forecasting green chilli prices in the Haldibari market of Cooch Behar district, West Bengal. Price data from January 2015 to May 2024, sourced from AGMARKNET, was used for model development, with 85% of the data allocated for training an

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4

RAGINI NAIKOTI, SATYVEER SINGH MEENA AND VIKASH*. "MARKET INTEGRATION OF SWEET LIME BETWEEN DOMESTIC AND INTERNATIONAL MARKETS." Journal of Research ANGRAU 51, no. 3 (2023): 134–39. http://dx.doi.org/10.58537/jorangrau.2023.51.3.15.

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The study focused on the integration of domestic and international markets for sweet limes during 2021. The co-integration of commodity prices was considered to be necessary for the implementation of a successful marketing reform for which both domestic and international market prices are required. Due to the lack of information regarding international prices, export price information was gathered from thewebsite of the Agricultural and Processed Food Products Export Development Authority (APEDA), and secondary data regarding domestic prices of sweet lime was gathered from the website of the A

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Kiran, Gadhe, A. S. Shaikh, and Mohit Kumar. "Seasonal Patterns in Cumin Arrivals and Prices in Indian Markets: A Post-COVID 19 Analysis." Asian Journal of Agricultural Extension, Economics & Sociology 42, no. 5 (2024): 283–89. http://dx.doi.org/10.9734/ajaees/2024/v42i52438.

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Cumin known as jeera in India, holds significant economic and cultural importance in the country's spice industry. My research paper explores the seasonal dynamics of cumin arrivals and prices in selected Indian markets, considering the profound impact of the COVID-19 pandemic. Utilizing data from the Agmarknet portal spanning from January, 2006 to December, 2021, this study employs rigorous statistical techniques to analyze the patterns. The study reveals distinctive characteristics in cumin arrivals and prices across different markets. Notably, markets like Unjha, Jamnagar, Gondal, Merta Cit

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Prakash, P., D. Jaganathan, Sheela Immanuel, Achal Lama, J. Sreekumar, and P. S. Sivakumar. "Forecasting of Sweet Potato (Ipomoea batatas L.) Prices in India." Indian Journal of Extension Education 58, no. 2 (2022): 15–20. http://dx.doi.org/10.48165/ijee.2022.58203.

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Due to the semi-perishable nature of sweet potato the price fluctuation occur based on demand and supply. Hence, it becomes necessary to precisely forecast market price of sweet potato. Price forecasting of sweet potato was carried out for six selected states in India using time series monthly market price, collected from AGMARKNET price portal from January 2010 to December 2021. Exponential Smoothing Models (ESM), Seasonal Autoregressive Integrated Moving Average (SARIMA) model and Time Delay Neural Network (TDNN) model were used for forecasting of sweet potato price. It was observed that amo

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7

Chavan, Sanket D., Virendra Singh, Shyam Mani Tripathi, and Katta Sravan Naga Parimala Kumar. "Analysis of Spatio-Temporal Behaviour of Arrivals and Prices in Major Onion Markets of India." International Journal of Environment and Climate Change 13, no. 10 (2023): 822–33. http://dx.doi.org/10.9734/ijecc/2023/v13i102722.

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The present study was an attempt to examine the behaviour of arrivals and prices of onion in major markets of India over the period from 2008 to 2022. The entire investigation relies on data obtained from secondary sources. Data on monthly wholesale prices and arrivals of selected markets was gathered from Agmarknet, Directorate of Marketing & Inspection, Government of India. Six markets were selected purposively, of which one each market was from four top onion producing states (Lasalgaon, Bangalore, Indore and Ahmadabad) and two were from top consuming cities (Mumbai and Delhi). Various

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8

Kumar, K. Sathees, T. Ilakiya, and T. Gowthaman. "Price instability, seasonal index and modelling for major vegetables in India." Journal of Applied Horticulture 25, no. 02 (2023): 219–23. http://dx.doi.org/10.37855/jah.2023.v25i02.39.

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Vegetable production plays a pivotal role in the horticulture industry, yet the availability of vegetable crops remains unpredictable. Seasonal volatility contributes to unclear supply, resulting in price fluctuations. This study aimed to assess the seasonal indices and price instability of key vegetables in India using the Cuddy-Della Instability Index and the Ratio to Moving Average approach. Monthly price series spanning January 2010 to December 2021 were collected from the AGMARKNET website. Seasonality in the price series was examined using the Kruskal-Wallis test. The results indicated t

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9

Vedika Sanjay Sardeshmukh, Sneha Babaso Patil, and Prof. Sanmati Bedage. "An AI-Driven Smart Crop Recommendation and Advisory Framework." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 07 (2025): 3209–18. https://doi.org/10.47392/irjaeh.2025.0472.

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In the face of escalating climate variability, market uncertainties, and resource constraints, farmers increasingly require intelligent decision-support systems to sustain agricultural productivity. This study presents an AI-driven smart crop recommendation and advisory framework that integrates supervised machine learning algorithms with natural language processing to support sustainable agriculture in diverse agro-climatic regions of India. The system utilizes a curated dataset comprising soil nutrient values (N, P, K), pH, rainfall, and temperature, combined with crop price data from Agmark

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10

PAUL, RANJIT KUMAR, DIPANKAR MITRA, HIMADRI SHEKHAR ROY, A. K. PAUL, and M. D. YEASIN. "Forecasting price of Indian mustard (Brassica juncea) using long memory time series model incorporating exogenous variable." Indian Journal of Agricultural Sciences 92, no. 7 (2022): 825–30. http://dx.doi.org/10.56093/ijas.v92i7.103633.

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The objective of present study was to investigate the efficiency of Autoregressive fractionally integrated movingaverage model with exogenous input (ARFIMAX) in forecasting price of Indian mustard [Brassica juncea (L.) Czern.& Coss]. The daily modal price and arrival data of mustard for two major markets of India, viz. Bharatpur and Agrawere collected during 2008–2018 from AGMARKNET and used for the present investigation. It was observed thateach of the price series under consideration is stationary but autocorrelation function of both the series decay in ahyperbolic pattern. This indicate

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11

Pal, Govind, P. M. Singh, Shubhadeep Roy, Neeraj Singh, Anant Bahadur, and T. K. Behera. "A study on assessing area, production and impact of vegetable varieties from ICAR-Indian Institute of Vegetable Research, Varanasi, Uttar Pradesh, India." Vegetable Science 50, no. 02 (2023): 330–37. http://dx.doi.org/10.61180/vegsci.2023.v50.i2.10.

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The ICAR-Indian Institute of Vegetable Research, Varanasi has released a number of varieties and hybrids that have been widely adopted and cultivated by large number of farmers throughout the country. Therefore, the present study was taken up with the objectives to estimate the area covered by the Institute varieties and assess the production and economic impact due to the adoption and spread of ICAR-IIVR varieties in the country. The area covered by ICAR- IIVR varieties in the country during 2021-22 was estimated based on the number of quality seeds provided to the farmers and different gover

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12

KUMAR, AJAY, VINAY KUMAR, CHETNA, et al. "Forecasting cotton (Gossypium spp.) prices in major Haryana markets: A time series and ARIMA approach." Indian Journal of Agricultural Sciences 94, no. 9 (2024): 1013–18. http://dx.doi.org/10.56093/ijas.v94i9.150524.

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Economic outputs are an attractive prospect in any field and hence agriculture also relies heavily on economic stability. The costs associated with cotton farming are increasing and profitability is taking a hit in cotton cultivation. Timely and accurate forecast of the price helps the farmers switch between the alternative nearby markets to sale their produce and getting good prices. Present study was carried out during 2022 to 2023 in Haryana to provide some insights into the possible future prices of cotton (Gossypium spp.) with the help of data collected from AGMARKNET and various major co

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13

D., Dinesh, Parimalarangan R., Shivakumar K. M., Rohini A., Kalpana M., and Prahadeeswaran M. "Original Research Article Analyzing Price Behaviour and Constraints in Marketing of Small Onion in Tamil Nadu, India." Journal of Experimental Agriculture International 46, no. 9 (2024): 97–104. http://dx.doi.org/10.9734/jeai/2024/v46i92808.

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This study examines market trends and seasonal patterns in small onion Markets in Tamil Nadu, while also investigating challenges faced by various stakeholders in the onion supply chain. The various analyses have made use of secondary data that has been gathered from different sources. The NHRDF office in Coimbatore, NHB website and AGMARKNET website are the sources of the monthly data on wholesale market prices and arrivals of small onions f markets of Dindigul, Chennai, Coimbatore and Idukki from 2014 to 2023. Primary data also obtained to fulfill the one of the research objectives by survey

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14

Abinaya, R., R. Salvadi Easwaran, K. M. Shivakumar, M. Prahadeeswaran, and N. Raja. "Spatial Market Integration of Major Copra Markets in India." Asian Journal of Agricultural Extension, Economics & Sociology 41, no. 9 (2023): 568–74. http://dx.doi.org/10.9734/ajaees/2023/v41i92078.

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Aim: The main aim of the study is to estimate the degree of market integration among the selected major Copra markets in India. Place and Duration of Study: The study was carried out using the secondary data of average monthly prices of copra obtained from the AGMARKNET website from the period of 2014-2021 for Tamil Nadu and Karnataka. Copra price series data of Tamil Nadu (Anaimalai, Avalpoondurai, and Vellakoil markets) and Karnataka (Tiptur market) has been utilized for the study. Methodology: The time-series econometric tools including the Augmented Dickey-Fuller (ADF) test, Jo

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15

S, Akshatha, M. N. Venkataramana, and Nandini H. M. "Growth and Export Performance of Pineapple from India: An Economic Analysis." Journal of Scientific Research and Reports 30, no. 6 (2024): 235–44. http://dx.doi.org/10.9734/jsrr/2024/v30i62037.

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The present study was undertaken to know the growth and export performance of pineapple. Pineapple (Ananas Comosus) is a tropical fruit belonging to the Bromeliaceae family, and it is commercially cultivated worldwide as a high-value crop. India is the sixth largest producer in the world. The objective of the study was to elucidate the growth and export performance of the Pineapple from India.The secondary data for analysis was collected from AGMARKNET, National Horticultural Board (NHB) and Agricultural and Processed Food products Export Development (APEDA). The results of the growth rate rev

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16

Parmar, H. B., Upasana D. Bhopala, and M. G. Dhandhalya. "Analyzing the Seasonal Variations and Price Trends in Major Onion Markets of India." Asian Journal of Agricultural Extension, Economics & Sociology 42, no. 1 (2024): 24–33. http://dx.doi.org/10.9734/ajaees/2024/v42i12343.

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The study was conducted about to analyse the onion price trend, seasonality and correlation in major markets of larger onion producing states of India with a study period of twenty years for onion crops (2001 to 2020). These data were collected from various portals such as APEDA, Agmarknet, and NHB. The data collected were subjected to statistical analysis using different methods. Twenty years data was used to analyze the seasonal and irregular fluctuations in onion prices, the variability of onion prices in major states in India and to measure trend and estimate rates of change in onion price

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17

Aditi, M. Joshi, and G. Patel Sanjay. "Stacked Ensembles: Boosting Model Performance to New Heights Based on Regression for Forecasting Future Wheat Commodities Prices in Gujarat." Indian Journal of Science and Technology 15, no. 42 (2022): 2194–203. https://doi.org/10.17485/IJST/v15i42.1623.

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Abstract <strong>Objectives:</strong> The goal of this study is to develop an estimation method that will improve absolute and proportionate price predictions, helping farmers in their long-term efforts to boost output and profit.<strong> Methods:</strong> For the experimentation, Dataset is made up of wheat commodities price of different mandi’s of Gujarat region which is collected from agmarknet website, run by Indian government and weather variables which are obtained from weather API (world weather online website) based on commodities region such as Max-Min Temp, Press

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18

Akhter, Afroza, Ambreen Nabi, Sumati Narayan, et al. "Digital Technology: A Game Changer in Vegetable Cultivation." Annual Research & Review in Biology 39, no. 2 (2024): 30–52. http://dx.doi.org/10.9734/arrb/2024/v39i230631.

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Vegetables are important constituents of Indian agriculture and nutritional security due to their short duration, high yielding capacity, nutritional richness, economic viability and ability to generate on farm and off farm employment. Increasing per capita income, health consciousness, urbanisation, increasing working women, shifting of farmers to high value vegetables are also important ingredients for fuelling vegetable growth in India. But we are still not getting the required /capita vegetables/day.so the answer to increasing the production of various vegetables employing various digital

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19

Vijayachandra, Reddy.S* 1. and Pavithra.B.S.2. "AGRICULTURAL MARKETING REFORMS IN INDIA: INTERVENTION OF MODEL APMC ACT-2003." MULTILOGIC IN SCIENCE XIII, no. XXXXVI (2023): 643–47. https://doi.org/10.5281/zenodo.7789326.

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Organized marketing of agricultural commodities is being promoted in the country through a network of regulated markets. Most of the States and Union Territories have enacted legislations (the Agriculture Produce Marketing Committee [APMC] Act) to provide for regulation of agricultural produce markets. Seventeen States/ UTs have amended their APMC Acts and the remaining are in the process of doing so. There are 7157 regulated markets in the country as on 31March 2010. The country has 21,221 rural periodical markets, about 15 per cent of which function under the ambit of regulation. The advent

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20

Mamatha, Narayanaswamy, K. M. Shivakumar, A. Vidhyavathi, and D. Murugananthi. "Assessment of Level of Market Integration in Indian Cotton Markets." Asian Journal of Agricultural Extension, Economics & Sociology, July 28, 2022, 534–39. http://dx.doi.org/10.9734/ajaees/2022/v40i1031109.

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The current study is aimed at using co-integration in assessing the level of market integration among selected cotton markets in India. Monthly cotton price data were collected for the period 2008-09 and 2016-17 from the AGMARKNET website. The advanced time series econometric tools like Augmented Dickey-Fuller (ADF) test, Johansen co-integration test and Granger Causality test were used to study market integration using E-Views software. The price series for cotton in selected markets were subjected to the consequences of unit root and were stationary at first difference. The long-run equilibr

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21

Sindhuja, Sambu. "MSP Effect on Price and Arrivals of Major Crops of Madhya Pradesh." Economic Affairs 69, no. 1 (2024). http://dx.doi.org/10.46852/0424-2513.2.2024.10.

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"To study the effect of MSP on price and arrivals, Madhya Pradesh was purposively chosen with its major crops, paddy, wheat, soybean, bengal gram, and black gram. With the help of data collected from Agmarknet portal for period 2010-2020 study was carried out. The data was analysed by calculating Weighted averages, Percentages along with Linear trend analysis, Tabular analysis, Correlation analysis, and Seemingly Unrelated Regression. The study found that MSP for selected crops had growth rates ranging from 4.5 to 8.2 percent per annum. Share of arrivals sold below MSP ranged from 15 to 68 per

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22

"Seasonality Analysis of Onion with Special Reference to Wholesale Markets of Gujarat." Indian Journal of Economics and Development, March 17, 2023, 188–94. http://dx.doi.org/10.35716/ijed/22103.

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The study was conducted about the wholesale markets of Gujarat state with a study period of seventeen years for onion crops (January 2004 to December 2020). These data were collected from various portals such as NHRDF, Agmarknet, and NHB. The data collected were subjected to statistical analysis using different software such as R and E-views. Twelve monthly moving average was used to analyze the seasonal behaviour in arrivals and prices of onions. Seasonal indices of onion explained onion arrivals were higher in the first half of the year but relatively declined during the second half of the y

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23

"Impact of Pandemic Covid-19 on Vegetable Marketing in Punjab: An Analysis of Prices and Arrivals." Indian Journal of Economics and Development, June 12, 2021, 331–38. http://dx.doi.org/10.35716/ijed/20215.

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Covid-19 has had a very massive impact on the lives of the people and the economy. This study attempted to look at the vegetable markets in Punjab for 14 weeks, from the first week of March to the second week of June . The data were 2020 collected for four main vegetables of the Rabi crop, namely capsicum, bottle gourd, brinjal, and potato, for which the data was taken from the agmarknet website. A total of 115 mandis were covered, and the data for arrivals and prices were taken for this period. The results showed that leaving bottle gourd, the output for all the other three crops went down. I

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24

THAKUR, AMIT, POULAMI RAY, KAMLESH KUMAR ACHARYA, et al. "Price dynamics in Indian wholesale wheat markets: Insights and implications." Indian Journal of Agricultural Sciences 91, no. 8 (2021). http://dx.doi.org/10.56093/ijas.v91i8.115880.

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Wheat is an integral part of food as well as nutrition security holding a significant share in the consumption basket. Hence, any extreme deviations in the staple food price will affect the prospects of the economy. In the context, we analysed the price dynamics and price volatility in Indian wholesale wheat markets using compound annual growth rate, instability indices, and Generalised Autoregressive Conditional Heteroscedasticity (GARCH) model. The study sourced monthly data (July 2002 to June 2019) from the AGMARKNET portal for 15 states. Research findings indicated that the wholesale price

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25

Kumar, Mohit, A. S. Shaikh, and Rohit Kumar Sharma. "Market Integration and Price Transmission Analysis of Onion in Wholesale Markets of India." Asian Journal of Agricultural Extension, Economics & Sociology, December 20, 2022, 164–71. http://dx.doi.org/10.9734/ajaees/2022/v40i121778.

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The present study was done in seven major onion wholesale markets in India, namely Pimpalgaon, Lasalgaon, Solapur, Pune, Bangalore, Hyderabad and Indore to explore the interdependence of wholesale prices amongst Indian onion markets. The study was conducted in all India perspective and the study period involves the seventeen years data of onion wholesale prices (January 2004 to December 2020). The study was majorly based on the prices of onion obtained through secondary source. These data were collected from various portals such as FAO, NHRDF, Agmarknet and NHB. The current study employs co-in

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26

Horo, Aniketa. "Market Integration and Price Transmission amongst the Major Wholesale and Retail Markets of Lentil (Lens culinaris / Lens esculenta) in India." Agricultural Science Digest - A Research Journal, Of (September 21, 2020). http://dx.doi.org/10.18805/ag.d-5180.

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Background: India has become self-sufficient for cereal production but is still dependent upon pulse imports for fulfilling its domestic demands. These imports are very much capable of influencing the domestic prices, so the present study was undertaken to study the integration and price transmission amongst the major lentil producing states of India i.e. Madhya Pradesh, Uttar Pradesh, West Bengal, Bihar, Rajasthan and Assam. Methods: Out of these six states, altogether ten markets and all India average values were undertaken for the present study based on the quantum of lentil marketed and av

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27

Suthar, Bhoomibahen Rajendrakumar, Hiral Gundaniya, Rahul Bellagi, Upasana D. Bhopala, and Para Nath Jhariya. "Behaviour of Market Arrivals and Prices of Wheat in Selected Markets of Uttar Pradesh." Agricultural Science Digest - A Research Journal, Of (May 15, 2025). https://doi.org/10.18805/ag.d-6147.

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Background:Wheat is essential for both food and nutrition security, comprising a significant portion of the consumption basket. Therefore, any significant fluctuations in the price of this staple food can impact the overall economic outlook. The study examined the wholesale markets of Uttar Pradesh over a sixteen-year period, focusing on wheat crops from January 2008 to December 2023. Methods: Monthly wheat arrivals and model price was collected from Agmarknet. A twelve-month moving average was utilized to examine the seasonal patterns in wheat arrivals and prices. Result: Wheat arrived in the

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28

K. M., Mahesh, P. S. Aithal, and Sharma K. R. S. "Impact of Digital Financial Inclusion (DFI) Initiatives on the Self-Help Group: For Sustainable Development." International Journal of Management, Technology, and Social Sciences, October 16, 2023, 20–39. http://dx.doi.org/10.47992/ijmts.2581.6012.0309.

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Purpose: India has been the advocate the digital infrastructure addressing last-mile connectivity through financial inclusion by integrating innovative financial technology(fintech)and Digital Ecosystem for making financial services more accessible to a large number of people, at present India’s fin tech adoption rate is 87% in the world, Digital ecosystem will account for 30% of global revenues by 2025 as per McKinsey and Digital Financial Services(DFS) is a tool to boost the inclusive growth and access to the finance for solving societal issues and economic growth by adaption of SHG, JLG and

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"Impact of Covid-19 on Major Vegetable Markets of Gujarat." Indian Journal of Economics and Development, December 14, 2020, 648–55. http://dx.doi.org/10.35716/ijed/20158.

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The Covid-19 pandemic had affected the country in all aspects. Agriculture is considered as a backbone of the Indian economy. The agriculture and allied sector are also affected in various ways during the Covid-19 pandemic. The country called out lockdown due to a pandemic situation, and it affected the supply chain of agricultural produce on a larger scale. The potato, onion and tomato are the important vegetables of food dishes in India. The present study focused on these three vegetables for the four major vegetable markets of Gujarat, namely Ahmedabad, Surat, Baroda and Rajkot. The data on

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