A Data-Driven, Farmer-Oriented Agricultural Crop Recommendation Engine (ACRE)

Author:

Patel Rohit,Enaganti Inavamsi,Bhardwaj Mayank Ratan,Narahari Y.

Publisher

Springer Nature Switzerland

Reference28 articles.

1. Awad, M.M.: Toward precision in crop yield estimation using remote sensing and optimization techniques. Agriculture 9(3), 54 (2019)

2. Ministry of Agriculture Directorate of Marketing & Inspection (DMI) and Government of India Farmers Welfare. Agmarknet. https://agmarknet.gov.in/

3. Fan, J., Bai, J., Li, Z., Ortiz-Bobea, A., Gomes, C.P.: A GNN-RNN approach for harnessing geospatial and temporal information: application to crop yield prediction. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, pp. 11873–11881 (2022)

4. European Centre for Medium-Range Weather Forecasts. The climate data store. https://climate.copernicus.eu/climate-data-store

5. India Brand Equity Foundation. Agriculture in india: Information about Indian agriculture & its importance. https://www.ibef.org/industry/agriculture-india.aspx

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