Enhancing Agricultural Resilience in Sangli District: Leveraging Machine Learning for Soil-based Yield Forecasting and Strategy Development
Author:
Affiliation:
1. Bharati Vidyapeeth (Deemed to be University) Institute of Management,Kolhapur,India
2. School of Leadership and Management Manav Rachna Educational Institutions, MRIIRS,Faridabad,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10498128/10498148/10499074.pdf?arnumber=10499074
Reference21 articles.
1. Energy nexus for grapes production: A case study of Sangli region in India
2. Crop Yield Prediction by Integrating Meteorological and Pesticides Use Data with Machine Learning Methods: An Application for Major Crops in Turkey;Burhan;Journal of Research in Economics, Politics & Finance,2022
3. Growth of Grapevine Cultivation In Sangli District;Gade;Indian Streams Research Journal,2020
4. Economic Analysis of Grape Production in Sangli District of Maharashtra;Mhetre;International Journal of Current Microbiology and Applied Sciences
5. Crop Prediction Model Using Machine Learning Algorithms
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