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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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Published Paper Details:
Optimizing Agricultural Operations through a Unified Data Platform: A Machine Learning-Driven Approach for Sustainable Resource Management and Market Dynamics Analysis
Authors
Mr. Atharva Patil,Mr. Shreyas Desai,Mr. Padmanabh Dashrath,Mr. Shreyas Tembhare,Dr. Prof. Chandrashekar Ghuge
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Keywords
Integrated agriculture platform, Data-driven agriculture, Machine learning in agriculture, Agricultural supply chain optimization, Food waste reduction, Sustainable farming practices, Eco-friendly agriculture, Crop yield forecasting, Resource allocation efficiency. Real-time agricultural information
Abstract
This research presents a groundbreaking agricultural effort that seeks to transform the sector using an integrated platform driven by data. The platform creates a strong base by including vital statistics from government ministries to tackle significant issues related to ineffective distribution of resources, wastage of food, and the need for up-to-date information. The main focus is utilizing machine learning models to forecast various agricultural products' demand and supply levels accurately. Essentially, the platform prioritizes farmers and promotes their involvement by offering tailored information and live data displays and enabling direct communication with vendors. Presenting data, past patterns, and future predictions visually enables stakeholders to make timely and well-informed decisions. "To tackle the problem of food waste" To tackle the problem of food waste," the platform guides farmers on locating storage facilities nearby. This helps maintain the products' quality and prolong their shelf life. An optimized cultivation cycle tool enables farmers to diversify their crop selection and broaden their market reach, providing valuable insights into potential export opportunities. This encourages farmers to consider selling their products in international markets rather than solely relying on
domestic sales. Timely weather forecasts and notifications empower farmers to use proactive strategies, enhancing crop management's efficacy. The platform offers significant market information to farmers, enabling them to make well-informed decisions by providing multilingual accessibility and cloud-based machine-learning models for crop planning, production scheduling, and data analysis. Crucially, the platform serves as a strategic resource for governments, aiding in projecting crop requirements, managing surpluses during crises, and building a more sustainable and resilient agricultural industry. To summarize, this comprehensive agricultural platform offers a comprehensive and revolutionary method for modernizing agriculture, with the potential for increased efficiency, improved livelihoods, and the adoption of sustainable farming techniques.
IJCRT's Publication Details
Unique Identification Number - IJCRT2404569
Paper ID - 249645
Author type - Indian Author
Page Number(s) - e914-e917
Pubished in - Volume 12 | Issue 4 | April 2024
DOI (Digital Object Identifier) -
No Of Downloads - 63
Author Country - India, 411038, Pune, Pune, 411038, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
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Mr. Atharva Patil,Mr. Shreyas Desai,Mr. Padmanabh Dashrath,Mr. Shreyas Tembhare,Dr. Prof. Chandrashekar Ghuge, "Optimizing Agricultural Operations through a Unified Data Platform: A Machine Learning-Driven Approach for Sustainable Resource Management and Market Dynamics Analysis", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 4, pp.e914-e917, April 2024, Available at :http://www.ijcrt.org/papers/IJCRT2404569.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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