Salvato in:
| Autori principali: | , , |
|---|---|
| Natura: | Recurso digital |
| Lingua: | |
| Pubblicazione: |
Zenodo
2025
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| Accesso online: | https://doi.org/10.5281/zenodo.17911570 |
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Sommario:
- <p>India’s agriculture sector remains vital, contributing roughly 18–20% of GDP<br>ibef.org and employing nearly half of the nation’s workforce niti.gov.in , continues to face<br>inefficiencies due to fragmented supply chains, limited digital access in the rural area<br>because of technical and architectural complexity of the web application, and restricted<br>market reach for smallholder farmers. BharatKrishi introduces an AI-powered digital<br>agriculture platform designed to connect farmers directly with verified buyers, offering<br>intelligent advisory features and enhancing price transparency. The platform utilizes the<br>MERN stack combined with a GPT-based conversational assistant and machine learning<br>models for crop recommendation, weather analysis, disease detection and overall farming<br>related queries. Key features like multilingual voice input, image-based crop tagging, and<br>secure transaction verification aim to increase farmer income, reduce dependency on<br>middlemen, and accelerate digital adoption in rural India. This system aligns with India’s<br>national Digital Agriculture Mission (2021–2025) and presents a scalable, inclusive<br>framework for modernizing agricultural ecosystems.</p>