paper-with-me

Papers

Farmer.Chat: Scaling AI-Powered Agricultural Services for Smallholder Farmers

2024-09-13 · Namita Singh, Jacqueline Wang'ombe, Nereah Okanga, Tetyana Zelenska, Jona Repishti, Jayasankar G K, Sanjeev Mishra, Rajsekar Manokaran, Vineet Singh, Mohammed Irfan Rafiq, Rikin Gandhi, Akshay Nambi

Small and medium-sized agricultural holders face challenges like limited access to localized, timely information, impacting productivity and sustainability. Traditional extension services, which rely on in-person agents, struggle with scalability and timely delivery, especially in remote areas. We introduce FarmerChat, a generative AI-powered chatbot designed to address these issues. Leveraging Generative AI, FarmerChat offers personalized, reliable, and contextually relevant advice, overcoming limitations of previous chatbots in deterministic dialogue flows, language support, and unstructured data processing. Deployed in four countries, FarmerChat has engaged over 15,000 farmers and answered over 300,000 queries. This paper highlights how FarmerChat's innovative use of GenAI enhances agricultural service scalability and effectiveness. Our evaluation, combining quantitative analysis and qualitative insights, highlights FarmerChat's effectiveness in improving farming practices, enhancing trust, response quality, and user engagement.

📄 PDF Abstract BibTeX arXiv:2409.08916

Code (0)

등록된 구현이 없습니다.

Tasks

Chatbot

Methods 이 논문이 사용한 방법론

Golden Queue Managers 설명 없음

Similar Papers 제목 키워드 기반

Farmer-Bot: An Interactive Bot for Farmers

2022-04-07 · Narayana Darapaneni, Rajiv Tiwari, Anwesh Reddy Paduri, Suman Saurav 외

The Indian Agricultural sector generates huge employment accounting for over 54% of countrys workforce. Its overall stand in GDP is close to 14%. However, this sector has been plagued by knowledge and infrastructure defi…

Semantic SimilaritySemantic Textual Similarity

Intent Aware Context Retrieval for Multi-Turn Agricultural Question Answering

2025-07-28 · Abhay Vijayvargia, Ajay Nagpal, Kundeshwar Pundalik, Atharva Savarkar 외 arxiv

Indian farmers often lack timely, accessible, and language-friendly agricultural advice, especially in rural areas with low literacy. To address this gap in accessibility, this paper presents a novel AI-powered agricultu…

Question Answering

KrishokChat: A Citation-Grounded Dataset and Benchmark for Bengali Agricultural Advisory

2026-06-28 · Khan Raiyan Ibne Reza, Omar Ibne Shahid arxiv

We present KrishokChat, the first citation-grounded Bengali agricultural instruction-tuning dataset for crop advisory in low-resource settings. We establish a foundation of 290 hierarchical Knowledge Nodes, extracting di…

Agribot: agriculture-specific question answer system

2025-09-25 · Naman Jain, Pranjali Jain, Pratik Kayal, Jayakrishna Sahit 외 arxiv

India is an agro-based economy and proper information about agricultural practices is the key to optimal agricultural growth and output. In order to answer the queries of the farmer, we have build an agricultural chatbot…

Fine-Tuning and Evaluating Conversational AI for Agricultural Advisory

2026-02-06 · Sanyam Singh, Naga Ganesh, Vineet Singh, Lakshmi Pedapudi 외 arxiv

Large Language Models show promise for agricultural advisory, yet vanilla models exhibit unsupported recommendations, generic advice lacking specific, actionable detail, and communication styles misaligned with smallhold…

Fact Verification