Article

Predicting Crop Disease Outbreak Based on Unstructured Farmer Complaint Text Using Nlp and Weak Supervision

2026-02-04

Abstract excerpt

<title>Abstract</title> <p>Crop disease reporting systems in many agricultural regions rely heavily on manual inspection[1] and expert interpretation[2] leading to delays and limited scalability. To address this challenge, this paper introduces Agri-TextPredict, a lightweight text-based framework that analyzes unstructured farmer complaint narratives to automatically predict crop disease categories and urgency le...

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Literature Corpus work: fcd789f2-52f2-56e2-85ff-875ff2cbd11f
DOI: 10.21203/rs.3.rs-8581964/v1

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