AI-Powered Smart Farming Advisor for Precision Agriculture & Sustainable Crop Management

Abstract

Agricultural productivity is critical for both global food security and economic stability. However, traditional farming techniques often restrict both yield and long-term sustainability. We introduce Smart AgroAssist, an intelligent decision support tool that unifies crop suggestions, disease identification, and agricultural information delivery. This platform utilizes machine learning and computer vision to process soil, climate, and plant health data for optimum crop selection and disease diagnosis via leaf imagery. It also features an NLP-powered module to provide farmers with the latest government schemes and farm-related news. Our findings confirm enhanced disease detection accuracy and better yield forecasts, which promotes smart and environmentally responsible agriculture.

Plant phenotyping relevance

葉画像による植物病害診断を中核機能として実装・評価した意思決定支援ツールであり、植物の病害状態を画像から推定するフェノタイピング要素が明示されている。

Code and data availability

The paper describes a Smart AgroAssist system (crop recommendation, CNN disease detection) but provides no public dataset, image, code, model, or supplement of its own. The PlantVillage dataset is cited prior work, not a paper-specific asset, and no availability statements or URLs are given.

No evidence-backed public reproduction asset is currently recorded.