AgriConnect: A Unified Smart Agriculture Model for Crop Trading, Seed Exchange, and Animal Intrusion Detection using IoT and AI

Abstract

Abstract: Agricultural productivity is frequently hindered by delayed identification of plant diseases, crop damage caused by animal intrusion, and restricted access to transparent market channels. To address these concerns, AgriConnect is proposed as an integrated smart farming platform that combines Artificial Intelligence (AI), Internet of Things (IoT), and cloud technologies within a unified agricultural ecosystem. The platform consists of four primary modules: AI- driven plant disease identification,Raspberry Pi– based animal intrusion monitoring, farmer-to-farmer seed exchange, and a digital crop marketplace that supports direct transactions between farmers and customers. The intrusion monitoring subsystem uses Raspberry Pi, camera modules, and LDR sensors to detect movement in farm boundaries, including low- light environments, and activates buzzer and LED alerts. For disease diagnosis, a MobileNet-TFLite model performs efficient on-device classification of crop leaf images.Firebase Cloud is used for secure data storage, synchronization, and real-time notification delivery. Experimental deployment indicates that AgriConnect improves farm monitoring efficiency, reduces crop losses, and supports sustainable, technology-enabled agricultural practices. Keywords: Smart Agriculture, Internet of Things, Artificial Intelligence, Plant Disease Detection, Raspberry Pi, Camera Module, Firebase, Crop Marketplace, Seed Exchange.

Plant phenotyping relevance

植物葉画像から病害状態を分類するMobileNetベースの取得・推定機能が、統合スマート農業プラットフォームの主要モジュールとして明示されているため、植物フェノタイピング応用として採用する。

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