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Resource-Constrained Edge AI Solution for Real-Time Pest and Disease Detection in Chili Pepper Fields

Hoyoung Chung, Jin-Hwi Kim, Junseong Ahn, Yoona Chung et al. • Agriculture (2026)

This paper presents a low-cost, fully on-premise Edge Artificial Intelligence (AI) system designed to support real-time pest and disease detection in open-field chili pepper cultivation. The proposed architecture integrates AI-Thinker ESP32...

DOAJ Open Access (DOAJ) DOI: 10.3390/agriculture16020223

Bridging the performance–efficiency gap: a resource-efficient hybrid DL-ML framework for jackfruit disease detection

Rittik Chandra Das Turjy, Fahmid Al Farid, Fahmid Al Farid, Md. Hasan Imam Bijoy et al. • Frontiers in Artificial Intelligence (2026)

Complex environment variability and limited computational resources in agricultural settings create challenges in automated detection in tropical regions, where jackfruit diseases pose major threats to harvest productivity and food security...

DOAJ Open Access (DOAJ) DOI: 10.3389/frai.2026.1884567