Remote Sensing–Based Automated Machine Learning for Arabica Coffee Yield Prediction in Bandung Regency, Indonesia
Rohimatus Syamsyiah, Muhammad Amir Solihin, Mahfud Arifin & Bambang Susanto · International Journal of Plant & Soil Science · 2026
Monitoring coffee productivity is crucial for maximizing export potential, yet conventional field-based methods remain inefficient for large-scale applications. Remote sensing offers spectral and environmental insights linked to crop physiology, enabling spatially and temporally...
Open access
Research Article
10.9734/ijpss/2026/v38i15934