Mahfud Arifin

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

Assessing Pruning Intensity to Improve the Tea Productivity in Tropical Plantations by Multispectral Image Classification Model Using K-Means Algorithm

Ilmi Ramadhan, Rina Devnita & Mahfud Arifin · International Journal of Plant & Soil Science · 2023

Tea (Camellia sinensis) plays a crucial role in the Indonesian economy, but its production has witnessed a decline over the last two years. The majority of tea plantations in Indonesia have historical roots from the Dutch East Indies colonial government, underscoring the importan...

Open access Research Article 10.9734/ijpss/2023/v35i234263