Discussion on: Remote Sensing–Based Automated Machine Learning for Arabica Coffee Yield Prediction in Bandung Regency, Indonesia

Discussion: Scholarly discussion on any scientific article is very important for the advancement of science. We strongly suggest all readers and authors to participate in such activities. Comment posting facility is available at the end of this page. Comment should meet the minimum standard of scientific discussion. Personal communication, personal attack, abusive language, etc are not allowed and comments will be moderated.

Article Title
Remote Sensing–Based Automated Machine Learning for Arabica Coffee Yield Prediction in Bandung Regency, Indonesia
Authored by

Rohimatus Syamsyiah
Postgraduate Program of Soil Science, Faculty of Agriculture, Universitas Padjadjaran, Sumedang, Indonesia.

Muhammad Amir Solihin
Department of Soil Science, Faculty of Agriculture, Universitas Padjadjaran, Sumedang, Indonesia.

Mahfud Arifin
Department of Soil Science, Faculty of Agriculture, Universitas Padjadjaran, Sumedang, Indonesia.

Bambang Susanto
Research Center for Food Crops, National Research and Innovation Agenc, Bogor, Indonesia.

DOI or Article Link

https://doi.org/10.9734/ijpss/2026/v38i15934

Leave a Comment