Mochamad Firman Ghazali

TL;DR: In this paper, the authors combined and integrated the soil data from survey and laboratory with Landsat 8 satellite images to build two multiple regression equations model named the soil pH Index (SpHI), which is based on bare soil and paddy leaf models as the explanatory factors of soil moisture and soil salinity changes.

TL;DR: The results indicate that random forest algorithm is efficient in mapping coffee plantations in an agroforestry system.

TL;DR: In this article , a multidisciplinary approach for the study of banana herbs and fruits is presented. But the authors do not consider the use of remote sensing technologies to obtain information on many aspects, including remote sensing, biodiversity and biogeography, owing to the uniqueness of bananas.

TL;DR: In this paper, a regression model of red and near infrared (NIR) band combination is used to predict soil pH has been successfully given the smallest error (RMSe) as the soil pH accuracy is 1.18 and related to the land quality assessment based on predicted soil pH is shown that in the whole area of paddy field has acid situation of soil pH.

TL;DR: In this article, the chlorophyll content of local paddy cultivars Inpari 32 and inpari 33 was estimated and the difference at various days after planting (DAP) was determined.