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This document summarizes a study that aimed to estimate the potassium and magnesium content of pineapple plants using imagery from an unmanned aerial vehicle (UAV). The study was conducted at a pineapple plantation in Central Lampung, Indonesia. Various vegetation indices (GNDVI, NDVI) were derived from the UAV images and compared to laboratory measurements of potassium and magnesium levels in pineapple leaves. The results showed that GNDVI had the best correlation with potassium content, while NDVI was bes

Author

theyaponz agraotek2015

Language

EN