Advancing Cassava Age Estimation in Precision Agriculture: Strategic Application of the BRAH Algorithm
Sornkitja Boonprong,
Tunlawit Satapanajaru,
Ngamlamai Piolueang
Abstract:Cassava crop age estimation is crucial for optimizing irrigation, fertilization, and pest management, which are key components of precision agriculture. Accurate knowledge of crop age allows for effective resource application, minimizing environmental impact and enhancing yield predictions. The Bare Land Referenced Algorithm from Hyper-Temporal Data (BRAH) is used for bare land classification and cassava crop age estimation, but it traditionally requires manual NDVI thresholding, which is challenging with larg… Show more
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