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Agronomy 14 02783 V2 by yolandamilenatafurorahulio is a document available to read on EtoBox.
What is Agronomy 14 02783 V2 about?
This document reviews state-of-the-art techniques for detecting fruit maturity, highlighting the significance of accurate assessment for agricultural efficiency. It discusses various methodologies, including deep learning and spectral imaging, which have shown high accuracy in detecting fruit maturity stages, particularly in species like apples. The review also addresses challenges such as environmental factors and data limitations while suggesting future research directions for improving detection methods.
- Author
- yolandamilenatafurorahulio
- Language
- EN