Portable NIR Spectroscopy Combined with Machine Learning for Kiwi Ripeness Classification: An Approach to Precision Farming

This study aims to evaluate and classify the ripening stages of yellow-fleshed kiwifruit by integrating spectral and physicochemical data collected from the pre-harvest phase through 60 days of storage. A portable near-infrared (NIR) spectrometer (900–1700 nm) was used to develop predictive models f...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Giuseppe Altieri, Sabina Laveglia, Mahdi Rashvand, Francesco Genovese, Attilio Matera, Alba Nicoletta Mininni, Maria Calabritto, Giovanni Carlo Di Renzo
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	MDPI AG 2025-06-01
سلاسل:	Applied Sciences
الموضوعات:	portable near-infrared spectroscopy harvest quality prediction fruit ripening classification machine learning model
الوصول للمادة أونلاين:	https://www.mdpi.com/2076-3417/15/11/6233
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!