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Bin Li, Yuqi Wang, Lisha Li and Yande Liu
Machine learning is used widely in near-infrared spectroscopy (NIRS) for fruit qualification. However, the directly split training set used contains redundant samples, and errors may be introduced into the model. Euclidean distance-based and K-nearest ne...
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Cristiana Maduro Dias, Helder Nunes and Alfredo Borba
Nutrition has a very significant impact on animal performance. Given the limited agricultural area of the Azores, the optimization of forage quality, quantity, and availability is key for the local livestock industry?s ability to respond to the challenge...
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Alfadhl Y. Khaled, Nader Ekramirad, Kevin D. Donohue, Raul T. Villanueva and Akinbode A. Adedeji
The demand for high-quality apples remains strong throughout the year, as they are one of the top three most popular fruits globally. However, the apple industry faces challenges in monitoring and managing postharvest losses due to invasive pests during ...
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Grace A. Adegoye, Omolayo J. Olorunwa, Firas A. Alsajri, Charles H. Walne, Chaturika Wijewandana, Swatantra R. Kethireddy, Krishna N. Reddy and K. Raja Reddy
In humid climates, waterlogging from excessive rainfalls can be a major limiting factor for soybean production, particularly during the reproductive stage. However, there is a limited understanding of how soybean growth and physiology respond to waterlog...
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Zhiyong Zhang, Shuo Wang and Yanqing Zhang
Water is one of the important factors affecting pork quality. In this study, near-infrared (NIR) spatially resolved (SR) spectroscopy was used to detect the water content of pork. The SR spectra of 150 pork samples were collected within the light source?...
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