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Xiuying Xu, Changhao Fu, Yingying Gao, Ye Kang and Wei Zhang
The origin of seeds is a crucial environmental factor that significantly impacts crop production. Accurate identification of seed origin holds immense importance for ensuring traceability in the seed industry. Currently, traditional methods used for iden...
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Anna Lubkowska, Aleksandra Radecka, Waldemar Pluta and Krzysztof Wieleba
Regional oxygen saturation (rSO2) assessed by near-infrared spectroscopy (NIRS) reflects the perfusion and metabolism of the assessed tissue. The study aimed to determine the reference values of rSO2 for selected body areas, considering gender, age and b...
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Pierre Schambri, Didier Kleiber and Cecile Levasseur-Garcia
This study delves into the detection of the mycotoxin zearalenone (ZEA) in popcorn, aligning with the broader goal of ensuring food safety and security. Employing fast, non-destructive near-infrared spectroscopy, the research analyzes 88 samples collecte...
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Lina Zhou, Leijinyu Zhou, Hongbo Wu, Tingting Jing, Tianhao Li, Jinsheng Li, Lijuan Kong and Limei Chen
In order to monitor cadmium contamination in lettuce quickly, non-invasively, and accurately, and to understand the growth status of lettuce under cadmium pollution, lettuce was used as the test material to detect and analyze the visible?near-infrared re...
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Sergio Vélez, Enrique Barajas, José Antonio Rubio, Dimas Pereira-Obaya and José Ramón Rodríguez-Pérez
This study explores spectroscopy in the 350 to 2500 nm range for detecting powdery mildew (Erysiphe necator) in grapevine leaves, crucial for precision agriculture and sustainable vineyard management. In a controlled experimental vineyard setting, the sp...
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Huajie Guo, Zhiying Qin, Wei Ren, Hongmei Feng, Wenliang Chen, Longlong Liu and Zhaoxia Sun
As a nutrient-rich multigrain crop, buckwheat is a typical ?medicinal food homology? crop that is rich in flavonoids, including rutin and various vitamins. It has positive anti-oxidant and anti-tumour properties and lowers blood pressure. However, due to...
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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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Jing Han, Junxian Guo, Zhenzhen Zhang, Xiao Yang, Yong Shi and Jun Zhou
Herein, we propose a new method based on Fourier-transform near-infrared spectroscopy (FT-NIR) for detecting impurities in seed cotton. Based on the spectral data of 152 seed cotton samples, we screened the characteristic wavelengths in full-band spectra...
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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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Joel B. Johnson, Kerry B. Walsh and Mani Naiker
This study compared the performance of near-infrared spectroscopy (NIRS) and mid-infrared spectroscopy (MIRS) for the prediction of moisture, protein, total phenolic content (TPC), ferric reducing antioxidant potential (FRAP) and total monomeric anthocya...
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