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Luciano Di Martino, Alessandra Biancolillo, Claudia Scappaticci, Martina Foschi and Angelo Antonio D?Archivio
Brassicaceae is a family of vegetables found all over the world that has been attracting the attention of researchers due to its rich chemical composition and potential health benefits (antioxidant and anti-inflammatory, as well as antimutagenic activity...
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Dapeng Li, Jiang Long, Ziye Tang, Longbo Han, Zhongliang Gong, Liang Wen, Hailong Peng and Tao Wen
In this study, a multi-path Vis/NIR spectroscopy system was developed to detect the presence of Bactrocera dorsalis (Hendel) infestations of citrus fruit. Spectra were acquired for 252 citrus fruit, 126 of which were infested. Two hundred and fifty-two s...
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Thomas J. Tewes, Michael C. Welle, Bernd T. Hetjens, Kevin Saruni Tipatet, Svyatoslav Pavlov, Frank Platte and Dirk P. Bockmühl
Numerous publications showing that robust prediction models for microorganisms based on Raman micro-spectroscopy in combination with chemometric methods are feasible, often with very precise predictions. Advances in machine learning and easier accessibil...
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Gwang Soo Kim, Yeonghwa Gwon, Eun Ji Oh, Dongsu Kim, Jae Hyun Kwon and Young Do Kim
Increases in algal growth have been reported in rivers, reservoirs, and other water resources worldwide, including Korea. Algal overgrowth can result in algal bloom, which has several negative impacts, such as ecosystem degradation and economic losses. M...
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Dali Liu, Wenhao Shen, Wenjing Cao, Weimin Hou and Baozhu Wang
The acquisition of target data for underwater acoustic target recognition (UATR) is difficult and costly. Although deep neural networks (DNN) have been used in UATR, and some achievements have been made, the performance is not satisfactory when recognizi...
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Zhihua Wang, Zhan Zhao and Chenglong Yin
The classification of unmanned aerial vehicle hyperspectral images is of great significance in agricultural monitoring. This paper studied a fine classification method for crops based on feature transform combined with random forest (RF). Aiming at the p...
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Rui Liu, Feng Tan, Yaxuan Wang, Bo Ma, Ming Yuan, Lianxia Wang and Xin Zhao
The core of saline-alkali land improvement is planting suitable plants. Planting rice in saline-alkali land can not only effectively improve saline-alkali soil, but also increase grain yield. However, traditional identification methods for saline-alkali-...
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Zhiliang Kang, Jinping Geng, Rongsheng Fan, Yan Hu, Jie Sun, Youli Wu, Lijia Xu and Cheng Liu
The dry matter test of mango has important practical significance for the quality classification of mango. Most of the common fruit and vegetable quality nondestructive testing methods based on fluorescence hyperspectral imaging technology use a single a...
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Yue Sun, Sandor Brockhauser and Péter Hegedus
In scientific research, spectroscopy and diffraction experimental techniques are widely used and produce huge amounts of spectral data. Learning patterns from spectra is critical during these experiments. This provides immediate feedback on the actual st...
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Zhaoyu Zheng, Jiyun Lu and Dakai Liang
Flexible corrugated skins are ideal structures for morphing wings, and the associated load measurements are of great significance in structural health monitoring. This paper proposes a novel load-identification method for flexible corrugated skins based ...
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