Article
Agriculture, Multidisciplinary
Judit Rubio-Delgado, Carlos J. Perez, Miguel A. Vega-Rodriguez
Summary: This study analyzed the nitrogen status of an olive orchard in Carmonita, Spain using hyperspectral data. The results showed that the second derivative combined with standard normal variate preprocessing produced the best determination coefficients, and partial least squares regression models yielded higher accuracy compared to models based on vegetation indices.
PRECISION AGRICULTURE
(2021)
Article
Environmental Sciences
Zhengyuan Xu, Shengbo Chen, Bingxue Zhu, Liwen Chen, Yinghui Ye, Peng Lu
Summary: This study investigated the capability of a new hyperspectral imager, ZY1-02D, to estimate and map topsoil N content in black soil farmlands in northeast China. The results showed that sensitive bands modeling can enhance estimation accuracy and simplify the model, demonstrating the ideal capability of ZY1-02D for soil N content estimation at the regional scale.
Article
Agriculture, Multidisciplinary
Chenbo Yang, Meichen Feng, Lifang Song, Binghan Jing, Yongkai Xie, Chao Wang, Wude Yang, Lujie Xiao, Meijun Zhang, Xiaoyan Song
Summary: In this study, the effects of fractional-order derivatives (FOD) on soil spectral reflectance were studied, and the hyperspectral monitoring models of soil total nitrogen (STN) content were constructed based on the full spectrum band and the uninformative variable elimination (UVE)-extracted band. The results showed that the model constructed with the UVE-extracted bands had higher accuracy in monitoring STN content in wheat and soybean fields compared to the model constructed with the full band spectrum.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Environmental Sciences
Jia Jin, Mengjuan Wu, Guangman Song, Quan Wang
Summary: Nitrogen is an important nutrient for plants and plays a crucial role in their physiological processes. Various models have been developed to estimate leaf nitrogen content (LNC) from hyperspectral data, but they are not robust and often cannot be applied to new datasets. The selection of informative bands is critical for improving the performance and robustness of the models. However, there is no consensus on the optimal band selection method due to limited calibration and validation datasets. In this study, different informative band selection techniques were assessed using a comprehensive joint dataset, and it was found that coupling appropriate band-selection methods greatly improved the accuracy of the models.
Article
Agriculture, Multidisciplinary
Jingang Wang, Tian Tian, Haijiang Wang, Jing Cui, Yongqi Zhu, Wenxu Zhang, Xuanmeng Tong, Tianhang Zhou, Zhenkang Yang, Jiaqi Sun
Summary: The model based on the combination of LNC and OA-sensitive bands improves the accuracy and universality of cotton leaf nitrogen concentration estimation. The PLSR models show higher accuracy and stability compared to PCR models.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Environmental Sciences
Monica B. Olson, Melba M. Crawford, Tony J. Vyn
Summary: The overuse of nitrogen in food production can have negative impacts on health and the environment. This study investigated the use of remote sensing to improve nitrogen efficiency measures in maize production. The researchers found that hyperspectral imaging accurately predicted nitrogen concentration and conversion efficiency, benefiting genotype selection for breeding programs.
Article
Biodiversity Conservation
Showmitra Kumar Sarkar, Rhyme Rubayet Rudra, Md. Sadmin Nur, Palash Chandra Das
Summary: This study focuses on estimating the salinity of the soil along the coast of south-western Bangladesh. Thirteen soil salinity indicators were calculated using Landsat OLI images, and 241 soil salinity samples were collected from secondary sources. The relationship between soil salinity and several indices was analyzed, and the soil salinity map showed that 29.02% and 13.45% of the study area had very high and high levels of salinity, respectively. Cross-validation was also used to assess the model's predictive accuracy.
ECOLOGICAL INDICATORS
(2023)
Article
Biotechnology & Applied Microbiology
Ayman Ibrahim, Abdulrahman Alghannam, Ayman Eissa, Ferenc Firtha, Timea Kaszab, Zoltan Kovacs, Lajos Helyes
Summary: The assessment and assurance of quality attributes of date fruits using hyperspectral imaging technique shows great potential in monitoring and evaluating the physical, chemical, and sensory qualities of date fruits overall in the five maturity stages.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2021)
Article
Environmental Sciences
Onuwa Okwuashi, Christopher E. Ndehedehe, Dupe Nihinlola Olayinka
Summary: This research explores the novel application of Tensor Partial Least Squares (TPLS) for hyperspectral image classification. The results show that TPLS performed better than unfolded PLS, but fell short of traditional classifiers.
GEOCARTO INTERNATIONAL
(2022)
Article
Chemistry, Analytical
Katarzyna Wlodarska, Pawel Piasecki, Ana Lobo-Prieto, Katarzyna Pawlak-Lemanska, Tomasz Gorecki, Ewa Sikorska
Summary: This study evaluated and compared the potential of different optical spectroscopic techniques for quality assessment of apple juices. Calibration models based on NIR spectra of fruit showed high predictive ability for certain quality parameters, while models based on juice spectra performed best for others. The results provide insights for the development of fast quality control methods for juices.
MICROCHEMICAL JOURNAL
(2021)
Article
Agronomy
Junwei Ma, Lijuan Wang, Pengfei Chen
Summary: Gaussian process regression (GPR) and artificial neural network (ANN) methods performed best for leaf area index (LAI) inversion of winter wheat, while the spectral index (SI) method performed the worst.
Article
Food Science & Technology
Guomin Han, Lingmin Dai, Yuhang Sun, Chao Li, ShiLi Ruan, Jiming Li, Yan Xu
Summary: This study successfully predicted the age of dry red wines using color parameters and pigments through partial least squares (PLS) and multiple linear regression (MLR). Both models accurately predicted the age, with high coefficients of determination and low root mean square error of cross-validation. The ratio of the first polymeric pigments (TFPP) and malvidin-3-glycoside was identified as a promising chemical parameter for rapid and simple age assessment of dry red wines.
Article
Chemistry, Multidisciplinary
Donato Amitrano, Luca Cicala, Marco De Mizio, Francesco Tufano
Summary: Optimization of agricultural practices is crucial for addressing the challenges of increasing food demand in a context of reduced cultivable lands and growing sustainability concerns. This study proposes an operational methodology based on close-range hyperspectral remote sensing for characterizing vegetation biomass and nitrogen content. The technique relies on unsupervised active learning and an innovative usage of Shannon's entropy to minimize field sampling activities. Experimental results demonstrate the suitability of the proposed methodology for estimating grassland biomass and nitrogen content in operational environments.
APPLIED SCIENCES-BASEL
(2023)
Article
Plant Sciences
Anushika L. De Silva, Stephen J. Trueman, Wiebke Kamper, Helen M. Wallace, Joel Nichols, Shahla Hosseini Bai
Summary: Tree crop yield is greatly affected by fertiliser inputs, which are usually determined by assessing the nutrient levels in leaves. Traditional methods for nutrient analysis are time-consuming, but hyperspectral imaging has the potential for rapid nutrient assessment. This study aimed to evaluate the ability of laboratory-based hyperspectral imaging to predict nutrient concentrations in macadamia leaves, and compare the prediction accuracy of adaxial and abaxial leaf surfaces. The results showed that hyperspectral imaging could reliably predict foliar nutrient concentrations, with the best-fit models generally using spectral data from the adaxial surface.
Article
Environmental Sciences
Xiaoshan Luo, Lingyan Huang, Xixi Cai, Lihua Zhou, Shungui Zhou, Yong Yuan
Summary: This study evaluated the extracellular electron transfer (EET) activity of microbial communities in 41 paddy soils across China and identified the key microbiota responsible for EET. Bacterial network analysis showed positive correlations between different genera, indicating their cooperation in EET. Multiple linear regression analysis identified key contributors and competitors. Spearman analysis demonstrated that the abundance of these key taxa was influenced by carbon content and pH.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Mathematics, Interdisciplinary Applications
Xujun Ye, Kenshi Sakai
CHAOS SOLITONS & FRACTALS
(2016)
Article
Food Science & Technology
Xujun Ye, Kanako Lino, Shuhuai Zhang
Article
Agronomy
Xujun Ye, Shyota Ishioka, Shuhuai Zhang
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2017)
Article
Mathematics, Applied
Xujun Ye, Kenshi Sakai
Article
Engineering, Chemical
Seiichi Oshita, Muhammad Imran Al-Haq, Seiji Kawagishi, Yoshio Makino, Yoshinori Kawagoe, Xujun Ye, Satoshi Shinozaki, Naoya Hiruma
JOURNAL OF FOOD ENGINEERING
(2011)
Article
Agriculture, Multidisciplinary
Xujun Ye, Shiori Abe, Shuhuai Zhang, Hiroyuki Yoshimura
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2020)
Article
Multidisciplinary Sciences
Xujun Ye, Tamaki Doi, Osamu Arakawa, Shuhuai Zhang
Summary: This study introduces a spatially resolved interactance spectroscopy approach for estimating the degree of red coloration in red-fleshed apples. Results show that interactance spectra obtained at different light source-detector separation distances can predict anthocyanin content in the flesh accurately. This method has the potential to be applied in grading and sorting systems for red-fleshed apples in the fruit industry.
SCIENTIFIC REPORTS
(2021)
Article
Chemistry, Analytical
Xujun Ye, Marin Kitaya, Shiori Abe, Fanxing Sheng, Shuhuai Zhang
Summary: To produce high-quality crops, accurate nutrient management techniques are essential along with excellent cultivation techniques. However, existing nondestructive tools for measuring crop leaf chlorophyll and nitrogen contents are expensive for individual farmers. In this research, a low-cost and small-size camera with built-in LEDs of specific wavelengths was developed to evaluate the nutrient status of fruit trees. Two camera prototypes were developed, and using these prototypes, apple leaf images were obtained and analyzed to estimate the leaf nutrient status indicator values.
Article
Engineering, Multidisciplinary
Xujun Ye, Tomoki Izawa, Shuhuai Zhang
COGENT ENGINEERING
(2018)
Article
Spectroscopy
Zhou Li-ping, Zhao Yan-ru, Yu Ke-qiang, He Yong, Fang Hui, Ye Xu-jun
SPECTROSCOPY AND SPECTRAL ANALYSIS
(2017)
Article
Spectroscopy
Li Jin-meng, Ye Xu-jun, Wang Qiao-nan, Zhang Chu, He Yong
SPECTROSCOPY AND SPECTRAL ANALYSIS
(2014)
Article
Spectroscopy
Ye Xu-jun, Seiichi Oshita, Yoshio Makino, Qian Qiong-qiu, He Yong
SPECTROSCOPY AND SPECTRAL ANALYSIS
(2012)
Article
Spectroscopy
Ye Xu-jun, Kenshi Sakai, He Yong
SPECTROSCOPY AND SPECTRAL ANALYSIS
(2010)
Article
Spectroscopy
Wang Qiao-nan, Ye Xu-jun, Li Jin-meng, Xiao Yu-zhao, He Yong
SPECTROSCOPY AND SPECTRAL ANALYSIS
(2015)