Smart Agricultural Technology最新文献

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Machine learning and Raman spectroscopy: A novel approach to cell research and early detection of citrus black spot 机器学习和拉曼光谱:柑橘黑斑细胞研究和早期检测的新方法
Smart Agricultural Technology Pub Date : 2025-10-21 DOI: 10.1016/j.atech.2025.101544
Yong Huang, Haoran Wang, Huasheng Huang, Zhiping Tan, Chaojun Hou, Jiajun Zhuang, Jingjun Chen, Hongbin Pu, Yu Tang
{"title":"Machine learning and Raman spectroscopy: A novel approach to cell research and early detection of citrus black spot","authors":"Yong Huang, Haoran Wang, Huasheng Huang, Zhiping Tan, Chaojun Hou, Jiajun Zhuang, Jingjun Chen, Hongbin Pu, Yu Tang","doi":"10.1016/j.atech.2025.101544","DOIUrl":"https://doi.org/10.1016/j.atech.2025.101544","url":null,"abstract":"Citrus Black Spot (CBS), caused by Phyllosticta citricarpa , is characterized by distinct lesions, including hard spots, water-soaked lesions, and necrotic spots that develop throughout fruit growth. These symptoms lead to peel pitting, deformities, and premature fruit drop. Understanding the infection process and host defense mechanisms at the cellular micro-level, along with early disease detection, can provide new strategies for controlling CBS. We developed an integrated approach combining Raman spectroscopy, chemometrics, and machine learning for cellular-level research and early CBS detection. A confocal micro-Raman spectrometer was utilized to obtain spectra from healthy and CBS-infected citrus at juvenile and mature stages, supplemented with Raman microspectroscopic imaging to create image cubes. Spectra from juvenile and mature citrus were preprocessed using Adaptive Iteratively Reweighted Penalized Least Squares (airPLS) and Standard Normal Variate (SNV), respectively. Comparison with reference spectra of citrus secondary metabolites identified carotenoids as biomarkers for CBS pathogenesis. By monitoring carotenoid Raman peak intensities and pseudocolor imaging, this study revealed for the first time at the cellular level that citrus modulates carotenoid metabolism as a defense response to P. citricarpa infection. The significant negative correlations between characteristic peak intensities and disease severity indices (r = -0.76, -0.89, -0.93; p <0.01) further supported this mechanism. Finally, Backpropagation (BP) neural network based on Principal Component Analysis (PCA) and Competitive Adaptive Reweighted Sampling (CARS) feature extraction algorithms demonstrated robust performance in the early detection of CBS. The CARS-BP achieved an accuracy of 97.83% for juvenile citrus, while the PCA-BP reached 97.59% accuracy for mature citrus.","PeriodicalId":504196,"journal":{"name":"Smart Agricultural Technology","volume":"12 1","pages":"101544-101544"},"PeriodicalIF":0.0,"publicationDate":"2025-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147331502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A Systematic Review of Fourth Industrial Revolution Technologies in Smart Irrigation: Constraints, Opportunities, and Future Prospects for sub-Saharan Africa 第四次工业革命智能灌溉技术系统综述:撒哈拉以南非洲的制约因素、机遇和未来前景
Smart Agricultural Technology Pub Date : 2024-02-01 DOI: 10.1016/j.atech.2024.100412
J. Wanyama, Erion Bwambale, Shafik Kiraga, Abia Katimbo, Prossie Nakawuka, I. Kabenge, Isaac Oluk
{"title":"A Systematic Review of Fourth Industrial Revolution Technologies in Smart Irrigation: Constraints, Opportunities, and Future Prospects for sub-Saharan Africa","authors":"J. Wanyama, Erion Bwambale, Shafik Kiraga, Abia Katimbo, Prossie Nakawuka, I. Kabenge, Isaac Oluk","doi":"10.1016/j.atech.2024.100412","DOIUrl":"https://doi.org/10.1016/j.atech.2024.100412","url":null,"abstract":"","PeriodicalId":504196,"journal":{"name":"Smart Agricultural Technology","volume":"1 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139891765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Review on the contribution of farming practices and technologies towards climate-smart agricultural outcomes in a European context 审查耕作方法和技术对欧洲气候智能型农业成果的贡献
Smart Agricultural Technology Pub Date : 2024-02-01 DOI: 10.1016/j.atech.2024.100413
Kassa Tarekegn Erekalo, Søren Marcus Pedersen, Tove Christensen, S. Denver, Marilena Gemtou, S. Fountas, Gohar Isakhanya
{"title":"Review on the contribution of farming practices and technologies towards climate-smart agricultural outcomes in a European context","authors":"Kassa Tarekegn Erekalo, Søren Marcus Pedersen, Tove Christensen, S. Denver, Marilena Gemtou, S. Fountas, Gohar Isakhanya","doi":"10.1016/j.atech.2024.100413","DOIUrl":"https://doi.org/10.1016/j.atech.2024.100413","url":null,"abstract":"","PeriodicalId":504196,"journal":{"name":"Smart Agricultural Technology","volume":"284 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139821365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Effect of Long-Term Climate Signatures on regional and local Potato Yield in Finland 长期气候特征对芬兰地区和当地马铃薯产量的影响
Smart Agricultural Technology Pub Date : 2024-02-01 DOI: 10.1016/j.atech.2024.100411
Kedar Ghag, Amirhossein Ahrari, Anandharuban Panchanathan, Mustafa Syed Md Touhidul, Toni Liedes, Björn Klöve, A. Haghighi
{"title":"Effect of Long-Term Climate Signatures on regional and local Potato Yield in Finland","authors":"Kedar Ghag, Amirhossein Ahrari, Anandharuban Panchanathan, Mustafa Syed Md Touhidul, Toni Liedes, Björn Klöve, A. Haghighi","doi":"10.1016/j.atech.2024.100411","DOIUrl":"https://doi.org/10.1016/j.atech.2024.100411","url":null,"abstract":"","PeriodicalId":504196,"journal":{"name":"Smart Agricultural Technology","volume":"7 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139883029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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