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作品数：140被引量：192H指数：7
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Improving the non-destructive maturity classification model for durian fruit using near-infrared spectroscopy
《Artificial Intelligence in Agriculture》2023年第1期35-43,共9页Sirirak Ditcharoen Panmanas Sirisomboon Khwantri Saengprachatanarug Arthit Phuphaphud Ronnarit Rittiron Anupun Terdwongworakul Chayuttapong Malai Chirawan Saenphon Lalita Panduangnate Jetsada Posom 
supported by Research and Graduate Studies,Khon Kaen University,Thailand;Research Fund for Supporting Lecturer to Admit High Potential Student to Study and Research on His Expert Program Year 2021 from Graduate School,Khon Kaen University,Thailand;the Agricultural Research Development Agency(Public Organisation)[grant number CRP6405031580]。
The maturity state of durian fruit is a key indicator of quality before trading.This research aims to improve the near-infrared(NIR)model for classifying the maturity stage of durian fruit using a completely non-destr...
关键词：CLASSIFICATION Durian fruit Maturity stage Near-infrared spectroscopy Non-destructive method 
Non-destructive silkworm pupa gender classification with X-ray images using ensemble learning被引量：1
《Artificial Intelligence in Agriculture》2022年第1期100-110,共11页Sania Thomas Jyothi Thomas 
funded by the Department of Science&Technology(DST)with grant reference number:SEED/WS/2019/135.
Sericulture is the process of cultivating silkworms for the production of silk.High-quality production of silk without mixing with low quality is a great challenge faced in the silk production centers.One of the possi...
关键词：SERICULTURE Gender classification Stratified k-fold cross-validation Machine learning ADABOOST 
Non-destructive thermal imaging for object detection via advanced deep learning for robotic inspection and harvesting of chili peppers被引量：1
《Artificial Intelligence in Agriculture》2021年第1期102-117,共16页Steven C.Hespeler Hamidreza Nemati Ehsan Dehghan-Niri 
Deep Learning has been utilized in computer vision for object detection for almost a decade.Real-time object detection for robotic inspection and harvesting has gained interest during this time as a possible technique...
关键词：Deep learning You only look once(YOLO)v3 Object detection Chili pepper fruit 
Seedling-lump integrated non-destructive monitoring for automatic transplanting with Intel RealSense depth camera被引量：8
《Artificial Intelligence in Agriculture》2019年第3期18-32,共15页Tabinda Naz Syed Liu Jizhan Zhou Xin Zhao Shengyi Yuan Yan Sami Hassan Ahmed Mohamed Imran Ali Lakhiar 
Theworkwas supported by grants fromthe Jiangsu Agricultural Science and Technology Innovation Fund(CX(16)1044);the Natural Science Foundation of Colleges in Jiangsu Province(16KJA210002);the Project of Six Talent Peaks in Jiangsu Province(JXQC-008);a Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD-2018-87).
Non-destructive plant growth parameters measurement is an important concern in automatic-seedling transplanting.Recently,several image-basedmonitoring approaches have been proposed and potentially developed for severa...
关键词：Machine vision RealSense SR300 Segmentation Seedlings transplanting 
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