-
蘇文浩
（中國農業大學高層次人才、北京市平谷區科學技術和工業信息化局總工程師）
鎖定
蘇文浩基本介紹
蘇文浩 (Wen-Hao Su)，現為北京市平谷區科學技術和工業信息化局總工程師
[2]
、國家農業科技創新港建設指揮部規劃建設部副部長
[2]
、中國農業大學工學院產業創新研究中心副主任、中國農業大學高層次人才、副教授、入選美國農業與生物工程師學會年度新人物。已發表學術文章近90篇
[2]
；國際期刊主編 (Smart Cities)
[59]
、副主編 (Frontiers in Plant Science 等)
[60]
、顧問 (Remote Sensing 等)、編委 (Agriculture)、首席客座編輯 (Biosensors 等)
[2]
。曾於美國明尼蘇達大學 (University of Minnesota Twin Cities) ，美國農業部 (United States Department of Agriculture, USDA) ，加州大學戴維斯分校 (UC Davis, UCD) ，英國伯明翰大學 (University of Birmingham) 等世界一流大學工作。
[4]
蘇文浩於愛爾蘭國立大學都柏林大學學院 (UC Dublin, UCD) 獲得生物系統與食品工程博士學位(導師：孫大文院士)。現為美國農業與生物工程師學會 (ASABE) 和美國園藝科學學會 (ASHS) 會員。受邀參加在美國、英國、愛爾蘭、丹麥、加拿大、西班牙、希臘、土耳其和阿聯酋等國家舉辦的國際學術會議（ASABE年會、CIGR世界大會、IUFoST世界大會、EFFoST國際會議、先進振動光譜學國際會議、近紅外光譜學國際會議等）並作報告近30次
[2]
；擔任多個國際學術期刊 (Nature Communications, Trends in Food Science and Technology, Critical Reviews in Food Science and Nutrition, Food Chemistry, Computers and Electronics in Agriculture, Sensors, Remote Sensing, Biosensors, Postharvest Biology and Technology 等) 同行通訊評審專家
[2]
。近年來，他先後被正式邀請為國內外多個學術機構演講 (包括美國加州大學戴維斯分校、美國南達科他州立大學、上海交通大學 、中山大學、北京航空航天大學、四川大學、大連理工大學、重慶大學、江南大學等)
[4-7]
。
英國伯明翰大學蘇文浩博士作客西南大學食品科學學院
蘇文浩人物經歷
2014年，愛爾蘭國立都柏林大學生物系統與食品工程博士
2015年，丹麥哥本哈根大學機器學習訪問學者
2016年，西班牙國立聖地亞哥大學計算機科學訪問學者
2016年，英國伯明翰大學化學工程訪問學者
2016年，受邀參加歐美同學會“百名海外名校博士創業中國行”活動
[2]
2018年，美國農業部食品與植物科學研究員
2018年，美國加州大學戴維斯分校生物與農業工程研究員
2019年，美國明尼蘇達大學生物製品與生物系統工程研究員
2020年，中國農業大學高層次人才、副教授 (五級)
[2]
2022年，中國農業大學工學院產業創新研究中心副主任
2023年，國家農業科技創新港建設指揮部規劃建設部副部長
[2]
蘇文浩研究領域
- 從事計算機視覺、農業自動化、食品工程、電子信息、機器學習、紅外顯微光譜學、拉曼光譜、高光譜及多光譜成像技術的應用研究。
蘇文浩教學研究
- 從事計算機視覺、農業自動化、食品工程、電子信息、機器學習、高光譜及多光譜成像技術研究。
蘇文浩學術成果
- 已發表學術文章近90篇 (學術谷歌引用1600餘次，H指數23) [2] ，其中以第一作者/通訊作者在相關領域頂級期刊 (Comprehensive Reviews in Food Science and Food Safety, Critical Reviews in Food Science and Nutrition, Computers and Electronics in Agriculture, Biosystems Engineering, Journal of Food Engineering, Talanta, Food Chemistry, Remote Sensing 等) 發表英文SCI論文37篇 [2] ；1區論文31篇 [2] ；ESI高被引論文5篇；影響因子累計260以上 [2] ；以第一作者參與編寫3部英文學術專著。
蘇文浩社會任職
任職時間 | 組織機構名稱 | 職務 |
2022 | 中國農業機械學會農副產品加工機械分會 | |
2022 | Smart Cities (ISSN 2624-6511) | |
2022 | Frontiers in Plant Science (ISSN 1664-462X) | |
2022 | Remote Sensing (ISSN 2072-4292) | |
2022 | Biosensors (ISSN 2079-6374) | |
2022 | Agriculture(ISSN 2077-0472) | 編委會委員 |
2022 | Agronomy (ISSN 2073-4395) | 編委會委員 |
2022 | Foods (ISSN 2304-8158) | 顧問委員會委員 |
2021 | Smart Cities (ISSN 2624-6511) | 編委會委員 |
2018 | Artificial Intelligence in Agriculture (ISSN 2589-7217) | 編委會委員 |
蘇文浩榮譽表彰
時間 | 獎項/榮譽 | 授予單位 |
2021 | 農業農村部 | |
2020 | 中國農業大學 | |
2020 | New Faces of ASABE - Professionals | 美國農業與生物工程師學會 (ASABE) |
2018 | 最佳論文獎 (Best Paper Award) | 國際食品特性大會 |
2015 | 歐盟獎學金 | 歐盟基金會 |
2014 | 都柏林大學博士獎學金 | 愛爾蘭國立大學 |
蘇文浩學術論著
蘇文浩期刊論文
時間 | 作者 | 論文名稱 | 期刊信息 |
|---|---|---|---|
2022 | Wen-Hao Su*, J. Sheng, Q.-Y | Development of a Three-Dimensional Plant Localization Technique for Automatic Differentiation of Soybean from Intra-Row Weeds | |
2022 | K.-J. Fan, Wen-Hao Su* | Applications of Fluorescence Spectroscopy, RGB- and MultiSpectral Imaging for Quality Determinations of White Meat: A Review | |
2022 | B-Y Liu, K.-J. Fan, Wen-Hao Su*, Y. Peng | Two-Stage Convolutional Neural Networks for Diagnosing the Severity of Alternaria Leaf Blotch Disease of the Apple Tree | |
2021 | Wen-Hao Su, et al. | Automatic Evaluation of Wheat Resistance to Fusarium Head Blight Using Dual Mask-RCNN Deep Learning Frameworks in Computer Vision | |
2021 | Wen-Hao Su, et al. | Hyperspectral imaging and improved feature variable selection for automated determination of deoxynivalenol in various genetic lines of barley kernels for resistance screening | |
2021 | Wen-Hao Su, H. Xue. | Imaging Spectroscopy and Machine Learning for Intelligent Determination of Potato and Sweet Potato Quality | |
2021 | Wen-Hao Su | Rapid Softness Prediction and Microbial Spoilage Visualization of Whole Tomatoes by Using Hyper/Multispectral Imaging | |
2020 | Wen-Hao Su | Systemic Crop Signaling for Automatic Recognition of Transplanted Lettuce and Tomato under Different Levels of Sunlight for Early Season Weed Control | |
2020 | Wen-Hao Su | Crop plant signaling for real-time plant identification in smart farm: A systematic review and new concept in artificial intelligence for automated weed control | |
2020 | Wen-Hao Su | Advanced Machine Learning in Point Spectroscopy, RGB- and Hyperspectral-Imaging for Automatic Discriminations of Crops and Weeds: A Review | |
2020 | Wen-Hao Su, David C. Slaughter, Steven A. Fennimore | Non-destructive evaluation of photostability of crop signaling compounds and dose effects on celery vigor for precision plant identification using computer vision | |
2020 | Wen-Hao Su, Steven A. Fennimore, David C. Slaughter | Development of a systemic crop signalling system for automated real-time plant care in vegetable crops | |
2020 | Wen-Hao Su, Serafim Bakalis, Da-Wen Sun | Chemometric determination of time series moisture in both potato and sweet potato tubers during hot air and microwave drying using near/mid-infrared (NIR/MIR) hyperspectral techniques | |
2019 | Wen-Hao Su, Serafim Bakalis, Da-Wen Sun | Fingerprinting study of tuber ultimate compressive strength at different microwave drying times using mid-infrared imaging spectroscopy | |
2019 | Wen-Hao Su, Steven A. Fennimore, David C. Slaughter | Fluorescence imaging for rapid monitoring of translocation behaviour of systemic markers in snap beans for automated crop/weed discrimination | |
2019 | Wen-Hao Su, Serafim Bakalis, Da-Wen Sun | Chemometrics in tandem with near infrared (NIR) hyperspectral imaging and Fourier transform mid infrared (FT-MIR) microspectroscopy for variety identification and cooking loss determination of sweet potato | |
2019 | Wen-Hao Su, Da-Wen Sun | Mid-infrared (MIR) Spectroscopy for Quality Analysis of Liquid Foods | |
2019 | Wen-Hao Su, Serafim Bakalis, Da-Wen Sun | Potato hierarchical clustering and doneness degree determination by near-infrared (NIR) and attenuated total reflectance mid-infrared (ATR-MIR) spectroscopy | |
2018 | Wen-Hao Su, Da-Wen Sun | Fouriter transform infrared and Raman and hyperspectral imaging techniques for quality determination of powdery foods: a review | |
2018 | Wen-Hao Su, Da-Wen Sun | Multispectral imaging for plant food quality analysis and visualization | |
2018 | Wen-Hao Su, Serafim Bakalis, Da-Wen Sun | Fourier transform mid-infrared attenuated total reflectance (FTMIR-ATR) microspectroscopy for determining textural property of microwave baked tuber | |
2017 | Wen-Hao Su, Da-Wen Sun | Evaluation of spectral imaging for inspection of adulterants in terms of common wheat flour, cassava flour and corn flour in organic Avatar wheat (Triticum spp.) flour | |
2017 | Wen-Hao Su, Hong-Ju He, Da-Wen Sun | Non-destructive and rapid evaluation of staple foods quality by using spectroscopic techniques: a review | |
2017 | Wen-Hao Su, Da-Wen Sun | Chemical imaging for measuring the time series variations of tuber dry matter and starch concentration | |
2017 | Wen-Hao Su, Da-Wen Sun, Jian-Guo He, Ling-Biao Zhang. | Variation analysis in spectral indices of volatile chlorpyrifos and non-volatile imidacloprid in jujube (Ziziphus jujuba Mill.) using near-infrared hyperspectral imaging (NIR-HSI) and gas chromatograph-mass spectrometry (GC–MS) | |
2016 | Wen-Hao Su, Da-Wen Sun | Comparative assessment of feature-wavelength eligibility for measurement of water binding capacity and specific gravity of tuber using diverse spectral indices stemmed from hyperspectral images | |
2016 | Wen-Hao Su, Da-Wen Sun | Facilitated wavelength selection and model development for rapid determination of the purity of organic spelt (Triticum speltaL.) flour using spectral imaging | |
2016 | Wen-Hao Su, Da-Wen Sun | Multivariate analysis of hyper/multi-spectra for determining volatile compounds and visualizing cooking degree during low-temperature baking of tubers | |
2016 | Wen-Hao Su, Da-Wen Sun | Potential of hyperspectral imaging for visual authentication of sliced organic potatoes from potato and sweet potato tubers and rapid grading of the tubers according to moisture proportion |
蘇文浩學術會議
時間 | 作者 | 報告題目 | 會議名稱 |
|---|---|---|---|
2022 | B.-Y. Liu, K.-J. Fan, Wen-Hao Su | Automatic Detection of Apple Alternaria Leaf Spot Based on PSPNet-CBAM | |
2022 | J.-L. Li, Wen-Hao Su | Computer vision for localization of tomato for weed control | |
2022 | J.-L. Zhang, Wen-Hao Su | Deep learning model for automatic lettuce/weed identification using transfer learning | |
2021 | Wen-Hao Su | Rapid Assessment of Deoxynivalenol Content in Barley Using Hyperspectral imaging | |
2021 | J. Sheng, Q.-Y. Huang, Q. Y., Wen-Hao Su | Development of a seed treatment technique for automatic identification of soybean plants | |
2020 | Wen-Hao Su, Steven A. Fennimore, David C. Slaughter | Development of a Novel Root Treatment Technique Using Systematic Fluorescent Compounds for Precision Weed Control | |
2020 | Wen-Hao Su, Steven A. Fennimore, David C. Slaughter | Evaluation of Photostability of Rhodamine B for Automatic Recognition of Tomato Plants | |
2020 | Wen-Hao Su, et al. | Evaluation of Mask RCNN for Learning to Detect Fusarium Head Blight in Wheat Images | |
2019 | Wen-Hao Su | Computer Vision for Rapid Evaluation of Deoxynivalenol (DON) Levels in Wheat and Barley Seeds from Different Genetic Lines and for Automated Crop Identification for Weed Control | |
2019 | Wen-Hao Su, Steven A. Fennimore, David C. Slaughter | Computer Vision Technology for Identification of Snap Bean Crops using Systemic Rhodamine B | |
2019 | Wen-Hao Su, Serafim Bakalis, Da-Wen Sun | NIR/MIR Spectroscopy in Tandem with Chemometrics for Rapid Identification and Evaluation of Potato Variety and Doneness Degree | |
2019 | Wen-Hao Su, Serafim Bakalis, Da-Wen Sun | Advanced Applications of Near/Mid-Infrared (NIR/MIR) Imaging Spectroscopy for Rapid Prediction of Potato and Sweet Potato Moisture Contents | |
2019 | Wen-Hao Su, Steven A. Fennimore, David C. Slaughter | Automated Identification of Systemic Fluorescent Markers in Vegetable Seedling Leaves for Weed and Crop Differentiation | |
2019 | Wen-Hao Su, Da-Wen Sun | Rapid Determination of Starch Content of Potato and Sweet Potato By Using NIR Hyperspectral Imaging | |
2018 | Wen-Hao Su, Da-Wen Sun,Serafim Bakalis | FT-IR imaging spectroscopy for measurement of times-series physical parameters of potato and sweet potato tubers during microwave drying | |
2017 | Wen-Hao Su, Da-Wen Sun,Serafim Bakalis | Performance of an optimized sensor-based chemical imaging technique for rapid visual measurement of organic wheat (Triticum spp.) flour fraud | |
2016 | Wen-Hao Su, Da-Wen Sun | Authentication of organic potatoes from other tubers based on spectral imaging |
蘇文浩出版書籍
時間 | 作者排名 | 章節名稱 | 書籍名稱 | 出版信息 |
|---|---|---|---|---|
2021 | 第一 | Chapter 5-Hyperspectral Imaging and Machine Learning for Rapid Assessment of Deoxynivalenol of Barley Kernels | Nondestructive Evaluation of Agro-products by Intelligent Sensing Techniques | |
2019 | 第一 | Chapter Five-Advanced Analysis of Roots and Tubers by Hyperspectral Techniques | Advances in Food and Nutrition Research | |
2018 | 第一 | Chapter 18-Trends in Food Authentication | Modern Techniques for Food Authentication |
- 參考資料
-
- 1. 中國農業大學 學校公告 關於2020年中國農業大學人才評議結果的公示（二十） ．中國農業大學官網．2020-09-25[引用日期2020-11-04]
- 2. 工學院 ．中國農業大學教師個人網頁．2024-01-18[引用日期2024-01-18]
- 3. New Faces of ASABE - 2020 ．American Society of Agricultural and Biological Engineers．2020-02-10[引用日期2020-02-11]
- 4. 西南大學首屆青年學者“含弘科技論壇”——英國伯明翰大學蘇文浩博士作客食品科學學院作學術報告 ．西南大學食品科學學院主頁．2017-05-23[引用日期2018-02-28]
- 5. 我院舉辦首屆國際青年學者嶗山論壇——公共衞生學院分論壇 ．青島大學公共衞生學院主頁．2018-01-02[引用日期2018-02-28]
- 6. 信電學院舉辦“大禹青年學者論壇”學術交流會 ．中國農業大學信息與電器工程學院．2017-12-29[引用日期2018-07-13]
- 7. 江南大學青年學術論壇-食品學院分會場報告會 ．江南大學食品學院．2018-05-14[引用日期2018-07-14]
- 8. New Faces of ASABE ．American Society of Agricultural and Biological Engineers．2019-12-16[引用日期2020-02-23]
- 9. 工學院 ．中國農業大學官網．2020-12-24[引用日期2021-02-18]
- 10. Advanced Analysis of Roots and Tubers by Hyperspectral Techniques ．ScienceDirect．2018-12-21[引用日期2018-12-25]
- 11. Trends in Food Authentication ．ScienceDirect．2018-08-10[引用日期2018-08-20]
- 12. Hyperspectral imaging and improved feature variable selection for automated determination of deoxynivalenol in various genetic lines of barley kernels for resistance screening - ScienceDirect ．ScienceDirect．2020-10-31[引用日期2020-11-04]
- 13. Remote Sensing | Free Full-Text | Automatic Evaluation of Wheat Resistance to Fusarium Head Blight Using Dual Mask-RCNN Deep Learning Frameworks in Computer Vision ．MDPI．2021-01-01[引用日期2021-02-18]
- 14. Crop plant signaling for real-time plant identification in smart farm: A systematic review and new concept in artificial intelligence for automated weed control ．ScienceDirect．2020-11-27[引用日期2021-02-19]
- 15. Smart Cities | Free Full-Text | Advanced Machine Learning in Point Spectroscopy, RGB- and Hyperspectral-Imaging for Automatic Discriminations of Crops and Weeds: A Review ．MDPI．2020-08-01[引用日期2020-11-04]
- 16. Challenges | Free Full-Text | Systemic Crop Signaling for Automatic Recognition of Transplanted Lettuce and Tomato under Different Levels of Sunlight for Early Season Weed Control ．MDPI．2020-09-23[引用日期2020-11-04]
- 17. Non-destructive evaluation of photostability of crop signaling compounds and dose effects on celery vigor for precision plant identification using computer vision ．Elsevier．2019-12-19[引用日期2019-12-20]
- 18. Development of a systemic crop signalling system for automated real-time plant care in vegetable crops ．ScienceDirect．2020-03-05[引用日期2020-03-05]
- 19. Chemometric determination of time series moisture in both potato and sweet potato tubers during hot air and microwave drying using near/mid-infrared (NIR/MIR) hyperspectral techniques ．Tandfonline．2019-05-06[引用日期2019-05-06]
- 20. Fingerprinting study of tuber ultimate compressive strength at different microwave drying times using mid-infrared imaging spectroscopy ．Tandfonline．2019-01-02[引用日期2019-01-04]
- 21. Fluorescence imaging for rapid monitoring of translocation behaviour of systemic markers in snap beans for automated crop/weed discrimination ．ScienceDirect．2019-08-12[引用日期2019-08-12]
- 22. Chemometrics in tandem with near infrared (NIR) hyperspectral imaging and Fourier transform mid infrared (FT-MIR) microspectroscopy for variety identification and cooking loss determination of sweet potato ．Science Direct．2019-02-08[引用日期2019-02-08]
- 23. Mid-infrared (MIR) Spectroscopy for Quality Analysis of Liquid Foods ．Springer．2019-05-06[引用日期2019-05-06]
- 24. Potato hierarchical clustering and doneness degree determination by near-infrared (NIR) and attenuated total reflectance mid-infrared (ATR-MIR) spectroscopy ．Springer．2019-02-09[引用日期2019-02-09]
- 25. Fourier transform infrared and Raman and hyperspectral imaging techniques for quality determinations of powdery foods: a review ．Wiley Online Library．2017-11-22[引用日期2018-07-12]
- 26. Multispectral Imaging for Plant Food Quality Analysis and Visualization ．Wiley Online Library．2018-01-02[引用日期2018-07-12]
- 27. Fourier transform mid-infrared-attenuated total reflectance (FTMIR-ATR) microspectroscopy for determining textural property of microwave baked tuber ．ScienceDirect．2017-08-17[引用日期2018-07-12]
- 28. Evaluation of spectral imaging for inspection of adulterants in terms of common wheat flour, cassava flour and corn flour in organic Avatar wheat (Triticum spp.) flour ．ScienceDirect．2016-12-22[引用日期2018-08-20]
- 29. Non-Destructive and rapid evaluation of staple foods quality by using spectroscopic techniques: A review ．Taylor and Francis Online．2015-10-19[引用日期2018-07-13]
- 30. Chemical imaging for measuring the time series variations of tuber dry matter and starch concentration ．ScienceDirect．2017-06-22[引用日期2018-08-21]
- 31. Variation analysis in spectral indices of volatile chlorpyrifos and non-volatile imidacloprid in jujube (Ziziphus jujuba Mill.) using near-infrared hyperspectral imaging (NIR-HSI) and gas chromatograph-mass spectrometry (GC–MS) ．ScienceDirect．2017-06-15[引用日期2018-08-21]
- 32. Comparative assessment of feature-wavelength eligibility for measurement of water binding capacity and specific gravity of tuber using diverse spectral indices stemmed from hyperspectral images ．ScienceDirect．2016-11-15[引用日期2018-07-13]
- 33. Facilitated wavelength selection and model development for rapid determination of the purity of organic spelt (Triticum spelta L.) flour using spectral imaging ．ScienceDirect．2016-04-20[引用日期2018-08-20]
- 34. Multivariate analysis of hyper/multi-spectra for determining volatile compounds and visualizing cooking degree during low-temperature baking of tubers ．ScienceDirect．2016-07-25[引用日期2018-08-21]
- 35. Potential of hyperspectral imaging for visual authentication of sliced organic potatoes from potato and sweet potato tubers and rapid grading of the tubers according to moisture proportion ．ScienceDirect．2016-05-14[引用日期2018-08-21]
- 36. Development of a Novel Root Treatment Technique Using Systematic Fluorescent Compounds for Precision Weed Control ．ASABE．2020-07-14[引用日期2020-11-04]
- 37. Evaluation of Photostability of Rhodamine B for Automatic Recognition of Tomato Plants ．ASABE．2020-07-14[引用日期2020-11-04]
- 38. Evaluation of Mask RCNN for Learning to Detect Fusarium Head Blight in Wheat Images ．ASABE．2020-07-14[引用日期2020-11-04]
- 39. Computer Vision for Rapid Evaluation of Deoxynivalenol (DON) Levels in Wheat and Barley Seeds from Different Genetic Lines and for Automated Crop Identification for Weed Control ．fastcon．2019/12/09[引用日期2020-03-16]
- 40. Computer Vision Technology for Identification of Snap Bean Crops using Systemic Rhodamine B ．American Society of Agricultural and Biological Engineers．2019-07-05[引用日期2019-08-05]
- 41. NIR/MIR Spectroscopy in Tandem with Chemometrics for Rapid Identification and Evaluation of Potato Variety and Doneness Degree ．American Society of Agricultural and Biological Engineers．2019-07-09[引用日期2019-08-12]
- 42. Advanced Applications of Near/Mid-Infrared (NIR/MIR) Imaging Spectroscopy for Rapid Prediction of Potato and Sweet Potato Moisture Contents ．American Society of Agricultural and Biological Engineers．2019-07-09[引用日期2019-08-12]
- 43. Automated Identification of Systemic Fluorescent Markers in Vegetable Seedling Leaves for Weed and Crop Differentiation ．ASHS 2019 Annual Conference．2019-07-23[引用日期2020-02-25]
- 44. Rapid Determination of Starch Content of Potato and Sweet Potato By Using NIR Hyperspectral Imaging ．ASHS 2019 Annual Conference．2019-07-22[引用日期2020-02-25]
- 45. FT-IR imaging spectroscopy for measurement of times-series physical parameters of potato and sweet potato tubers during microwave drying ．EXPERTS@MINNESOTA．2018/12/07[引用日期2020-03-16]
- 46. Performance of an optimized sensor-based chemical imaging technique for rapid visual measurement of organic wheat (Triticum spp.) flour fraud ．EXPERTS@MINNESOTA．2017/10[引用日期2020-03-16]
- 47. Authentication of organic potatoes from other tubers based on spectral imaging ．EXPERTS@MINNESOTA．2016/08[引用日期2020-03-16]
- 48. Imaging Spectroscopy and Machine Learning for Intelligent Determination of Potato and Sweet Potato Quality ．MDPI．2021-09-10[引用日期2022-05-30]
- 49. Rapid Softness Prediction and Microbial Spoilage Visualization of Whole Tomatoes by Using Hyper/Multispectral Imaging ．MDPI．2021-08-10[引用日期2022-05-30]
- 50. Remote Sensing | Free Full-Text | Two-Stage Convolutional Neural Networks for Diagnosing the Severity of Alternaria Leaf Blotch Disease of the Apple Tree ．MDPI．2022-05-24[引用日期2022-05-30]
- 51. Biosensors | Free Full-Text | Applications of Fluorescence Spectroscopy, RGB- and MultiSpectral Imaging for Quality Determinations of White Meat: A Review ．MDPI．2022-01-28[引用日期2022-05-30]
- 52. Agriculture | Free Full-Text | Development of a Three-Dimensional Plant Localization Technique for Automatic Differentiation of Soybean from Intra-Row Weeds ．MDPI．2022-01-31[引用日期2022-05-30]
- 53. Rapid Assessment of Deoxynivalenol Content in Barley Using Hyperspectral imaging ．ASABE．2021-07-10[引用日期2022-05-30]
- 54. Development of a seed treatment technique for automatic identification of soybean plants ．ASABE．2021-07-10[引用日期2022-05-30]
- 55. 食品與健康學院赴中關村平谷園調研座談 ．北京工商大學食品與健康學院官網．2022-04-24[引用日期2022-06-02]
- 56. Automatic Detection of Apple Alternaria Leaf Spot Based on PSPNet-CBAM ．ASABE．2022-07-17[引用日期2022-07-18]
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