| A technical study on UAV characteristics for precision agriculture applications and associated practical challenges N Delavarpour, C Koparan, J Nowatzki, S Bajwa, X Sun Remote Sensing 13 (6), 1204, 2021 | 202 | 2021 |
| Color grading of beef fat by using computer vision and support vector machine K Chen, X Sun, C Qin, X Tang Computers and Electronics in Agriculture 70 (1), 27-32, 2010 | 119 | 2010 |
| Prediction of pork loin quality using online computer vision system and artificial intelligence model X Sun, J Young, JH Liu, D Newman Meat science 140, 72-77, 2018 | 72 | 2018 |
| Predicting beef tenderness using color and multispectral image texture features X Sun, KJ Chen, KR Maddock-Carlin, VL Anderson, AN Lepper, ... Meat Science 92 (4), 386-393, 2012 | 68 | 2012 |
| Prediction of pork color attributes using computer vision system X Sun, J Young, JH Liu, L Bachmeier, RM Somers, KJ Chen, D Newman Meat science 113, 62-64, 2016 | 57 | 2016 |
| Hyperspectral imaging techniques for rapid detection of nutrient content of hydroponically grown lettuce cultivars S Eshkabilov, A Lee, X Sun, CW Lee, H Simsek Computers and Electronics in Agriculture 181, 105968, 2021 | 51 | 2021 |
| Applications of deep learning in precision weed management: A review N Rai, Y Zhang, BG Ram, L Schumacher, RK Yellavajjala, S Bajwa, X Sun Computers and Electronics in Agriculture 206, 107698, 2023 | 50 | 2023 |
| Weed and crop species classification using computer vision and deep learning technologies in greenhouse conditions GC Sunil, Y Zhang, C Koparan, MR Ahmed, K Howatt, X Sun Journal of Agriculture and Food Research 9, 100325, 2022 | 48 | 2022 |
| A review on meat quality evaluation methods based on non-destructive computer vision and artificial intelligence technologies Y Shi, X Wang, MS Borhan, J Young, D Newman, E Berg, X Sun Food science of animal resources 41 (4), 563, 2021 | 43 | 2021 |
| Predicting pork loin intramuscular fat using computer vision system JH Liu, X Sun, JM Young, LA Bachmeier, DJ Newman Meat science 143, 18-23, 2018 | 40 | 2018 |
| Progress and development on biological information of crop phenotype research applied to real-time variable-rate fertilization Y Shi, Y Zhu, X Wang, X Sun, Y Ding, W Cao, Z Hu Plant methods 16, 1-15, 2020 | 38 | 2020 |
| Prediction of troponin-T degradation using color image texture features in 10 d aged beef longissimus steaks X Sun, KJ Chen, EP Berg, DJ Newman, CA Schwartz, WL Keller, ... Meat science 96 (2), 837-842, 2014 | 35 | 2014 |
| Feasibility study on nondestructively sensing meat's freshness using light scattering imaging technique H Li, X Sun, W Pan, F Kutsanedzie, J Zhao, Q Chen Meat science 119, 102-109, 2016 | 29 | 2016 |
| Automatic Color Grading of Beef Lean Tissue Based on BP Neural Network and Computer Vision [J] Sun Xin, Lu Qiuyan, Chen Kunjie Transactions of the Chinese Society for Agricultural Machinery 4, 038, 2009 | 29* | 2009 |
| Predicting fresh beef color grade using machine vision imaging and support vector machine (SVM) analysis. X Sun, K Chen, EP Berg, JD Magolski | 26 | 2011 |
| Fabricating a nano-bionic sensor for rapid detection of H2S during pork spoilage using Ru NPs modulated catalytic hydrogenation conversion H Li, W Geng, X Sun, W Wei, X Mu, W Ahmad, MM Hassan, Q Ouyang, ... Meat Science 177, 108507, 2021 | 23 | 2021 |
| A digital image method for measuring and analyzing color characteristics of various color scores of beef X Sun, HJ Gong, F Zhang, KJ Chen 2009 2nd International Congress on Image and Signal Processing, 1-6, 2009 | 23 | 2009 |
| A novel hyperspectral microscopic imaging system for evaluating fresh degree of pork Y Xu, Q Chen, Y Liu, X Sun, Q Huang, Q Ouyang, J Zhao Korean journal for food science of animal resources 38 (2), 362, 2018 | 19 | 2018 |
| Using deep learning neural network in artificial intelligence technology to classify beef cuts S GC, B Saidul Md, Y Zhang, D Reed, M Ahsan, E Berg, X Sun Frontiers in Sensors 2, 654357, 2021 | 18 | 2021 |
| Evaluation of beef cattle temperament by eye temperature using infrared thermography technology X Chen, W Ogdahl, LLH Hanna, CR Dahlen, DG Riley, SA Wagner, ... Computers and Electronics in Agriculture 188, 106321, 2021 | 15 | 2021 |
Zhang YuPh.D.Verified email at ndus.edu
