| Physical and mechanical properties of Jatropha curcas L. fruits, nuts and kernels P Sirisomboon, P Kitchaiya, T Pholpho, W Mahuttanyavanitch Biosystems engineering 97 (2), 201-207, 2007 | 366 | 2007 |
| Evaluation of tomato textural mechanical properties P Sirisomboon, M Tanaka, T Kojima Journal of Food Engineering 111 (4), 618-624, 2012 | 112 | 2012 |
| Nondestructive estimation of maturity and textural properties on tomato ‘Momotaro’by near infrared spectroscopy P Sirisomboon, M Tanaka, T Kojima, P Williams Journal of Food Engineering 112 (3), 218-226, 2012 | 105 | 2012 |
| Evaluation of pectin constituents of Japanese pear by near infrared spectroscopy P Sirisomboon, M Tanaka, S Fujita, T Kojima Journal of food engineering 78 (2), 701-707, 2007 | 92 | 2007 |
| Physical properties of green soybean: Criteria for sorting P Sirisomboon, P Pornchaloempong, T Romphophak Journal of food engineering 79 (1), 18-22, 2007 | 89 | 2007 |
| Application of near infrared spectroscopy to detect aflatoxigenic fungal contamination in rice CD Sirisomboon, R Putthang, P Sirisomboon Food Control 33 (1), 207-214, 2013 | 88 | 2013 |
| Classification of longan fruit bruising using visible spectroscopy T Pholpho, S Pathaveerat, P Sirisomboon Journal of Food Engineering 104 (1), 169-172, 2011 | 82 | 2011 |
| Physical properties of Jatropha curcas L. kernels after heat treatments P Sirisomboon, P Kitchaiya Biosystems engineering 102 (2), 244-250, 2009 | 82 | 2009 |
| 2D/3D vision-based mango's feature extraction and sorting T Chalidabhongse, P Yimyam, P Sirisomboon 2006 9th International Conference on Control, Automation, Robotics and …, 2006 | 69 | 2006 |
| Rapid non-destructive evaluation of moisture content and higher heating value of Leucaena leucocephala pellets using near infrared spectroscopy J Posom, A Shrestha, W Saechua, P Sirisomboon Energy 107, 464-472, 2016 | 67 | 2016 |
| Study on non-destructive evaluation methods for defect pods for green soybean processing by near-infrared spectroscopy P Sirisomboon, Y Hashimoto, M Tanaka Journal of Food Engineering 93 (4), 502-512, 2009 | 55 | 2009 |
| Physical properties analysis of mango using computer vision P Yimyam, T Chalidabhongse, P Sirisomboon, S Boonmung 제어로봇시스템학회: 학술대회논문집, 746-750, 2005 | 54 | 2005 |
| Relationship between the texture and pectin constituents of Japanese pear P SIRISOMBOON, M TANAKA, S FUJITA, T KOJIMA Journal of texture studies 31 (6), 679-690, 2000 | 49 | 2000 |
| Evaluation of lower heating value and elemental composition of bamboo using near infrared spectroscopy J Posom, P Sirisomboon Energy 121, 147-158, 2017 | 45 | 2017 |
| Improvement of proximate data and calorific value assessment of bamboo through near infrared wood chips acquisition P Sirisomboon, A Funke, J Posom Renewable energy 147, 1921-1931, 2020 | 35 | 2020 |
| In-line near infrared spectroscopy for the prediction of moisture content in the tapioca starch drying process K Phetpan, V Udompetaikul, P Sirisomboon Powder technology 345, 608-615, 2019 | 32 | 2019 |
| Evaluation of the textural properties of Japanese pear P SIRISOMBOON, M TANAKA, T AKINAGA, T KOJIMA Journal of Texture Studies 31 (6), 665-677, 2000 | 30 | 2000 |
| NIR spectroscopy for quality evaluation of fruits and vegetables P Sirisomboon Materials Today: Proceedings 5 (10), 22481-22486, 2018 | 27 | 2018 |
| An online visible and near-infrared spectroscopic technique for the real-time evaluation of the soluble solids content of sugarcane billets on an elevator conveyor K Phetpan, V Udompetaikul, P Sirisomboon Computers and electronics in agriculture 154, 460-466, 2018 | 26 | 2018 |
| Sensory quality evaluation of rice using visible and shortwave near-infrared spectroscopy R Lapchareonsuk, P Sirisomboon International journal of food properties 18 (5), 1128-1138, 2015 | 26 | 2015 |
