2,635
Views
22
CrossRef citations to date
0
Altmetric
Original Articles

Identifying Potato Varieties Using Machine Vision and Artificial Neural Networks

, , &
Pages 618-635 | Received 15 Nov 2014, Accepted 05 Apr 2015, Published online: 02 Dec 2015

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (5)

Salman Qadri, Syed Furqan Qadri, Mujtaba Husnain, Malik Muhammad Saad Missen, Dost Muhammad Khan, Muzammil-Ul-Rehman, Abdul Razzaq & Saleem Ullah. (2019) Machine vision approach for classification of citrus leaves using fused features. International Journal of Food Properties 22:1, pages 2072-2089.
Read now
Maryam Soltanikazemi & Saman Abdanan Mehdizadeh. (2017) Classification of bitter and sweet olives using image processing and artificial neural networks during curing process in brine and water environments. International Journal of Food Properties 20:sup2, pages 1954-1964.
Read now
Xingbao Tao, Wei Peng, Dashuai Xie, Chongbo Zhao & Chunjie Wu. (2017) Quality evaluation of Hanyuan Zanthoxylum bungeanum Maxim. Using computer vision system combined with artificial neural network: A novel method. International Journal of Food Properties 20:12, pages 3056-3063.
Read now
Facundo Pieniazek & Valeria Messina. (2017) Texture and color analysis of freeze-dried potato (cv. Spunta) using instrumental and image analysis techniques. International Journal of Food Properties 20:6, pages 1422-1431.
Read now
Javd Khazaei, Iman Golpour & Parviz Ahmadi Moghaddam. (2016) Evaluation of Statistical and Neural Network Architectures for the Classification of Paddy Kernels Using Morphological Features. International Journal of Food Properties 19:6, pages 1227-1241.
Read now

Articles from other publishers (17)

Krishna Kumar Rai. (2022) Integrating speed breeding with artificial intelligence for developing climate-smart crops. Molecular Biology Reports 49:12, pages 11385-11402.
Crossref
Krzysztof Przybył, Jolanta Wawrzyniak, Katarzyna Samborska, Łukasz Gierz, Krzysztof Koszela & Marek Szychta. (2022) Application of artificial neural networks in recognizing carrier based on the color of raspberry powders obtained in the spray-drying process. Application of artificial neural networks in recognizing carrier based on the color of raspberry powders obtained in the spray-drying process.
Yongbo Yu, Hong Jiang, Xiangfeng Zhang & Yutong Chen. (2022) Identifying Irregular Potatoes Using Hausdorff Distance and Intersection over Union. Sensors 22:15, pages 5740.
Crossref
Vanya Slavova, Ewa Ropelewska, Kadir Sabanci, Muhammet Fatih Aslan & Emilia Nacheva. (2022) A comparative evaluation of Bayes, functions, trees, meta, rules and lazy machine learning algorithms for the discrimination of different breeding lines and varieties of potato based on spectroscopic data. European Food Research and Technology 248:7, pages 1765-1775.
Crossref
Omer Keles. (2021) Classification of hazelnut varieties by using artificial neural network and discriminant analysis. Spanish Journal of Agricultural Research 19:4, pages e0211-e0211.
Crossref
Ali Mirzazadeh, Afshin Azizi, Yousef Abbaspour-Gilandeh, José Luis Hernández-Hernández, Mario Hernández-Hernández & Iván Gallardo-Bernal. (2021) A Novel Technique for Classifying Bird Damage to Rapeseed Plants Based on a Deep Learning Algorithm. Agronomy 11:11, pages 2364.
Crossref
Adel M. Al-Saif, Mahmoud Abdel-Sattar, Abdulwahed M. Aboukarima & Dalia H. Eshra. (2021) Identification of Indian jujube varieties cultivated in Saudi Arabia using an artificial neural network. Saudi Journal of Biological Sciences 28:10, pages 5765-5772.
Crossref
Ali Khorramifar, Mansour Rasekh, Hamed Karami, Urszula Malaga-Toboła & Marek Gancarz. (2021) A Machine Learning Method for Classification and Identification of Potato Cultivars Based on the Reaction of MOS Type Sensor-Array. Sensors 21:17, pages 5836.
Crossref
Md. Nuruzzaman, Md. Shahadat Hossain, Md. Mostafijur Rahman, Ahete Shamul Haque Chowdhury Shoumik, Md. Abbas Ali Khan & Md. Tarek Habib. (2021) Machine Vision Based Potato Species Recognition. Machine Vision Based Potato Species Recognition.
Ewa Ropelewska. (2021) Effect of boiling on classification performance of potatoes determined by computer vision. European Food Research and Technology 247:4, pages 807-817.
Crossref
Junfeng Gao, Jesper Cairo Westergaard & Erik Alexandersson. 2021. Solanum tuberosum. Solanum tuberosum 273 299 .
G. Astray, B.R. Albuquerque, M.A. Prieto, J. Simal-Gandara, I.C.F.R. Ferreira & L. Barros. (2020) Stability assessment of extracts obtained from Arbutus unedo L. fruits in powder and solution systems using machine-learning methodologies. Food Chemistry 333, pages 127460.
Crossref
Mohsen Niazian & Gniewko Niedbała. (2020) Machine Learning for Plant Breeding and Biotechnology. Agriculture 10:10, pages 436.
Crossref
Manuel Alonso-Ferrer, Gonzalo Astray Dopazo & Juan Carlos Mejuto. 2020. Application of Expert Systems - Theoretical and Practical Aspects. Application of Expert Systems - Theoretical and Practical Aspects.
Cecilia Martinez‐Castillo, Gonzalo Astray, Juan Carlos Mejuto & Jesus Simal‐Gandara. (2019) Random Forest, Artificial Neural Network, and Support Vector Machine Models for Honey Classification. eFood 1:1, pages 69-76.
Crossref
K. Przybył, J. Gawałek, K. Koszela, J. Wawrzyniak & L. Gierz. (2018) Artificial neural networks and electron microscopy to evaluate the quality of fruit and vegetable spray-dried powders. Case study: Strawberry powder. Computers and Electronics in Agriculture 155, pages 314-323.
Crossref
Mustafa Ayyıldız & Kerim Çetinkaya. (2016) Predictive modeling of geometric shapes of different objects using image processing and an artificial neural network. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 231:6, pages 1206-1216.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.