Prediction of Pistachio (Pistacia vera L.) Mass Based on Shape and Size Attributes by Using Machine Learning Algorithms

C Saglam, N Cetin - Food Analytical Methods, 2022 - Springer
Size, mass, and shape attributes play a significant role in the quality assessment and post-
harvest technologies of agricultural products. Pistachio is widely consumed worldwide, and …

Prediction of size and mass of pistachio kernels using random Forest machine learning

SK Vidyarthi, R Tiwari, SK Singh… - Journal of Food Process …, 2020 - Wiley Online Library
The size and mass of the pistachio kernels are important parameters in pistachio industry
worldwide, which are generally associated with pistachio classification and consumer's …

[HTML][HTML] Application of artificial neural network and support vector regression in predicting mass of ber fruits (Ziziphus mauritiana Lamk.) based on fruit axial …

M Abdel-Sattar, AM Aboukarima, BM Alnahdi - Plos one, 2021 - journals.plos.org
Fruit quality attributes are important factors for designing a market for agricultural goods and
commodities. Support vector regression (SVR), MLR, and ANN models were established to …

Mass modeling of Fava bean (vicia faba L.) with some physical characteristics

AN Lorestani, M Ghari - Scientia Horticulturae, 2012 - Elsevier
Fruits and vegetables with the similar weight and uniform shape are in high demand in terms
of marketing value. Therefore, an awareness of grading fruits and vegetables based on …

Mass modeling of potato cultivars with different shape index by physical characteristics

E Altuntas, MK Mahawar - Journal of Food Process …, 2022 - Wiley Online Library
The correlation between physical parameters like linear dimensions, projected areas,
volumes, and mass of potato cultivars is imperative for predicting the quality besides the …

Machine learning based mass prediction and discrimination of chickpea (Cicer arietinum L.) cultivars

N Çetin, H Ozaktan, S Uzun, O Uzun, CY Ciftci - Euphytica, 2023 - Springer
Chickpea is an important edible legume that can be grown in rain fed conditions. Image
analysis and machine learning could be used for rapid and non-destructive determination of …

Mass modeling of fig (Ficus carica L.) fruit with some physical characteristics

F Shahbazi, S Rahmati - Food Science & Nutrition, 2013 - Wiley Online Library
Horticultural crops with the similar weight and uniform shape are in high demand in terms of
marketing value, which are used as food. For proper design of grading systems, important …

Models for predicting the mass of apricot fruits by geometrical attributes (cv. Shams, Nakhjavan, and Jahangiri)

M Naderi-Boldaji, R Fattahi… - Scientia …, 2008 - Elsevier
Fruits with the similar weight and uniform shape are in high demand in terms of marketing
value. Therefore, an awareness of grading fruit based on weight is crucial. A part of this …

Mass modeling of cantaloupe based on geometric attributes: A case study for Tile Magasi and Tile Shahri

E Seyedabadi, M Khojastehpour, H Sadrnia… - Scientia …, 2011 - Elsevier
Grading which results in easier fruit packaging not only reduces the waste but also
increases the marketing value of agricultural products. The knowledge on existing …

Mass modeling of persimmon fruit with some physical characteristics

F Shahbazi, S Rahmati - Agricultural Engineering International: CIGR …, 2014 - cigrjournal.org
For proper design of grading systems of horticultural crops, important relationships between
the mass and other properties of fruits such as length, width, thickness, volumes and …