Computer vision classification of dry beans (Phaseolus vulgaris L.) based on deep transfer learning techniques

YS Taspinar, M Dogan, I Cinar, R Kursun… - … Food Research and …, 2022 - Springer
There are many types of haricot beans, the nutrient consumed all over the world. Each type
differs in terms of features such as taste, size, economic value, etc. But even if they are …

A review of the opportunities for spectral‐based technologies in post‐harvest testing of pulse grains

L McDonald, J Panozzo - Legume Science, 2023 - Wiley Online Library
Pulse grains are phenotypically diverse varying in colour, size, shape, and uniformity and
have been integrated within many cultures and cuisines for several thousand years …

[HTML][HTML] Image processing techniques to estimate weight and morphological parameters for selected wheat refractions

R Sharma, M Kumar, MS Alam - Scientific Reports, 2021 - nature.com
The geometric and color features of agricultural material along with related physical
properties are critical to characterize and express its physical quality. The experiments were …

Effect of active coating containing radish leaf extract with or without vacuum packaging on the postharvest changes of sweet lemon during cold storage

M Zandi, A Ganjloo, M Bimakr, N Moradi… - Journal of Food …, 2021 - Wiley Online Library
The main objective of the current research was to evaluate the effect of alginate‐based
coating containing radish leaf extract (5% and 10% wt/vol) as an active coating with or …

An intelligent computer vision system for vegetables and fruits quality inspection using soft computing techniques

VG Narendra - Agricultural Engineering International: CIGR Journal, 2019 - cigrjournal.org
The quality of food products is very important for the human health. The large population and
the increased requirements of food products makes it difficult to arrive the desired quality …

[HTML][HTML] High-throughput legume seed phenotyping using a handheld 3D laser scanner

X Huang, S Zheng, N Zhu - Remote Sensing, 2022 - mdpi.com
High-throughput phenotyping involves many samples and diverse trait types. For the goal of
automatic measurement and batch data processing, a novel method for high-throughput …

Image-based rapid phenotyping of chickpeas seed size

S Sankaran, M Wang, GJ Vandemark - Engineering in agriculture …, 2016 - jstage.jst.go.jp
abstract In chickpeas, the seed size is a critical phenotype that needs to be evaluated
carefully during variety development. The sieve analysis used for determining seed size …

[HTML][HTML] Genetic analysis of cassava brown streak disease root necrosis using image analysis and genome-wide association studies

L Nandudu, C Strock, A Ogbonna, R Kawuki… - Frontiers in Plant …, 2024 - frontiersin.org
Cassava brown streak disease (CBSD) poses a substantial threat to food security. To
address this challenge, we used PlantCV to extract CBSD root necrosis image traits from …

[HTML][HTML] Determination of characteristic properties of mulatto beans (Phaseolus vulgaris L.) during convective drying

HM Lisboa, H Araujo, G Paiva, S Oriente… - Journal of Agriculture …, 2019 - Elsevier
Mulatto beans (Phaseolus vulgaris L.) require proper drying for safe transport and storage.
To support the drying process design, the objective of this work was to determine the mass …

[HTML][HTML] A novel hybrid-view technique for accurate mass estimation of kimchi cabbage using computer vision

HI Yang, SG Min, JH Yang, JB Eun… - Journal of Food …, 2024 - Elsevier
This study addresses the accurate estimation of kimchi cabbage mass, as cabbage leaves
exhibit size variability and complex leaf structures. Conventional mass estimation methods …