[HTML][HTML] Facilitated machine learning for image-based fruit quality assessment

M Knott, F Perez-Cruz, T Defraeye - Journal of Food Engineering, 2023 - Elsevier
Image-based machine learning models can be used to make the sorting and grading of
agricultural products more efficient. In many regions, implementing such systems can be …

Computer vision for plant pathology: A review with examples from cocoa agriculture

JR Sykes, KJ Denby, DW Franks - Applications in Plant …, 2024 - Wiley Online Library
Plant pathogens can decimate crops and render the local cultivation of a species
unprofitable. In extreme cases this has caused famine and economic collapse. Timing is vital …

Benchmarking analysis of CNN models for bread wheat varieties

A Yasar - European Food Research and Technology, 2023 - Springer
Most of the wheat produced and consumed worldwide is generally bread wheat and is used
for bread making. Bread wheat varieties can affect the quality of bread. When comparing …

Portable near infrared (NIR) spectrometer coupled with machine learning to classify milk with subclinical mastitis

E da Silva Pereira, JP Cruz-Tirado, BL Crippa… - Food Control, 2024 - Elsevier
Milk is one of the traditional foods in the human diet. However, subclinical mastitis infection
in cows could compromise the nutritional composition of milk as well as the consumer safety …

A comparative study of bread wheat varieties identification on feature extraction, feature selection and machine learning algorithms

S Kılıçarslan, S Kılıçarslan - European Food Research and Technology, 2024 - Springer
Wheat is unquestionably the primary source of sustenance in human dietary intake. The
cultivation areas and production capacity of wheat worldwide have been observed to …

[HTML][HTML] An intelligent cocoa quality testing framework based on deep learning techniques

R Essah, D Anand, S Singh - Measurement: Sensors, 2022 - Elsevier
The export of cocoa beans is economically significant in Ghana and numerous other tropical
nations. Before the cocoa beans can be processed into finished goods, they must undergo a …

A comparative study of deep learning methods for food classification with images

G Suddul, JFL Seguin - Food and Humanity, 2023 - Elsevier
The monitoring of food intake plays a key role in avoiding different health problems such as
diseases, but also difficulties linked with mental and physical wellbeing. Food monitoring …

Interpretation and explanation of computer vision classification of carambola (Averrhoa carambola L.) according to maturity stage

IA de Moraes, SB Junior, DF Barbin - Food Research International, 2024 - Elsevier
The classification of carambola, also known as starfruit, according to quality parameters is
usually conducted by trained human evaluators through visual inspections. This is a costly …

Classification of hazelnut varieties based on bigtransfer deep learning model

E Dönmez, S Kılıçarslan, A Diker - European Food Research and …, 2024 - Springer
Hazelnut is an agricultural product that contributes greatly to the economy of the countries
where it is grown. The human factor plays a major role in hazelnut classification. The typical …