Application of Artificial Intelligence in Food Processing: Current Status and Future Prospects

T Bidyalakshmi, B Jyoti, SM Mansuri… - Food Engineering …, 2024 - Springer
Artificial intelligence (AI) is a cutting-edge technology that emulates human-like intelligence
or human brain-like cognitive abilities. Through AI, machines have become capable of …

A bibliometric review of geospatial analyses and artificial intelligence literature in agriculture

A Karmaoui, S El Jaafari, H Chaachouay, L Hajji - GeoJournal, 2023 - Springer
The future of agriculture may be fully realized using knowledge of artificial intelligence (AI)
accumulated by human expertise. With increasing climate change and population pressure …

[HTML][HTML] Preliminary study non-destructive sorting techniques for pepper (Capsicum annuum L.) using odor parameter

M Rasekh, H Karami, S Fuentes, M Kaveh, R Rusinek… - LWT, 2022 - Elsevier
Almost all fruits and vegetables sold in modern society are sorted and labeled, making it
easier for customers to recognize the quality of the product, leading to more regular …

Nondestructive technique for identifying adulteration and additives in lemon juice based on analyzing volatile organic compounds (VOCs)

N Mohammadian, AM Ziaiifar, E Mirzaee-Ghaleh… - Processes, 2023 - mdpi.com
In light of the frequent occurrence of counterfeit food sold in global commercial markets, it is
necessary to verify the authenticity of tasty natural-plant-based products by checking their …

Deep learning for automated fish grading

J Jayasundara, R Ramanayake, H Senarath… - Journal of Agriculture …, 2023 - Elsevier
Fish is a staple food around the globe, and its quality is heavily dependent on freshness.
The conventional method for evaluating the quality of fish is through a visual inspection of a …

[PDF][PDF] Crop detection and maturity classification using a yolov5-based image analysis

V Moya, A Quito, A Pilco, JP Vásconez… - Emerging Science …, 2024 - repositorio.unab.cl
In recent years, the accurate identification of chili maturity stages has become essential for
optimizing cultivation processes. Conventional methodologies, primarily reliant on manual …

Deep learning model yolov5 for red chilies detection from chilly crop images

PPVS Ram, KVS Yaswanth, S Kamepalli… - 2023 IEEE 8th …, 2023 - ieeexplore.ieee.org
The agriculture industry has been facing a growing challenge with the rising cost of labor in
recent years. A large portion of the expenses incurred in agriculture goes towards employing …

A Framework for Chili Fruits Maturity Estimation using Deep Convolutional Neural Network.

MN Zainudin, N HUSSIN, WH Saad… - Przeglad …, 2021 - search.ebscohost.com
English An agriculture robot has been demanded in recent years. Inaccurate in estimating
the maturity of the chili always happens since the human eyes are tend to prone to errors …

Analysis on localization and prediction of depth chili fruits images using YOLOv5

MNS Zainudin, MSSS Azlan, LL Yin… - International …, 2022 - search.proquest.com
Chili fruits are essential ingredients that Malaysians consider essential for cooking. Adding
chili to a dish used to produce a second fiery flavour. In south-western Ecuador, one of the …

Evaluating CNN Models and Optimization Techniques for Quality Classification of Dried Chili Peppers (Capsicum annuum L.).

C Guerrero-Mendez, D Navarro-Solís… - International …, 2024 - search.ebscohost.com
Abstract This paper analyzes Convolutional Neural Network (CNN) models for classifying
dried chili pepper quality. The models categorize images into five categories:" Extra"," First …