[HTML][HTML] Fruit ripeness classification: A survey

M Rizzo, M Marcuzzo, A Zangari, A Gasparetto… - Artificial Intelligence in …, 2023 - Elsevier
Fruit is a key crop in worldwide agriculture feeding millions of people. The standard supply
chain of fruit products involves quality checks to guarantee freshness, taste, and, most of all …

Present and future scopes and challenges of plant pest and disease (P&D) monitoring: Remote sensing, image processing, and artificial intelligence perspectives

HM Abdullah, NT Mohana, BM Khan, SM Ahmed… - Remote Sensing …, 2023 - Elsevier
Since the dawn of agriculture, farmers have been at the stake of dealing with pests and
diseases. Chemical pesticides are a reliable source of controlling pests and pathogens, but …

[HTML][HTML] Biophotonics in food technology: Quo vadis?

J Karlo, R Prasad, SP Singh - Journal of Agriculture and Food Research, 2023 - Elsevier
In the race for feeding the growing population and making a commercial profit, food that is
our daily need is manipulated and adulterated in many ways. Food forgery is real, and can …

A methodological review of fluorescence imaging for quality assessment of agricultural products

A Momin, N Kondo, DF Al Riza, Y Ogawa, D Obenland - Agriculture, 2023 - mdpi.com
Currently, optical imaging techniques are extensively employed to automatically sort
agricultural products based on various quality parameters such as size, shape, color …

Optical methods for the detection of plant pathogens and diseases

SV Gudkov, TA Matveeva, RM Sarimov, AV Simakin… - Agriengineering, 2023 - mdpi.com
Plant diseases of an infectious nature are the reason for major economic losses in
agriculture throughout the world. The early, rapid and non-invasive detection of diseases …

Deep learning-based robust analysis of laser bio-speckle data for detection of fungal-infected soybean seeds

N Kaler, V Bhatia, AK Mishra - IEEE Access, 2023 - ieeexplore.ieee.org
Seed-borne diseases play a crucial role in affecting the overall quality of seeds, efficient
disease management, and crop productivity in agriculture. Detection of seed-borne diseases …

[HTML][HTML] Rapid identification of counterfeited beef using deep learning-aided spectroscopy: Detecting colourant and curing agent adulteration

E Jo, Y Lee, Y Lee, J Baek, JG Kim - Food and Chemical Toxicology, 2023 - Elsevier
The adulteration of meat products using colourants and curing agents has heightened
concerns over food safety, thereby necessitating the development of advanced detection …

Post-heating Fluorescence-based Alteration and Adulteration Detection of Extra Virgin Olive Oil

O Hamdy, HS Mohammed - Journal of Fluorescence, 2023 - Springer
Olive oils are more expensive compared with other vegetable oils. Therefore, adulterating
such expensive oil is prevalent. The traditional methods for olive oil adulteration detection …

Modern physical methods and technologies in agriculture

SV Gudkov, RM Sarimov, ME Astashev… - Phys. Uspekhi, 2024 - ufn.ru
The review presents both new theoretical and practical results of the application of modern
physical methods and technologies in agriculture. Physical technologies and materials for …

Development of an Optical System with an Orientation Module to Detect Surface Damage to Potato Tubers

A Dorokhov, A Aksenov, A Sibirev, D Hort, M Mosyakov… - Agriculture, 2023 - mdpi.com
This method is a variant of non-destructive multiparametric surface analysis and includes the
implementation of hyperspectral and RGB image processing approaches from different …