Development of a smartphone-based lateral-flow imaging system using machine-learning classifiers for detection of Salmonella spp.

HJ Min, HA Mina, AJ Deering, E Bae - Journal of microbiological methods, 2021 - Elsevier
Salmonella spp. are a foodborne pathogen frequently found in raw meat, egg products, and
milk. Salmonella is responsible for numerous outbreaks, becoming a frequent major public …

Tomayto, tomahto: A machine learning approach for tomato ripening stage identification using pixel-based color image classification

MB Garcia, S Ambat, RT Adao - 2019 IEEE 11th International …, 2019 - ieeexplore.ieee.org
The main enterprise of the Philippine agriculture sector is crop cultivation where tomato is
deliberated as one of the major crops in the country. With the abundance on tomato …

Predictive framework development for user-friendly on-site glucose detection

V Kishnani, A Gupta - ACS Applied Bio Materials, 2023 - ACS Publications
This study explores a smartphone-based spot detection framework for glucose in a rapid,
simple, and affordable paper-based analytical device (PAD), which employs machine …

[HTML][HTML] Identification of Indian jujube varieties cultivated in Saudi Arabia using an artificial neural network

AM Al-Saif, M Abdel-Sattar, AM Aboukarima… - Saudi Journal of …, 2021 - Elsevier
This study aimed to develop a method for identifying different cultivars of Indian jujube fruits
(Ziziphus mauritiana Lamk.) based on a single Indian jujube fruit color and morphological …

Prediction system for pH measurement on Brassica oleraceae (Red Cabbage) using machine learning regression

DW Hastuti, M Harahap, FA Ferdiansyah… - Journal of Physics …, 2020 - iopscience.iop.org
Abstract pH is an important unit to represent the chemical condition of a liquid, solid
substance, food nutrition, and microbial activity as well. pH value is also commonly used to …

Классификация минеральных компонентов гранитоидов методами цифровой петрографии и машинного обучения

ЕА Василёнок - 2020 - elib.bsu.by
Методы машинного обучения стали применяться в петрографии сравнительно
недавно. Однако благодаря быстрому развитию программирования появляются более …

Automated solar-powered bot for identifying damage in vegetable fields using AI

K Tripathi, S Bhatt - Robotics and Smart Autonomous Systems, 2024 - taylorfrancis.com
In order to help farmers raise production, minimize crop damage, lower harvesting costs,
and other benefits, automation is becoming increasingly important in the Indian economy's …

Dielectric Spectral Profiles For Andean Tubers Classification: A Machine Learning Techniques Application

T Chuquizuta, J Oblitas, H Arteaga… - 2021 International …, 2021 - ieeexplore.ieee.org
Currently, the agri-food industry prioritizes the development of non-destructive methods,
such as dielectric spectroscopy, for quality control. The obtained dielectric spectral …