[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 …

Classification and analysis of pistachio species with pre-trained deep learning models

D Singh, YS Taspinar, R Kursun, I Cinar, M Koklu… - Electronics, 2022 - mdpi.com
Pistachio is a shelled fruit from the anacardiaceae family. The homeland of pistachio is the
Middle East. The Kirmizi pistachios and Siirt pistachios are the major types grown and …

Dry bean cultivars classification using deep cnn features and salp swarm algorithm based extreme learning machine

M Dogan, YS Taspinar, I Cinar, R Kursun… - … and Electronics in …, 2023 - Elsevier
Since dry bean varieties have different qualities and economic values, their separation is of
great importance in the field of agriculture. In recent years, the use of artificial intelligence …

Application of machine vision in food computing: A review

Z Zhao, R Wang, M Liu, L Bai, Y Sun - Food Chemistry, 2024 - Elsevier
With global intelligence advancing and the awareness of sustainable development growing,
artificial intelligence technology is increasingly being applied to the food industry. This …

A comparative evaluation of Bayes, functions, trees, meta, rules and lazy machine learning algorithms for the discrimination of different breeding lines and varieties of …

V Slavova, E Ropelewska, K Sabanci, MF Aslan… - … Food Research and …, 2022 - Springer
The objective of this study was to compare the usefulness of machine learning algorithms for
distinguishing the potato lines and varieties based on selected fluorescence spectroscopic …

Use of Python Modules in Ecological Research

SK Rajamani, RS Iyer - Perspectives on the Transition Toward Green …, 2023 - igi-global.com
Python is a popular programming language in the field of ecology and environmental
research. Python is simple to use, has a sizable and active user community, and offers a …

Recognition of Pistachio Species with Transfer Learning Models

F Patel, S Mewada, S Degadwala… - … Conference on Self …, 2023 - ieeexplore.ieee.org
This comprehensive research delves into the intricate task of recognizing diverse pistachio
species, spanning applications in agriculture, ecology, and the food industry. By harnessing …

A comparative study of optimization algorithms for feature selection on ML-based classification of agricultural data

Z Garip, E Ekinci, ME Çimen - Cluster Computing, 2024 - Springer
In today's world, agricultural production and operation activities generate a lot of data. As a
result, computer-aided agriculture applications have become a hot topic in the study, with …

Investigations on Feature Ranking Algorithms for Date Fruit Genotype Detection

MV Subbarao, ULS Rani, VH Mythreya… - 2023 8th …, 2023 - ieeexplore.ieee.org
Post-harvest industrial processes serve as essential for preserving the economic worth of an
agricultural crop. For the separation and categorization of date fruits to be more effective …

Using machine learning algorithms to detect milk quality

A Çelik - Eurasian Journal of Food Science and Technology, 2022 - dergipark.org.tr
Machine learning algorithms are used successfully in many sectors. The data formed by the
development of digital technology are analyzed with machine learning algorithms and …