A deep learning-based approach for edible, inedible and poisonous mushroom classification

N Zahan, MZ Hasan, MA Malek… - … on information and …, 2021 - ieeexplore.ieee.org
Mushroom is one of the fungi types' food that has the most powerful nutrients on the plant.
Nevertheless, the identification of edible, inedible and poisonous mushrooms among its …

Visualization and classification of mushroom species with multi-feature fusion of metaheuristics-based convolutional neural network model

E Özbay, FA Özbay, FS Gharehchopogh - Applied Soft Computing, 2024 - Elsevier
Determining the correct mushroom species with the necessary ecological characteristics is
critical to continue mushroom production, which is essential in gastronomy. The mushroom …

Poisonous mushroom detection using YOLOV5

E Cengil, A Çınar - Turkish Journal of Science and Technology, 2021 - dergipark.org.tr
Mushroom is a nutritious food that is grown and consumed in many countries around the
world. It is preferred for consumption due to its easy acquisition, the benefit to human health …

Mushroom data creation, curation, and simulation to support classification tasks

D Wagner, D Heider, G Hattab - Scientific reports, 2021 - nature.com
Predicting if a set of mushrooms is edible or not corresponds to the task of classifying them
into two groups—edible or poisonous—on the basis of a classification rule. To support this …

Automatic mushroom species classification model for foodborne disease prevention based on vision transformer

B Wang - Journal of Food Quality, 2022 - Wiley Online Library
Mushrooms are the fleshy, spore‐bearing structure of certain fungi, produced by a group of
mycelia and buried in a substratum. Mushrooms are classified as edible, medicinal, and …

[PDF][PDF] Analysis of performance of classification algorithms in mushroom poisonous detection using confusion matrix analysis

J Ortega, AC Lagman, LRQ Natividad… - International …, 2020 - academia.edu
Mushroom possesses potential benefits in terms of antioxidants, which are essential to the
body. There are various health benefits one can get on consuming mushrooms, but not all …

[HTML][HTML] A low-cost centralized IoT ecosystem for enhancing oyster mushroom cultivation

DP Guragain, B Shrestha, I Bajracharya - Journal of Agriculture and Food …, 2024 - Elsevier
The consumption of mushrooms has skyrocketed in recent years worldwide. The majority of
farmers in developing countries still rely on the traditional approach to mushroom cultivation …

Implementasi Metode CNN Dalam Klasifikasi Gambar Jamur Pada Analisis Image Processing (Studi Kasus: Gambar Jamur Dengan Genus Agaricus Dan Amanita)

ON Putri - 2020 - dspace.uii.ac.id
Jamur adalah tumbuhan tanpa klorofil dan hidup bergantung dengan makhluk hidup
lainnya. Terdapat lebih dari 1.500. 000 spesies jamur di dunia dan hanya sekitar 74.000 …

[PDF][PDF] Risk level prediction of life insurance applicant using machine learning

BJ Hutagaol, T Mauritsius - … Journal of Advanced Trends in Computer …, 2020 - academia.edu
This study aims to examine how machine learning can help life insurance companies like
PT. XYZ to determine the level of risk of prospective customers. One of the main objectives of …

Mushroom image classification with CNNs: A case-study of different learning strategies

N Kiss, L Czùni - 2021 12th International Symposium on Image …, 2021 - ieeexplore.ieee.org
Picking mushrooms is traditionally a popular hobby for many people, on the other hand,
image based mushroom recognition is a great challenge for machine learning methods due …