Computer vision and machine learning applied in the mushroom industry: A critical review

H Yin, W Yi, D Hu - Computers and electronics in agriculture, 2022 - Elsevier
Background Mushrooms are popular food items containing numerous vitamins, dietary
fibers, and a large number of proteins. As a result, mushrooms can increase the body's …

[HTML][HTML] IoT enabled mushroom farm automation with Machine Learning to classify toxic mushrooms in Bangladesh

H Rahman, MO Faruq, TBA Hai, W Rahman… - Journal of agriculture …, 2022 - Elsevier
The recent statistics on Agriculture identically remarks the massive contributions of
mushroom farming in the Global market. Thus, the popularity of mushroom farming and …

APHS-YOLO: A Lightweight Model for Real-Time Detection and Classification of Stropharia Rugoso-Annulata

RM Liu, WH Su - Foods, 2024 - mdpi.com
The classification of Stropharia rugoso-annulata is currently reliant on manual sorting, which
may be subject to bias. To improve the sorting efficiency, automated sorting equipment could …

[HTML][HTML] Machine learning-based classification of mushrooms using a smartphone application

JJ Lee, MC Aime, B Rajwa, E Bae - Applied Sciences, 2022 - mdpi.com
Worldwide, a large number of cases of harmful mushroom exposure and consumption result
in hallucinations, sickness, and death. One contributing factor is that certain poisonous …

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] Edibility detection of mushroom using ensemble methods

NJ Pinky, SM Islam, RS Alice - International Journal of Image …, 2019 - academia.edu
Mushrooms are the most familiar delicious food which is cholesterol free as well as rich in
vitamins and minerals. Though nearly 45,000 species of mushrooms have been known …

Mushroom classification using machine-learning techniques

O Tarawneh, M Tarawneh, Y Sharrab… - AIP Conference …, 2023 - pubs.aip.org
Mushroom is one of the important ingredient in our food that has good nutrients. Most types
of mushroom are poisonous (inedible), and because of its importance, we need to identify …

[HTML][HTML] Sugarcane bagasse adsorption evaluation and application on BOD and COD removal from textile wastewater treatment

D Abdissa, K Beyecha - 2021 - watconman.org
Pesticides are widely used in homes, industries and agricultural sector, and can travel
through water and the air to pollute places far from their point source. Pesticides can find …

A novel FMEA model using hybrid ANFIS–Taguchi method

S Boran, SH Gökler - Arabian Journal for Science and Engineering, 2020 - Springer
Failure mode and effects analysis (FMEA) is a useful method to analyze and then prioritize
failure, but it has many drawbacks. First of them is risk factors, severity, occurrence and …

Mushroom classification using random forest and REP tree classifiers

N Paudel, J Bhatta - Nepal Journal of Mathematical Sciences, 2022 - nepjol.info
Mushroom is a popular fruit of a much larger fungus that has a high level of protein and a
rich source of vitamin B. It aids in the prevention of cancer, weight loss, and immune system …