Computer vision and machine learning applied in the mushroom industry: A critical review
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 …
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
The recent statistics on Agriculture identically remarks the massive contributions of
mushroom farming in the Global market. Thus, the popularity of mushroom farming and …
mushroom farming in the Global market. Thus, the popularity of mushroom farming and …
[HTML][HTML] Machine learning-based classification of mushrooms using a smartphone application
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 …
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 …
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
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 …
vitamins and minerals. Though nearly 45,000 species of mushrooms have been known …
[HTML][HTML] Verification study on how macrofungal fruitbody formation can be predicted by artificial neural network
K Somfalvi-Tóth, I Jócsák, F Pál-Fám - Scientific Reports, 2024 - nature.com
The occurrence and regularity of macrofungal fruitbody formation are influenced by
meteorological conditions; however, there is a scarcity of data about the use of machine …
meteorological conditions; however, there is a scarcity of data about the use of machine …
Mushroom classification using machine-learning techniques
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 …
of mushroom are poisonous (inedible), and because of its importance, we need to identify …
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 …
may be subject to bias. To improve the sorting efficiency, automated sorting equipment could …
A novel FMEA model using hybrid ANFIS–Taguchi method
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 …
failure, but it has many drawbacks. First of them is risk factors, severity, occurrence and …
Identifikasi Jenis Penyakit Daun Padi Menggunakan Adaptif Neuro Fuzzy Inferene System (Anfis) Berdasarkan Tekstur
RN Whidhiasih, I Ekawati - … NASIONAL ENERGI & …, 2019 - jurnal.unismabekasi.ac.id
Penyakit yang menyerang daun tanaman padi dapat mengakibatkan berkurangnya jumlah
produksi padi. Di sisi lain kestabilan produksi padi sebagai bahan makanan pokok harus …
produksi padi. Di sisi lain kestabilan produksi padi sebagai bahan makanan pokok harus …