A sugar beet leaf disease classification method based on image processing and deep learning

K Adem, MM Ozguven, Z Altas - Multimedia Tools and Applications, 2023 - Springer
Leaf spot disease, which causes 10− 50% loss in sugar beet yield, causes great damage on
the leaves. This disease physiologically appears as individual circular spots on the sugar …

Allergen30: detecting food items with possible allergens using deep learning-based computer vision

M Mishra, T Sarkar, T Choudhury, N Bansal… - Food Analytical …, 2022 - Springer
Food allergies impose a significant health concern on the community. A small number of
certain food items can cause an allergic reaction within the human body. The symptoms can …

Black gram disease classification using a novel deep convolutional neural network

S Talasila, K Rawal, G Sethi - Multimedia Tools and Applications, 2023 - Springer
Black gram, the king of pulses, also known as Urad in India, where it is cultivated from
ancient times. India is the largest cultivator of black gram crop globally, and its production is …

[PDF][PDF] Automatic detection and classification of some vineyard diseases with faster R-CNN model.

Z Altaş, MM Özgüven, K Adem - 2023 - researchgate.net
Türkiye is one of the countries with the most important vineyard areas in the world, where the
most grape production is made. Vineyard diseases are one of the most important reasons …

Advanced Tomato Disease Detection Using the Fusion of Multiple Deep-Learning and Meta-Learning Techniques

H Catal Reis - Journal of Crop Health, 2024 - Springer
Automatic and early detection of diseases in crops is important for producers in terms of
product yield. Methods are needed to diagnose the disease and select interventions for …

Bazı Bağ Hastalıklarının Faster R-CNN Modeli ile Otomatik Tespit Edilmesi ve Sınıflandırılması

Z Altaş, MM Özgüven, K Adem - Turkish Journal of Agriculture …, 2023 - agrifoodscience.com
Türkiye is one of the countries with the most important vineyard areas in the world, where the
most grape production is made. Vineyard diseases are one of the most important reasons …