Yr2s: Efficient deep learning technique for detecting and classifying plant leaf diseases

C Madhurya, EA Jubilson - IEEE access, 2023 - ieeexplore.ieee.org
Most plant diseases have observable symptoms, and the widely used approach to recognize
plant leaf disease is by visually examining the affected plant leaves. A model that might …

Alpha-EIOU-YOLOv8: an improved algorithm for rice leaf disease detection

DC Trinh, AT Mac, KG Dang, HT Nguyen, HT Nguyen… - AgriEngineering, 2024 - mdpi.com
Early detection of plant leaf diseases is a major necessity for controlling the spread of
infections and enhancing the quality of food crops. Recently, plant disease detection based …

Bangladeshi crops leaf disease detection using YOLOv8

MSZ Abid, B Jahan, A Al Mamun, MJ Hossen… - Heliyon, 2024 - cell.com
The agricultural sector in Bangladesh is a cornerstone of the nation's economy, with key
crops such as rice, corn, wheat, potato, and tomato playing vital roles. However, these crops …

YOLO Network-Based for Detection of Rice Leaf Disease

F Aziz, F Ernawan, M Fakhreldin… - … and Innovation (ICITRI), 2023 - ieeexplore.ieee.org
In recent times, rice production in the agricultural sector has become increasingly
susceptible to crop failure due to various factors such as climate change, floods, droughts …

YOLOv1 to YOLOv10: A comprehensive review of YOLO variants and their application in the agricultural domain

MAR Alif, M Hussain - arXiv preprint arXiv:2406.10139, 2024 - arxiv.org
This survey investigates the transformative potential of various YOLO variants, from YOLOv1
to the state-of-the-art YOLOv10, in the context of agricultural advancements. The primary …

Classification of Defects in Robusta Green Coffee Beans Using YOLO

VAM Luis, MVT Quiñones… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Agriculture is one of the most prominent industries in the Philippines, and a branch of
agriculture includes coffee bean production. Extracting the coffee beans from their original …

Vehicle Type Classification and Counting Using YOLOv4 Algorithm

II Samuel, ALL Lucas, MV Caya - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
The study implements a system that detects, classify and count vehicles based on their body
type. Classifying and counting has proven to be beneficial when monitoring and managing …

Snail recognition using YOLO

JRI Borreta, JA Bautista… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Many species of snails inhabit different areas in the world. Some species have made their
way to farmlands and the urban regions, surviving through eating plants and breeding …

Chicken meat freshness classification based on VGG16 architecture

MBP Garcia, EA Labuac… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
The freshness and quality of the meat is one of the most important factors to consider. To
assess the standard quality these products, a certain level of knowledge is required. This …

Classification and Counting of Ships Using YOLOv5 Algorithm

RSS Suliva, CAA Valencia… - 2022 6th International …, 2022 - ieeexplore.ieee.org
Computer vision has been aiding various industries in making work efficient. In the case of
marine and ocean-related industries, climate change, greenhouse gasses, fishing …