[HTML][HTML] Visual intelligence in precision agriculture: Exploring plant disease detection via efficient vision transformers

S Parez, N Dilshad, NS Alghamdi, TM Alanazi, JW Lee - Sensors, 2023 - mdpi.com
In order for a country's economy to grow, agricultural development is essential. Plant
diseases, however, severely hamper crop growth rate and quality. In the absence of domain …

[HTML][HTML] Visual Intelligence in Smart Cities: A Lightweight Deep Learning Model for Fire Detection in an IoT Environment

M Nadeem, N Dilshad, NS Alghamdi, LM Dang… - Smart Cities, 2023 - mdpi.com
The recognition of fire at its early stages and stopping it from causing socioeconomic and
environmental disasters remains a demanding task. Despite the availability of convincing …

Efficient agricultural pest classification using vision transformer with hybrid pooled multihead attention

T Saranya, C Deisy, S Sridevi - Computers in Biology and Medicine, 2024 - Elsevier
Accurate pest classification plays a pivotal role in modern agriculture for effective pest
management, ensuring crop health and productivity. While Convolutional Neural Networks …

[HTML][HTML] A Novel Network Framework on Simultaneous Road Segmentation and Vehicle Detection for UAV Aerial Traffic Images

M Xiao, W Min, C Yang, Y Song - Sensors, 2024 - mdpi.com
Unmanned Aerial Vehicle (UAV) aerial sensors are an important means of collecting ground
image data. Through the road segmentation and vehicle detection of drivable areas in UAV …

[HTML][HTML] Efficient Fire Detection with E-EFNet: A Lightweight Deep Learning-Based Approach for Edge Devices

H Farman, MM Nasralla, SBA Khattak, B Jan - Applied Sciences, 2023 - mdpi.com
Fire detection employing vision sensors has drawn significant attention within the computer
vision community, primarily due to its practicality and utility. Previous research …

[HTML][HTML] Automatic Recognition and Quantification Feeding Behaviors of Nursery Pigs Using Improved YOLOV5 and Feeding Functional Area Proposals

Y Luo, J Xia, H Lu, H Luo, E Lv, Z Zeng, B Li, F Meng… - Animals, 2024 - mdpi.com
Simple Summary In commercial-intensive pig farms, the identification and quantification of
piglet feeding behavior is an important indicator for daily inspections. However, the model …

Deep learning technique for plant disease detection

TS Adekunle, MO Lawrence, OO Alabi… - Computer Science and …, 2024 - iaesprime.com
A nation's economy is primarily reliant on agricultural growth. However, several plant
diseases seriously impair crop growth, both in terms of quantity and quality. Due to a lack of …

[HTML][HTML] A Two-Stage Automatic Container Code Recognition Method Considering Environmental Interference

M Yu, S Zhu, B Lu, Q Chen, T Wang - Applied Sciences, 2024 - mdpi.com
Automatic Container Code Recognition (ACCR) is critical for enhancing the efficiency of
container terminals. However, existing ACCR methods frequently fail to achieve satisfactory …

Hybrid CNN & Random Forest Model for Effective Turmeric Leaf Disease Diagnosis

D Banerjee, V Kukreja, D Bordoloi… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
This study dives into the classification of turmeric leaf diseases to enhance the field of
agriculture and crop health management. Turmeric, a major agricultural commodity, is …

Tomato Leaf Disease Detection and Classification using MobileNetV2 and Extreme Learning Method: A Hybrid Approach

M Srivastava, V Sisaudia… - 2023 10th International …, 2023 - ieeexplore.ieee.org
Tomatoes are one of the most essential vegetables in the world. It is regarded as a pillar of
many countries' economies. However, tomato leaf is susceptible to a variety of diseases that …