Segmentation and detection of crop pests using novel U‐Net with hybrid deep learning mechanism

N Biradar, G Hosalli - Pest Management Science, 2024 - Wiley Online Library
OBJECTIVE In India, agriculture is the backbone of economic sectors because of the
increasing demand for agricultural products. However, agricultural production has been …

Artificial neuronal networks are revolutionizing entomological research

M Hartbauer - Journal of Applied Entomology, 2024 - Wiley Online Library
The application of artificial intelligence (AI) in entomological research has gained significant
attention in recent years. This review summarizes the current state of research on the …

DeepLeaf: Revolutionizing Rice Disease Detection and Classification using Convolutional Neural Networks and Random Forest Hybrid Model

V Kukreja, R Sharma, S Vats… - 2023 14th International …, 2023 - ieeexplore.ieee.org
Rice hispa disease is a severe risk to agricultural production and can result in considerable
reductions in crop yield. It is necessary, to put into practice efficient management techniques …

Early-Stage Pine Wilt Disease Detection via Multi-Feature Fusion in UAV Imagery

W Xie, H Wang, W Liu, H Zang - Forests, 2024 - mdpi.com
Pine wilt disease (PWD) is a highly contagious and devastating forest disease. The timely
detection of pine trees infected with PWD in the early stage is of great significance to …

Innovative lightweight deep learning architecture for enhanced rice pest identification

H Song, Y Yan, S Deng, C Jian… - Physica …, 2024 - pubishingsupport.iopscience.iop.org
Pest detection is a crucial aspect of rice production. Accurate and timely identification of rice
pests can assist farmers in taking prompt measures for control. To enhance the precision …

MDP-YOLO: A LIGHTWEIGHT YOLOV5S ALGORITHM FOR MULTI-SCALE PEST DETECTION

J Yu, B Zhang - Engenharia Agrícola, 2023 - SciELO Brasil
Rice pest detection technology plays a crucial role in enabling food production, ensuring
ecological balance, supporting sustainable agriculture, and promoting the health of farmers …

A High Accuracy Deep Learning and Iot Network for Pest Detection Using Analysis of The Pest Sound in Large Agriculture Area

MA Ali, AK Sharma, RK Dhanaraj - … International Conference on …, 2023 - ieeexplore.ieee.org
The significance of agriculture in ensuring human survival in the contemporary day
necessitates enhancing crop yields. Pest infestations have the potential to cause harm or …

Monitoring and Identifying Paddy Leaf Diseases Using Unmanned Aerial Vehicles (UAVs) with Machine Learning-A Survey

V Sahasranamam, T Ramesh… - 2023 IEEE 2nd …, 2023 - ieeexplore.ieee.org
Paddy leaf diseases substantially threaten global rice production, resulting in significant
crop yield losses and economic implications. Therefore, timely detection and accurate …

Leveraging Deep Learning and Farmland Fertility Algorithm for Automated Rice Pest Detection and Classification Model.

A Hussain, PB Srikaanth - KSII Transactions on Internet & …, 2024 - search.ebscohost.com
Rice pest identification is essential in modern agriculture for the health of rice crops. As
global rice consumption rises, yields and quality must be maintained. Various …