Entomopathogenic fungi against the red palm weevil: Lab and field evidence
R Sabbahi, V Hock - Crop Protection, 2023 - Elsevier
Palms are threatened by a major pest, the red palm weevil, Rhynchophorus ferrugineus
(Olivier)(Coleoptera: Curculionidae). The damage caused by its infestation is costly, often …
(Olivier)(Coleoptera: Curculionidae). The damage caused by its infestation is costly, often …
Heterogeneous features and deep learning networks fusion-based pest detection, prevention and controlling system using IoT and pest sound analytics in a vast …
MA Ali, AK Sharma, RK Dhanaraj - Computers and Electrical Engineering, 2024 - Elsevier
Every country's foundation is its agricultural industry, which drives about half of global
economic growth. Accurate farming is crucial for crop evaluation and pest control. Old …
economic growth. Accurate farming is crucial for crop evaluation and pest control. Old …
Large-scale assessment of date palm plantations based on UAV remote sensing and multiscale vision transformer
Timely and efficient mapping of date palm plantations through unmanned aerial vehicle
(UAV) remote sensing is critical for continuous observation, health and risk evaluation, pest …
(UAV) remote sensing is critical for continuous observation, health and risk evaluation, pest …
Use ResNet50V2 Deep Learning Model to Classify Five Animal Species
D Hindarto - Jurnal JTIK (Jurnal Teknologi Informasi dan …, 2023 - journal.lembagakita.org
This study employs the ResNet50V2 Deep Learning model for the purpose of classifying five
distinct animal species. To gain insights into the model's proficiency in visual recognition, we …
distinct animal species. To gain insights into the model's proficiency in visual recognition, we …
Efficacy and Persistence of Entomopathogenic Fungi against Rhynchophorus ferrugineus on Date Palm: Host to Host Transmission
The red palm weevil (RPW), Rhynchophorus ferrugineus (Olivier)(Coleoptera:
Dryophthoridae), is a destructive and voracious pest of palm species worldwide. Due to …
Dryophthoridae), is a destructive and voracious pest of palm species worldwide. Due to …
Quantifying Soybean Defects: A Computational Approach to Seed Classification Using Deep Learning Techniques
This paper presents a computational approach for quantifying soybean defects through seed
classification using deep learning techniques. To differentiate between good and defective …
classification using deep learning techniques. To differentiate between good and defective …
An approach based on performer-attention-guided few-shot learning model for plant disease classification
W Boulila - Earth Science Informatics, 2024 - Springer
Abstract The evolution of Few-Shot Learning (FSL) technologies has significantly enhanced
the capacity for accurate plant disease classification. This paper introduces an FSL model …
the capacity for accurate plant disease classification. This paper introduces an FSL model …
Automated Vibroacoustic Monitoring of Trees for Borer Infestation
I Potamitis, I Rigakis - Sensors, 2024 - mdpi.com
In previous research, we presented an apparatus designed for comprehensive and
systematic surveillance of trees against borers. This apparatus entailed the insertion of an …
systematic surveillance of trees against borers. This apparatus entailed the insertion of an …
Enhancing Red Palm Weevil Detection Using Bird Swarm Algorithm With Deep Learning Model
In recent times, mostly in the Middle East region, Red Palm Weevils (RPW) are one of the
most dangerous pests of palm trees worldwide. The RPW causes significant harm to several …
most dangerous pests of palm trees worldwide. The RPW causes significant harm to several …
Seamless Connections: Harnessing Machine Learning for MAC Optimization in Home Area Networks
The latest technologies and communication protocols are arousing a keen interest in
automation, in which the field of home area networks is the most prominent area to work …
automation, in which the field of home area networks is the most prominent area to work …