Deep learning for precision agriculture: A bibliometric analysis
S Coulibaly, B Kamsu-Foguem, D Kamissoko… - Intelligent Systems with …, 2022 - Elsevier
Recent advances in communication technologies with the emergence of connected objects
have changed the agricultural area. In this new digital age, the development of artificial …
have changed the agricultural area. In this new digital age, the development of artificial …
A method for automatic real-time detection and counting of fruit fly pests in orchards by trap bottles via convolutional neural network with attention mechanism added
J She, W Zhan, S Hong, C Min, T Dong, H Huang… - Ecological …, 2022 - Elsevier
Fruit fly pests seriously affect the quality and safety of various melons, fruits, and vegetable
crops. Many farmers lack sufficient knowledge of the level of pest occurrence, which leads to …
crops. Many farmers lack sufficient knowledge of the level of pest occurrence, which leads to …
New trends in detection of harmful insects and pests in modern agriculture using artificial neural networks. a review
Modern and precision agriculture is constantly evolving, and the use of technology has
become a critical factor in improving crop yields and protecting plants from harmful insects …
become a critical factor in improving crop yields and protecting plants from harmful insects …
Classification of pear leaf diseases based on ensemble convolutional neural networks
G Fenu, FM Malloci - AgriEngineering, 2023 - mdpi.com
Over the last few years, the impact of climate change has increased rapidly. It is influencing
all steps of plant production and forcing farmers to change and adapt their crop …
all steps of plant production and forcing farmers to change and adapt their crop …
A multi-species pest recognition and counting method based on a density map in the greenhouse
Whiteflies and fruit flies are common pests that adversely affect greenhouse crops, so it is
vital to control their numbers promptly. Current research involves setting up artificial …
vital to control their numbers promptly. Current research involves setting up artificial …
TinySegformer: A lightweight visual segmentation model for real-time agricultural pest detection
Y Zhang, C Lv - Computers and Electronics in Agriculture, 2024 - Elsevier
This study introduces a lightweight visual segmentation model named TinySegformer,
specifically designed for agricultural pest detection, aiming to address edge computing …
specifically designed for agricultural pest detection, aiming to address edge computing …
[HTML][HTML] YOLO_MRC: A fast and lightweight model for real-time detection and individual counting of Tephritidae pests
M Wei, W Zhan - Ecological Informatics, 2024 - Elsevier
Tephritidae pests severely affect the quality and safety of various melons, fruits and
vegetable crops. However, many agricultural managers lack an adequate understanding of …
vegetable crops. However, many agricultural managers lack an adequate understanding of …
[HTML][HTML] Impact of ICT-based pest information services on tomato pest management practices in the Central Highlands of Kenya
Pests are a major threat to tomato producers globally, owing to the substantial yield losses,
low-quality produce, and low profitability that they cause. Integrated pest management (IPM) …
low-quality produce, and low profitability that they cause. Integrated pest management (IPM) …
[HTML][HTML] A deep learning-based pipeline for whitefly pest abundance estimation on chromotropic sticky traps
Abstract Integrated Pest Management (IPM) is an essential approach used in smart
agriculture to manage pest populations and sustainably optimize crop production. One of the …
agriculture to manage pest populations and sustainably optimize crop production. One of the …
YOLOv5-FPN: a robust framework for multi-sized cell counting in fluorescence images
Cell counting in fluorescence microscopy is an essential task in biomedical research for
analyzing cellular dynamics and studying disease progression. Traditional methods for cell …
analyzing cellular dynamics and studying disease progression. Traditional methods for cell …