Plant diseases and pests detection based on deep learning: a review
J Liu, X Wang - Plant Methods, 2021 - Springer
Plant diseases and pests are important factors determining the yield and quality of plants.
Plant diseases and pests identification can be carried out by means of digital image …
Plant diseases and pests identification can be carried out by means of digital image …
A comparative study of deep learning and Internet of Things for precision agriculture
Precision farming is made possible by rapid advances in deep learning (DL) and the internet
of things (IoT) for agriculture, allowing farmers to upgrade their agriculture operations to …
of things (IoT) for agriculture, allowing farmers to upgrade their agriculture operations to …
Can sam segment anything? when sam meets camouflaged object detection
SAM is a segmentation model recently released by Meta AI Research and has been gaining
attention quickly due to its impressive performance in generic object segmentation …
attention quickly due to its impressive performance in generic object segmentation …
Deep learning and computer vision will transform entomology
Most animal species on Earth are insects, and recent reports suggest that their abundance is
in drastic decline. Although these reports come from a wide range of insect taxa and regions …
in drastic decline. Although these reports come from a wide range of insect taxa and regions …
[HTML][HTML] A new mobile application of agricultural pests recognition using deep learning in cloud computing system
ME Karar, F Alsunaydi, S Albusaymi… - Alexandria Engineering …, 2021 - Elsevier
Agricultural pests cause between 20 and 40 percent loss of global crop production every
year as reported by the Food and Agriculture Organization (FAO). Therefore, smart …
year as reported by the Food and Agriculture Organization (FAO). Therefore, smart …
Classification and detection of insects from field images using deep learning for smart pest management: A systematic review
W Li, T Zheng, Z Yang, M Li, C Sun, X Yang - Ecological Informatics, 2021 - Elsevier
Insect pest is one of the main causes affecting agricultural crop yield and quality all over the
world. Rapid and reliable insect pest monitoring plays a crucial role in population prediction …
world. Rapid and reliable insect pest monitoring plays a crucial role in population prediction …
A spatial feature-enhanced attention neural network with high-order pooling representation for application in pest and disease recognition
With the development of advanced information and intelligence technologies, precision
agriculture has become an effective solution to monitor and prevent crop pests and …
agriculture has become an effective solution to monitor and prevent crop pests and …
Deep learning as a tool for ecology and evolution
Deep learning is driving recent advances behind many everyday technologies, including
speech and image recognition, natural language processing and autonomous driving. It is …
speech and image recognition, natural language processing and autonomous driving. It is …
Deep learning for precision agriculture: A bibliometric analysis
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 …
Machine learning for detection and prediction of crop diseases and pests: A comprehensive survey
Considering the population growth rate of recent years, a doubling of the current worldwide
crop productivity is expected to be needed by 2050. Pests and diseases are a major …
crop productivity is expected to be needed by 2050. Pests and diseases are a major …