Wheat leaf disease identification based on deep learning algorithms
L Xu, B Cao, F Zhao, S Ning, P Xu, W Zhang… - … and Molecular Plant …, 2023 - Elsevier
Wheat is one of the most important crops and food sources in the world. However, wheat leaf
diseases have a major impact on growth. An accurate diagnosis of wheat leaf diseases is …
diseases have a major impact on growth. An accurate diagnosis of wheat leaf diseases is …
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 …
[HTML][HTML] Application of machine learning in automatic image identification of insects-a review
Y Gao, X Xue, G Qin, K Li, J Liu, Y Zhang, X Li - Ecological Informatics, 2024 - Elsevier
Fast and reliable identification of insect species is crucial for pest management, animal
quarantine, and effective utilization of insect resources. Traditional morphological …
quarantine, and effective utilization of insect resources. Traditional morphological …
A novel multi-label pest image classifier using the modified Swin Transformer and soft binary cross entropy loss
Q Guo, C Wang, D Xiao, Q Huang - Engineering Applications of Artificial …, 2023 - Elsevier
As pests can cause heavy crop losses, integrated pest management is a vital aspect of
agriculture. In general, pest recognition is essential to the integrated pest management …
agriculture. In general, pest recognition is essential to the integrated pest management …
Faster-PestNet: A Lightweight deep learning framework for crop pest detection and classification
One of the most significant risks impacting crops is pests, which substantially decrease food
production. Further, prompt and precise recognition of pests can help harvesters save …
production. Further, prompt and precise recognition of pests can help harvesters save …
Pest localization using yolov5 and classification based on quantum convolutional network
Pests are always the main source of field damage and severe crop output losses in
agriculture. Currently, manually classifying and counting pests is time consuming, and …
agriculture. Currently, manually classifying and counting pests is time consuming, and …
Peanut leaf disease identification with deep learning algorithms
L Xu, B Cao, S Ning, W Zhang, F Zhao - Molecular Breeding, 2023 - Springer
Peanut is an essential food and oilseed crop. One of the most critical factors contributing to
the low yield and destruction of peanut plant growth is leaf disease attack, which will directly …
the low yield and destruction of peanut plant growth is leaf disease attack, which will directly …
Deep Multibranch Fusion Residual Network and IoT-based pest detection system using sound analytics in large agricultural field
RK Dhanaraj, MA Ali, AK Sharma, A Nayyar - Multimedia Tools and …, 2024 - Springer
In the modern era, agriculture is necessary for human existence globally, and it is imperative
to work toward increasing agricultural yields. Yet, crop production may be affected due to the …
to work toward increasing agricultural yields. Yet, crop production may be affected due to the …
Efficient agricultural pest classification using vision transformer with hybrid pooled multihead attention
Accurate pest classification plays a pivotal role in modern agriculture for effective pest
management, ensuring crop health and productivity. While Convolutional Neural Networks …
management, ensuring crop health and productivity. While Convolutional Neural Networks …
Systematic approaches to machine learning models for predicting pesticide toxicity
G Anandhi, M Iyapparaja - Heliyon, 2024 - cell.com
Pesticides play an important role in modern agriculture by protecting crops from pests and
diseases. However, the negative consequences of pesticides, such as environmental …
diseases. However, the negative consequences of pesticides, such as environmental …