Deep learning based detector YOLOv5 for identifying insect pests
Insect pests are a major element influencing agricultural production. According to the Food
and Agriculture Organization (FAO), an estimated 20–40% of pest damage occurs each …
and Agriculture Organization (FAO), an estimated 20–40% of pest damage occurs each …
Computer‐aided multiclass classification of corn from corn images integrating deep feature extraction
Corn has great importance in terms of production in the field of agriculture and animal feed.
Obtaining pure corn seeds in corn production is quite significant for seed quality. For this …
Obtaining pure corn seeds in corn production is quite significant for seed quality. For this …
Maize-YOLO: a new high-precision and real-time method for maize pest detection
S Yang, Z Xing, H Wang, X Dong, X Gao, Z Liu… - Insects, 2023 - mdpi.com
Simple Summary Maize is one of the world's most important crops, and pests can seriously
damage its yield and quality. Detection of maize pests is vital to ensuring the excellent …
damage its yield and quality. Detection of maize pests is vital to ensuring the excellent …
A hybrid end-to-end learning approach for breast cancer diagnosis: convolutional recurrent network
MF Aslan - Computers and Electrical Engineering, 2023 - Elsevier
In this study, mammography images are classified as normal, benign, and malignant using
the Mammographic Image Analysis Society (MIAS) and INbreast datasets. After the …
the Mammographic Image Analysis Society (MIAS) and INbreast datasets. After the …
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 …
EfficientRMT-Net—An Efficient ResNet-50 and Vision Transformers Approach for Classifying Potato Plant Leaf Diseases
The primary objective of this study is to develop an advanced, automated system for the
early detection and classification of leaf diseases in potato plants, which are among the most …
early detection and classification of leaf diseases in potato plants, which are among the most …
Early Detection of Dendroctonus valens Infestation at Tree Level with a Hyperspectral UAV Image
B Gao, L Yu, L Ren, Z Zhan, Y Luo - Remote Sensing, 2023 - mdpi.com
The invasive pest Dendroctonus valens has spread to northeast China, causing serious
economic and ecological losses. Early detection and disposal of infested trees is critical to …
economic and ecological losses. Early detection and disposal of infested trees is critical to …
Classification of bread wheat varieties with a combination of deep learning approach
Wheat is one of the most produced and consumed grain products worldwide. Wheat is the
main grain product in developed and underdeveloped countries. Flour obtained from wheat …
main grain product in developed and underdeveloped countries. Flour obtained from wheat …
Integrated transcriptomic meta-analysis and comparative artificial intelligence models in maize under biotic stress
Biotic stress imposed by pathogens, including fungal, bacterial, and viral, can cause heavy
damage leading to yield reduction in maize. Therefore, the identification of resistant genes …
damage leading to yield reduction in maize. Therefore, the identification of resistant genes …
基于改进U-Net 的不同容重小麦籽粒识别检测.
吕宗旺， 王玉琦， 孙福艳 - Journal of Henan Agricultural …, 2023 - search.ebscohost.com
小麦质量等级检测过程中, 容重是一项非常重要的指标. 人工检测和传统图像处理方法在小麦
质量等级检测方面存在设备昂贵, 识别效率低等问题, 需要进一步改进. 采用自制3 …
质量等级检测方面存在设备昂贵, 识别效率低等问题, 需要进一步改进. 采用自制3 …