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 …
Artificial intelligence-based robust hybrid algorithm design and implementation for real-time detection of plant diseases in agricultural environments
İ Yağ, A Altan - Biology, 2022 - mdpi.com
Simple Summary Plant disease, defined as an abnormal condition that disrupts the normal
growth of the plant, is one of the main causes of economic losses in the agricultural industry …
growth of the plant, is one of the main causes of economic losses in the agricultural industry …
A cucumber leaf disease severity classification method based on the fusion of DeepLabV3+ and U-Net
C Wang, P Du, H Wu, J Li, C Zhao, H Zhu - Computers and Electronics in …, 2021 - Elsevier
Research on the recognition and segmentation of vegetable diseases in simple
environments based on deep learning has achieved a relative success. However, in …
environments based on deep learning has achieved a relative success. However, in …
End-to-end deep learning model for corn leaf disease classification
Plant diseases compose a great threat to global food security. However, the rapid
identification of plant diseases remains challenging and time-consuming. It requires experts …
identification of plant diseases remains challenging and time-consuming. It requires experts …
Lightweight dense-scale network (LDSNet) for corn leaf disease identification
W Zeng, H Li, G Hu, D Liang - Computers and Electronics in Agriculture, 2022 - Elsevier
The identification of corn leaf diseases in real scenarios faces important challenges, such as
complex background interference, intra-and inter-class scale changes, and lightweight …
complex background interference, intra-and inter-class scale changes, and lightweight …
A deep survey on supervised learning based human detection and activity classification methods
Human detection and activity recognition is very important research area in the healthcare,
video surveillance, pedestrian detection, intelligent vehicle system and home care center …
video surveillance, pedestrian detection, intelligent vehicle system and home care center …
DLMC-Net: Deeper lightweight multi-class classification model for plant leaf disease detection
Plant-leaf disease detection is one of the key problems of smart agriculture which has a
significant impact on the global economy. To mitigate this, intelligent agricultural solutions …
significant impact on the global economy. To mitigate this, intelligent agricultural solutions …
Corn leaf diseases diagnosis based on K-means clustering and deep learning
H Yu, J Liu, C Chen, AA Heidari, Q Zhang… - IEEE …, 2021 - ieeexplore.ieee.org
Accurate diagnosis of corn crop diseases is a complex challenge faced by farmers during
the growth and production stages of corn. In order to address this problem, this paper …
the growth and production stages of corn. In order to address this problem, this paper …
Inception convolutional vision transformers for plant disease identification
S Yu, L Xie, Q Huang - Internet of Things, 2023 - Elsevier
Plant disease has a considerable influence on the safety of grain output and quality.
Therefore, it is crucial to detect and diagnose plant diseases. Most plant diseases are …
Therefore, it is crucial to detect and diagnose plant diseases. Most plant diseases are …
T-CNN: Trilinear convolutional neural networks model for visual detection of plant diseases
D Wang, J Wang, W Li, P Guan - Computers and Electronics in Agriculture, 2021 - Elsevier
Plant diseases may threaten the safety of crops around the world, and timely detection of
crop diseases and accurate determination of disease species are important to protect crop …
crop diseases and accurate determination of disease species are important to protect crop …