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Intelligent detection for sustainable agriculture: a review of IoT-based embedded systems, cloud platforms, DL, and ML for plant disease detection
Plant diseases pose a significant threat to the sustainability of the environment and global
food security. With an increasing population density and the growing demand for plant …
food security. With an increasing population density and the growing demand for plant …
A novel deep learning method for detection and classification of plant diseases
The agricultural production rate plays a pivotal role in the economic development of a
country. However, plant diseases are the most significant impediment to the production and …
country. However, plant diseases are the most significant impediment to the production and …
Beans leaf diseases classification using mobilenet models
In recent years, plant leaf diseases has become a widespread problem for which an
accurate research and rapid application of deep learning in plant disease classification is …
accurate research and rapid application of deep learning in plant disease classification is …
Automatic detection of citrus fruit and leaves diseases using deep neural network model
A Khattak, MU Asghar, U Batool, MZ Asghar… - IEEE …, 2021 - ieeexplore.ieee.org
Citrus fruit diseases are the major cause of extreme citrus fruit yield declines. As a result,
designing an automated detection system for citrus plant diseases is important. Deep …
designing an automated detection system for citrus plant diseases is important. Deep …
Multitasking deep learning model for detection of five stages of diabetic retinopathy
Early diagnosis and treatment of diabetic retinopathy (DR) can reduce the risk of vision loss.
There are five stages of DR consisting of no DR, mild DR, moderate DR, severe DR, and …
There are five stages of DR consisting of no DR, mild DR, moderate DR, severe DR, and …
Artificial intelligence-based drone system for multiclass plant disease detection using an improved efficient convolutional neural network
The role of agricultural development is very important in the economy of a country. However,
the occurrence of several plant diseases is a major hindrance to the growth rate and quality …
the occurrence of several plant diseases is a major hindrance to the growth rate and quality …
[HTML][HTML] Lightweight one-stage maize leaf disease detection model with knowledge distillation
Y Hu, G Liu, Z Chen, J Liu, J Guo - Agriculture, 2023 - mdpi.com
Maize is one of the world's most important crops, and maize leaf diseases can have a direct
impact on maize yields. Although deep learning-based detection methods have been …
impact on maize yields. Although deep learning-based detection methods have been …
DCNet: DenseNet-77-based CornerNet model for the tomato plant leaf disease detection and classification
Early recognition of tomato plant leaf diseases is mandatory to improve the food yield and
save agriculturalists from costly spray procedures. The correct and timely identification of …
save agriculturalists from costly spray procedures. The correct and timely identification of …
Unveiling temporal and spatial research trends in precision agriculture: A BERTopic text mining approach
Y Liu, F Wan - Heliyon, 2024 - cell.com
This study leverages the BERTopic algorithm to analyze the evolution of research within
precision agriculture, identifying 37 distinct topics categorized into eight subfields: Data …
precision agriculture, identifying 37 distinct topics categorized into eight subfields: Data …
Impact of datasets on the effectiveness of MobileNet for beans leaf disease detection
Bean is a widely cultivated crop worldwide; however, it is susceptible to various diseases
that can adversely affect the quality of beans, including rust and angular leaf spot diseases …
that can adversely affect the quality of beans, including rust and angular leaf spot diseases …