[HTML][HTML] A comprehensive review of 3D convolutional neural network-based classification techniques of diseased and defective crops using non-UAV-based …
Hyperspectral imaging (HSI) is a non-destructive and contactless technology that provides
valuable information about the structure and composition of an object. It has the ability to …
valuable information about the structure and composition of an object. It has the ability to …
A comprehensive review of scab disease detection on Rosaceae family fruits via UAV imagery
Disease detection in plants is essential for food security and economic stability. Unmanned
aerial vehicle (UAV) imagery and artificial intelligence (AI) are valuable tools for it. The …
aerial vehicle (UAV) imagery and artificial intelligence (AI) are valuable tools for it. The …
Benchmarking in-the-wild multimodal disease recognition and a versatile baseline
Existing plant disease classification models have achieved remarkable performance in
recognizing in-laboratory diseased images. However, their performance often significantly …
recognizing in-laboratory diseased images. However, their performance often significantly …
Real-time plant disease dataset development and detection of plant disease using deep learning
Agriculture plays a significant role in meeting food needs and providing food security for the
increasingly growing global population, which has increased by 0.88% since 2022. Plant …
increasingly growing global population, which has increased by 0.88% since 2022. Plant …
An improved pear disease classification approach using cycle generative adversarial network
K Alshammari, R Alshammari, A Alshammari… - Scientific Reports, 2024 - nature.com
A large number of countries worldwide depend on the agriculture, as agriculture can assist
in reducing poverty, raising the country's income, and improving the food security. However …
in reducing poverty, raising the country's income, and improving the food security. However …
Heterogeneous IoT (HetIoT) security: techniques, challenges and open issues
The HetIoT is a new emergent technology widely used to offer QoS to applications such as
health monitoring systems, agriculture 4.0, traffic monitoring, industry 4.0, and civil defense …
health monitoring systems, agriculture 4.0, traffic monitoring, industry 4.0, and civil defense …
Convolutional neural network in rice disease recognition: accuracy, speed and lightweight
H Ning, S Liu, Q Zhu, T Zhou - Frontiers in Plant Science, 2023 - frontiersin.org
There are many rice diseases, which have very serious negative effects on rice growth and
final yield. It is very important to identify the categories of rice diseases and control them. In …
final yield. It is very important to identify the categories of rice diseases and control them. In …
A Review on Plant Disease Detection Using Hyperspectral Imaging
Agriculture production is one of the fundamental contributors to a nation's economic
development. Every year, plant diseases result in significant crop losses that threaten the …
development. Every year, plant diseases result in significant crop losses that threaten the …
Lcrm: Layer-wise complexity reduction method for cnn model optimization on end devices
The increasing significance of state-of-the-art convolutional neural network (CNN) models in
computer vision tasks has led to their widespread use in industry and academia. However …
computer vision tasks has led to their widespread use in industry and academia. However …
[HTML][HTML] Detection and Classification of Agave angustifolia Haw Using Deep Learning Models
I Matadamas, E Zamora, T Aquino-Bolaños - Agriculture, 2024 - mdpi.com
In Oaxaca, Mexico, there are more than 30 species of the Agave genus, and its cultivation is
of great economic and social importance. The incidence of pests, diseases, and …
of great economic and social importance. The incidence of pests, diseases, and …