A Review and Comparative Analysis of Relevant Approaches of Zero Trust Network Model
The Zero Trust safety architecture emerged as an intriguing approach for overcoming the
shortcomings of standard network security solutions. This extensive survey study provides a …
shortcomings of standard network security solutions. This extensive survey study provides a …
Fruit and vegetable disease detection and classification: Recent trends, challenges, and future opportunities
S Gupta, AK Tripathi - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Fruits and vegetables are major sources of nutrients for the majority of the population across
the globe. With the rapid increase in population, the objectives of the future agro-industry are …
the globe. With the rapid increase in population, the objectives of the future agro-industry are …
Enhancing rice leaf disease classification: a customized convolutional neural network approach
In modern agriculture, correctly identifying rice leaf diseases is crucial for maintaining crop
health and promoting sustainable food production. This study presents a detailed …
health and promoting sustainable food production. This study presents a detailed …
Horticultural Image Clustering With Multispectral Optimization And Gaussian Lion Vector Quantization
A Divya, D Sungeetha - 2023 12th International Conference on …, 2023 - ieeexplore.ieee.org
More and more farmers are turning to unmanned aerial systems (UAS) to keep an eye on
their crops with multispectral imagery. To establish UAS-based data as an industry standard …
their crops with multispectral imagery. To establish UAS-based data as an industry standard …
Hierarchical Detection of Gastrodia elata Based on Improved YOLOX
X Duan, Y Lin, L Li, F Zhang, S Li, Y Liao - Agronomy, 2023 - mdpi.com
Identifying the grade of Gastrodia elata in the market has low efficiency and accuracy. To
address this issue, an I-YOLOX object detection algorithm based on deep learning and …
address this issue, an I-YOLOX object detection algorithm based on deep learning and …
A Survey and Comparative Analysis of Relevant Approaches of Recommendation System
From the past decade, there are many recommended system are being used for determining
various problem in different field like entertainment, social media and e-commerce …
various problem in different field like entertainment, social media and e-commerce …
Internet of Things Assisted Plant Disease Detection and Crop Management using Deep Learning for Sustainable Agriculture
EA Al-Shahari, G Aldehim, M Aljebreen… - IEEE …, 2024 - ieeexplore.ieee.org
The integration of Internet of Things (IoT) technology with deep learning (DL) algorithms has
revolutionized plant disease detection and crop management and paved the way for …
revolutionized plant disease detection and crop management and paved the way for …
A hybrid deep learning neural network for early plant disease diagnosis using a real-world Wheat–Barley vision dataset: challenges and solutions
Approximately 35% of India's annual crop yield is lost due to plant diseases. Due to a lack of
lab equipment and infrastructure, early diagnosis of plant diseases remains challenging …
lab equipment and infrastructure, early diagnosis of plant diseases remains challenging …
CitrusDiseaseNet: An integrated approach for automated citrus disease detection using deep learning and kernel extreme learning machine
S Sankaran, D Subbiah, BS Chokkalingam - Earth Science Informatics, 2024 - Springer
Citrus fruit and leaf diseases pose a significant threat to citrus production worldwide, leading
to substantial yield declines and economic losses. Diagnosing these diseases timely and …
to substantial yield declines and economic losses. Diagnosing these diseases timely and …
Advanced ABS Disease Recognition in Lemon-A Multi-Level Approach Using CNN and Random Forest Ensemble
This research presents a novel and powerful method for identifying lemon leaves infected
with Alternate Brown Spot (ABS) by combining neural networks based on convolution …
with Alternate Brown Spot (ABS) by combining neural networks based on convolution …