A novel transfer learning approach for detection of pomegranates growth stages

A Naseer, M Amjad, A Raza, K Munir, NA Samee… - IEEE …, 2024 - ieeexplore.ieee.org
Pomegranates are nutrient-rich fruits renowned for their vibrant ruby-red seeds and
antioxidant properties. With a rich history rooted in various cultures, pomegranates have …

Domain‐independent adaptive histogram‐based features for pomegranate fruit and leaf diseases classification

M Prajwala, PP Kumar, SM Gopinath… - CAAI Transactions …, 2024 - Wiley Online Library
Disease identification for fruits and leaves in the field of agriculture is important for
estimating production, crop yield, and earnings for farmers. In the specific case of …

Identification of leek diseases based on deep learning algorithms

L Xu, S Ning, W Zhang, P Xu, F Zhao, B Cao… - Journal of Ambient …, 2023 - Springer
Vegetable diseases and pests continue to be a major threat to food security. Manual
identification is time-consuming and labor-intensive due to the wide variety of diseases and …

Multi-Stage Classification of Pomegranate Anthracnose Disease Severity Levels with CNN and SVM

S Thakur, D Malik, V Kukreja, R Sharma… - … on Smart Electronics …, 2023 - ieeexplore.ieee.org
This study applies a Convolutional Neural Network (CNN) model along with Support Vector
Machines (SVM) to categorize the degrees of anthracnose disease severity. Various crops …

Domain‐independent adaptive histogram‐based features for pomegranate fruit and leaf diseases classification

M Prajwala, S Palaiahnakote… - CAAI …, 2024 - salford-repository.worktribe.com
Disease identification for fruits and leaves in the field of agriculture is important for
estimating production, crop yield and earnings for farmers. In the specific case of …

Convolutional Neural Network Based Approach for Automatic Detection of Diseases from Pomegranate Plants

HS Rana, N Manjunatha, SS Pokhare… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Recent advancements in Artificial Intelligence, particularly Convolutional Neural Networks
(CNNs), have significantly enhanced computer vision tasks, including plant disease …

Hybrid Transformer-CNN Model for Automated Diagnosis of Pomegranate Fruit Diseases

RG Tiwari, A Misra, H Maheshwari… - … on Electrical Energy …, 2024 - ieeexplore.ieee.org
Improving crop quality and output relies on early and precise disease diagnosis in
pomegranate fruits. This study presents a new Feature Fusion Network for disease …

A Systematic Review of Pomegranate Fruit Disease Detection and Classification Using Machine Learning and Deep Learning Techniques

B Pakruddin, R Hemavathy - International Conference on Information and …, 2023 - Springer
Abstract In India Agriculture is the backbone of the economy and a source of employment.
Agriculture contributes 20% to the GDP of India. There are many losses due to diseases that …

Enhanced Disease Detection in Pomegranate Cultivation Using PF-CNN: A Deep Learning Approach for Improved Yield and Quality Management

AK Ratha, PK Sethy, SK BEHERA - 2024 - researchsquare.com
Fruit cultivation is a key contributor to the agricultural economy, with pomegranate being
particularly valued for its high nutritional content, including antioxidants, vitamins, and fiber …

[PDF][PDF] Cloud Data Transfer and Harmful Activity Detection using IPSO and KELM

KGS Venkatesan, VM Jothiprakash, T Nalini - researchgate.net
Many sectors have begun adopting cloud computing. The hazards associated with
virtualization and the dispersed nature of the cloud have resulted in a number of reported …