Plant disease detection and classification techniques: a comparative study of the performances

WB Demilie - Journal of Big Data, 2024 - Springer
One of the essential components of human civilization is agriculture. It helps the economy in
addition to supplying food. Plant leaves or crops are vulnerable to different diseases during …

[HTML][HTML] Machine Learning and Deep Learning for Crop Disease Diagnosis: Performance Analysis and Review

HN Ngugi, AA Akinyelu, AE Ezugwu - Agronomy, 2024 - mdpi.com
Crop diseases pose a significant threat to global food security, with both economic and
environmental consequences. Early and accurate detection is essential for timely …

[HTML][HTML] Botanical, Phytochemical and Pharmacological Aspects of Livistona chinensis: A Traditional Chinese Plant

K Singh, Y Murti, M Sanduja, AK Sharma… - Pharmacological …, 2023 - Elsevier
Introduction: Livistona chinensis (L. chinensis) or Chinese fan palm is a tropical and
subtropical plant that is commonly planted across the world. Its fruits are fleshy, green in …

Recognition of mulberry leaf diseases based on multi-scale residual network fusion SENet

C Wen, W He, W Wu, X Liang, J Yang, H Nong, Z Lan - Plos one, 2024 - journals.plos.org
Silkworms are insects with important economic value, and mulberry leaves are the food of
silkworms. The quality and quantity of mulberry leaves have a direct impact on cocooning …

Machine learning-based classification of infected date palm leaves caused by dubas insects: a comparative analysis of feature extraction methods and classification …

R Kursun, ET Yasin, M Koklu - 2023 Innovations in Intelligent …, 2023 - ieeexplore.ieee.org
This study investigates the utilization of machine learning techniques for effectively
classifying infected date palm leaves caused by Dubas insects. Three distinct feature …

Exploring Transfer Learning Models for Multi-Class Classification of Infected Date Palm Leaves

F Patel, S Mewada, S Degadwala… - … Conference on Self …, 2023 - ieeexplore.ieee.org
This research explores the feasibility of leveraging transfer learning models, including
AlexNet, VGGNet, and ResNet, alongside a newly devised Convolutional Neural Network …

A novel hybrid inception-xception convolutional neural network for efficient plant disease classification and detection

W Shafik, A Tufail, C Liyanage De Silva… - Scientific Reports, 2025 - nature.com
Plants are essential at all stages of living things. Plant pests, diseases, and symptoms are
most regularly visible in plant leaves and fruits and sometimes within the roots. Yet, their …

A Systematic Literature Review on Leaf Disease Recognition Using Computer Vision and Deep Learning Approach

NANA Yani, SSM Fauzi, NAM Zaki… - Journal of Information …, 2024 - e-journal.unair.ac.id
Background: Plant diseases affect agricultural output, quality and profitability, making them
serious obstacles for agriculture. It is essential to detect diseases early in order to reduce …

[PDF][PDF] Trends in Machine and Deep Learning Techniques for Plant Disease Identification: A Systematic Review

DC Rodríguez-Lira, DM Córdova-Esparza… - Agriculture, 2024 - researchgate.net
This review explores the use of machine learning (ML) techniques for detecting pests and
diseases in crops, which is a significant challenge in agriculture, leading to substantial yield …

Application of deep ensemble learning for palm disease detection in smart agriculture

S Savaş - Heliyon, 2024 - cell.com
Agriculture has notably become one of the fields experiencing intensive digital
transformation. Leveraging state-of-the-art techniques in this domain has provided …