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 …

Advances in image processing applications for assessing leafy materials.

K Kheiralipour, DS Jayas - 2023 - cabidigitallibrary.org
Leafy materials are produced from agricultural crops and forestry plants that have important
role in human life and environment. Expert-based assessment of leafy materials by humans …

Detection and classification of plant leaf diseases using digtal image processing methods: a review

L Mohammed, Y Yusoff - ASEAN Engineering Journal, 2023 - journals.utm.my
Prediction and classification of plant leaf illnesses by farmers using conventional
approaches can be unexciting and erroneous. Problems may occur while trying to predict …

Computer aided detection of leaf disease in agriculture using convolution neural network based squeeze and excitation network

R Santhana Krishnan, E Golden Julie - Automatika: časopis za …, 2023 - hrcak.srce.hr
Sažetak The support rendered by artificial intelligence in plant disease diagnosis and with
drastic progression in the agricultural technology, it is necessary to do pertinent research for …

3-D Bioprinting in cartilage tissue engineering for bioinks-short review

AV Raut, A Agrawal, A Bagde, P Fulzele… - Materials Today …, 2023 - Elsevier
This short review focuses on developments in the field of bioprinting for cartilage tissue
engineering, along with discussion on the various approaches for cartilage fabrication. The …

A Comparative Study of Fine-Tuning Deep Learning Models for Leaf Disease Identification and Classification

B Prashanthi, AVP Krishna, CM Rao - Engineering, Technology & Applied …, 2025 - etasr.com
Innovative agricultural solutions are needed to detect and classify leaf diseases early across
crop species and environments. This study compares deep learning approaches, focusing …

Reviewing detection of plant disease by making use of machine learning mechanism

D Khurana - Smart Agriculture, 2024 - taylorfrancis.com
Plant diseases are a significant contributor to economic losses in the agriculture industry.
Accurately diagnosing an illness requires a high level of experience and dedication …

Revolutionizing cancer drug discovery deep learning neural networks for accelerated development

R Vyas, RK Pandey, H Khan - … Intelligence Revolutionizing Cancer …, 2025 - taylorfrancis.com
Develo** new cancer treatments is essential for improving patient outcomes. However,
the traditional process is lengthy, meticulous, and resource-intensive. It involves a multi-step …

[PDF][PDF] The Implementation of Machine Learning in the Search to Fight Plant Disease

M Batra, N Bathla - International Journal of Image Processing and …, 2024 - journalspub.com
The agriculture business loses money and time due to plant diseases. Diagnosing disease
accurately takes skill and devotion. Infected plants may have spots or streaks of a different …

Convolutional Neural Network Based Fall Armyworm Damage Detection System

C Kariiru - 2022 - erepository.uonbi.ac.ke
Fall armyworm (Spodoptera frugiperda) is an invasive pest that attacks a wide range of
plants (Early et al., 2018) It is especially notorious for attacking one of Africa's most important …