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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 …
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 …
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 …
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
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 …
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
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 …
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 …
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 …
Accurately diagnosing an illness requires a high level of experience and dedication …
Revolutionizing cancer drug discovery deep learning neural networks for accelerated development
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 …
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 …
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 …
plants (Early et al., 2018) It is especially notorious for attacking one of Africa's most important …