A systematic review of different categories of plant disease detection using deep learning-based approaches
Artificial intelligence has a significant impact on all sectors. It is revolutionizing agriculture by
replacing traditional methods with more efficient techniques and helping the world improve …
replacing traditional methods with more efficient techniques and helping the world improve …
Advanced deep learning techniques for early disease prediction in cauliflower plants
Agriculture plays a pivotal role in the economies of developing countries by providing
livelihoods, sustenance, and employment opportunities in rural areas. However, crop …
livelihoods, sustenance, and employment opportunities in rural areas. However, crop …
[HTML][HTML] FP-CNN: Fuzzy pooling-based convolutional neural network for lung ultrasound image classification with explainable AI
MM Hasan, MM Hossain, MM Rahman… - Computers in Biology …, 2023 - Elsevier
The COVID-19 pandemic wreaks havoc on healthcare systems all across the world. In
pandemic scenarios like COVID-19, the applicability of diagnostic modalities is crucial in …
pandemic scenarios like COVID-19, the applicability of diagnostic modalities is crucial in …
Rice Disease Recognition using Transfer Learning Xception Convolutional Neural Network
AR Muslikh, DRIM Setiadi… - Jurnal Teknik Informatika …, 2023 - eprints.unmer.ac.id
As one of the major rice producers, Indonesia faces significant challenges related to plant
diseases such as blast, brown spot, tugro, leaf smut, and blight. These diseases threaten …
diseases such as blast, brown spot, tugro, leaf smut, and blight. These diseases threaten …
Convolutional Neural Network (CNN) Models for Crop Diseases Classification
Crop diseases have a significant impact on agricultural production. As a result, early
diagnosis of crop diseases is critical. Deep learning approaches are now promising to …
diagnosis of crop diseases is critical. Deep learning approaches are now promising to …
A study and comparison of deep learning based potato leaf disease detection and classification techniques using explainable AI
H Paul, S Ghatak, S Chakraborty, SK Pandey… - Multimedia Tools and …, 2024 - Springer
The goal of artificial intelligence (AI), a field with a solid scientific foundation, is to enable
machines to simulate human intelligence and problem-solving abilities. AI focuses on the …
machines to simulate human intelligence and problem-solving abilities. AI focuses on the …
Skin cancer detection based on deep learning methods
S Shaaban, H Atya, H Mohammed, A Sameh… - … Conference on Artificial …, 2023 - Springer
One of the most common and dangerous types of tumors/cancer is skin cancer. It is an
abnormal growth of the skin. Skin cancer that is not detected early spreads to other organs …
abnormal growth of the skin. Skin cancer that is not detected early spreads to other organs …
Plant diseases and pests detection using machine learning
AR Deepa, MA Chaurasia, SBN Vamsi… - 2023 3rd Asian …, 2023 - ieeexplore.ieee.org
Detecting and treating plant leaf diseases is critical for ensuring a stable food supply. This
study proposes a deep learning model based on modified Mask R-CNN for autonomous …
study proposes a deep learning model based on modified Mask R-CNN for autonomous …
Plant Disease Diagnosis and Detection using Type-2 Fuzzy Logic System
JB Awotunde, GJ Ajamu… - … and Business for …, 2023 - ieeexplore.ieee.org
The advancement in technological equipment used in farming practices has stimulated the
spread of various diseases in farm management. Most of the time, these infections are …
spread of various diseases in farm management. Most of the time, these infections are …
Maize Plant Disease Prediction of UAV Images for Precision Agriculture Using Fusion of Multimodal
The agriculture sector is vital to a country's economic and productive development. With
technological advancements, we can identify plant diseases in their early stages, similar to …
technological advancements, we can identify plant diseases in their early stages, similar to …