Tomato leaf disease classification via compact convolutional neural networks with transfer learning and feature selection
O Attallah - Horticulturae, 2023 - mdpi.com
Tomatoes are one of the world's greatest valuable vegetables and are regarded as the
economic pillar of numerous countries. Nevertheless, these harvests remain susceptible to a …
economic pillar of numerous countries. Nevertheless, these harvests remain susceptible to a …
Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach
Social media is used to categorise products or services, but analysing vast comments is time-
consuming. Researchers use sentiment analysis via natural language processing …
consuming. Researchers use sentiment analysis via natural language processing …
Bayesian optimized multimodal deep hybrid learning approach for tomato leaf disease classification
Manual identification of tomato leaf diseases is a time-consuming and laborious process that
may lead to inaccurate results without professional assistance. Therefore, an automated …
may lead to inaccurate results without professional assistance. Therefore, an automated …
EffiMob-Net: A deep learning-based hybrid model for detection and identification of tomato diseases using leaf images
As tomatoes are the most consumed vegetable in the world, production should be increased
to fulfill the vast demand for this vegetable. Global warming, climate changes, and other …
to fulfill the vast demand for this vegetable. Global warming, climate changes, and other …
Yolo for Detecting Plant Diseases
CL KR, B Praveena, G Sahaana… - … and Smart Energy …, 2023 - ieeexplore.ieee.org
Identifying diseases on crops is an essential but time-consuming process in farming
methods. Along with competent labor, it takes a lot of time. The existing systems like K-mean …
methods. Along with competent labor, it takes a lot of time. The existing systems like K-mean …
Tomato leaf disease recognition on leaf images based on fine-tuned residual neural networks
PS Kanda, K **a, A Kyslytysna, EO Owoola - Plants, 2022 - mdpi.com
Humans depend heavily on agriculture, which is the main source of prosperity. The various
plant diseases that farmers must contend with have constituted a lot of challenges in crop …
plant diseases that farmers must contend with have constituted a lot of challenges in crop …
Single shot detector CNN and deep dilated masks for vision-based hand gesture recognition from video sequences
With an increasing number of people on the planet today, innovative human-computer
interaction technologies and approaches may be employed to assist individuals in leading …
interaction technologies and approaches may be employed to assist individuals in leading …
Generative Adversarial Networks (GANs) for Image Augmentation in Farming: A Review
Enhancing model performance in agricultural image analysis faces challenges due to
limited datasets, biological variability, and uncontrolled environments. Deep learning …
limited datasets, biological variability, and uncontrolled environments. Deep learning …
Supervised Deep Learning based Leaf Disease and Pest Detection using Image Processing
DP Isravel, K Somasundaram… - … and Control Systems …, 2023 - ieeexplore.ieee.org
The key problems that influence plant health and crop yield quality are leaf disease and
pests. To improve crop production many advanced technologies are deployed. One of the …
pests. To improve crop production many advanced technologies are deployed. One of the …
Enhancing speech emotion recognition with the Improved Weighted Average Support Vector method
X Zhang, H **ao - Biomedical Signal Processing and Control, 2024 - Elsevier
Emotions have a vital role in human communication in today's time, they help individuals
express their thoughts and understand the emotions of others better. Speech Emotion …
express their thoughts and understand the emotions of others better. Speech Emotion …