Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach

MS Islam, MN Kabir, NA Ghani, KZ Zamli… - Artificial Intelligence …, 2024 - Springer
Social media is used to categorise products or services, but analysing vast comments is time-
consuming. Researchers use sentiment analysis via natural language processing …

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 …

EffiMob-Net: A deep learning-based hybrid model for detection and identification of tomato diseases using leaf images

Z Ullah, N Alsubaie, M Jamjoom, SH Alajmani… - Agriculture, 2023 - mdpi.com
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 …

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 …

Tomato leaf disease recognition on leaf images based on fine-tuned residual neural networks

PS Kanda, K Xia, 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 …

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 …

Enhancing speech emotion recognition with the Improved Weighted Average Support Vector method

X Zhang, H Xiao - 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 …

Digital image noise removal towards soybean and cotton plant disease using image processing filters

VG Bhujade, V Sambhe, B Banerjee - Expert Systems with Applications, 2024 - Elsevier
The processing of noisy images does not provide accurate outcomes. In most existing
techniques, many filters have been employed to eradicate the noises and enhance the …

Precision Agriculture Through Deep Learning: Tomato Plant Multiple Diseases Recognition with CNN and Improved YOLOv7

M Umar, S Altaf, S Ahmad, H Mahmoud… - IEEE …, 2024 - ieeexplore.ieee.org
The ability to accurately identify tomato leaves in a field setting is crucial for achieving early
yield estimation, particularly with the growing importance of Precision Agriculture. It may be …

Identification of Water Layer Presence in Paddy Fields Using UAV-Based Visible and Thermal Infrared Imagery

G Wei, H Chen, E Lin, X Hu, H Xie, Y Cui, Y Luo - Agronomy, 2023 - mdpi.com
The accurate identification of the water layer condition of paddy fields is a prerequisite for
precise water management of paddy fields, which is important for the water-saving irrigation …