An efficient approach for crops pests recognition and classification based on novel DeepPestNet deep learning model

N Ullah, JA Khan, LA Alharbi, A Raza, W Khan… - IEEE …, 2022 - ieeexplore.ieee.org
Crop pests are to blame for significant economic, social, and environmental losses
worldwide. Various pests have different control strategies, and precisely identifying pests …

A novel framework for image-based plant disease detection using hybrid deep learning approach

A Chug, A Bhatia, AP Singh, D Singh - Soft Computing, 2023 - Springer
The agriculture sector contributes significantly to the economic growth of a country.
However, plant diseases are one of the leading causes of crop destruction that decreases …

An Intelligent handcrafted feature selection using Archimedes optimization algorithm for facial analysis

I Neggaz, H Fizazi - Soft Computing, 2022 - Springer
Human facial analysis (HFA) has recently become an attractive topic for computer vision
research due to technological progress and mobile applications. HFA explores several …

[HTML][HTML] Enhanced Tomato Pest Detection via Leaf Imagery with a New Loss Function

L Mo, R Xie, F Ye, G Wang, P Wu, X Yi - Agronomy, 2024 - mdpi.com
Pests have caused significant losses to agriculture, greatly increasing the detection of pests
in the planting process and the cost of pest management in the early stages. At this time …

Leaf diseases prediction pest detection and pesticides recommendation using deep learning techniques

V Rajeshram, B Rithish, S Karthikeyan… - … Computing and Data …, 2023 - ieeexplore.ieee.org
Problems with crop production and plants are common in India, affecting rural farmers, the
agriculture industry, and the economy as a whole. Leaf plays a significant role in Plants and …

Hybrid CNN-SVM classifier for human emotion recognition using ROI extraction and feature fusion

KS Vaidya, PM Patil, M Alagirisamy - Wireless Personal Communications, 2023 - Springer
Emotions expressed on a human face have a significant impact on decisions and arguments
on a variety of topics. According to psychological theory, a person's emotional states can be …

Classification of crop leaf diseases using image to image translation with deep-dream

P Sahu, A Chug, AP Singh, D Singh - Multimedia Tools and Applications, 2023 - Springer
Crop diseases are one of the primary triggers of yield devastation. As a result, early
detection of crop diseases is critical to avert crop losses. In this study, a Deep-Dream (DD) …

Detection of whitefly pests in crops employing image enhancement and machine learning

L Chand, AS Dhiman, S Singh - International Journal of …, 2023 - search.proquest.com
Agricultural research is currently undergoing a transformation with the emergence of
precision agriculture, which utilizes automated monitoring, data collection, and analysis …

An efficient approach for detecting brain tumors using a modified artificial neural network

S Jayachandran, J Miriam A - Computer Methods in Biomechanics …, 2023 - Taylor & Francis
Computed Tomography (CT) was a prominent technique for detecting brain tumours.
Tradition models have some drawbacks, such as that they do not predict the accurate …

Review of Classification and Detection for Insects/Pests Using Machine Learning and Deep Learning Approach

S Thuse, M Chavan - International Conference on Artificial Intelligence on …, 2023 - Springer
Farmers usually have to deal with insects/pests and the diseases they cause. The diseases
caused by these pests create several health issues and crops get severely damaged. As a …