Nature-inspired optimization algorithms and their significance in multi-thresholding image segmentation: an inclusive review
Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …
image segmentation that can efficiently resolve difficulties aroused while analyzing the …
An efficient approach for crops pests recognition and classification based on novel DeepPestNet deep learning model
Crop pests are to blame for significant economic, social, and environmental losses
worldwide. Various pests have different control strategies, and precisely identifying pests …
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
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 …
However, plant diseases are one of the leading causes of crop destruction that decreases …
Enhancing coffee bean classification: a comparative analysis of pre-trained deep learning models
E Hassan - Neural Computing and Applications, 2024 - Springer
Coffee bean production can encounter challenges due to fluctuations in global coffee prices,
impacting the economic stability of some countries that heavily depend on coffee production …
impacting the economic stability of some countries that heavily depend on coffee production …
Benchmarking analysis of CNN models for bread wheat varieties
A Yasar - European food research and technology, 2023 - Springer
Most of the wheat produced and consumed worldwide is generally bread wheat and is used
for bread making. Bread wheat varieties can affect the quality of bread. When comparing …
for bread making. Bread wheat varieties can affect the quality of bread. When comparing …
Archimedes optimizer: theory, analysis, improvements, and applications
The intricacy of the real-world numerical optimization tribulations has full-fledged and
diversely amplified necessitating proficient yet ingenious optimization algorithms. In the …
diversely amplified necessitating proficient yet ingenious optimization algorithms. In the …
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 …
research due to technological progress and mobile applications. HFA explores several …
Deep Learning Model for classifying and evaluating soybean leaf disease damage
Soybean (Glycine max (L.) Merr.) is a major source of oil and protein for human food and
animal feed; however, soybean crops face diverse factors causing damage, including …
animal feed; however, soybean crops face diverse factors causing damage, including …
Classification for crop pest on U-SegNet
AA Rani, KL Prasanna, MS Ashraf… - 2023 7th …, 2023 - ieeexplore.ieee.org
As a long-standing issue, pests and illnesses in agriculture consistently cause large annual
yield decreases. It's no secret that deep learning (DL) models are quite effective in facial …
yield decreases. It's no secret that deep learning (DL) models are quite effective in facial …
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 …
agriculture industry, and the economy as a whole. Leaf plays a significant role in Plants and …