A comprehensive survey on arithmetic optimization algorithm
Abstract Arithmetic Optimization Algorithm (AOA) is a recently developed population-based
nature-inspired optimization algorithm (NIOA). AOA is designed under the inspiration of the …
nature-inspired optimization algorithm (NIOA). AOA is designed under the inspiration of the …
Transformative Role of Artificial Intelligence in Advancing Sustainable Tomato (Solanum lycopersicum) Disease Management for Global Food Security: A …
B Sundararaman, S Jagdev, N Khatri - Sustainability, 2023 - mdpi.com
The growing global population and accompanying increase in food demand has put
pressure on agriculture to produce higher yields in the face of numerous challenges …
pressure on agriculture to produce higher yields in the face of numerous challenges …
Systematic study on deep learning-based plant disease detection or classification
Plant diseases impact extensively on agricultural production growth. It results in a price hike
on food grains and vegetables. To reduce economic loss and to predict yield loss, early …
on food grains and vegetables. To reduce economic loss and to predict yield loss, early …
Model selection of hybrid feature fusion for coffee leaf disease classification
Coffee leaf diseases can significantly impact the productivity and quality of the crops.
Accurate and timely identification of these diseases is crucial for effective management and …
Accurate and timely identification of these diseases is crucial for effective management and …
A dual track deep fusion network for citrus disease classification using group shuffle depthwise feature pyramid and swin transformer
Citrus fruits are globally significant crops, valued for their unique taste, nutritional value, and
versatility in culinary applications. However, these crops are vulnerable to diseases that can …
versatility in culinary applications. However, these crops are vulnerable to diseases that can …
Recognition of edible fungi fruit body diseases based on improved ShuffleNetV2
X Xu, Y Zhang, H Cao, D Yang, L Zhou, H Yu - Agronomy, 2023 - mdpi.com
Early recognition of fruit body diseases in edible fungi can effectively improve the quality and
yield of edible fungi. This study proposes a method based on improved ShuffleNetV2 for …
yield of edible fungi. This study proposes a method based on improved ShuffleNetV2 for …
A Deep Learning Approach for Crop Disease and Pest Classification using Swin Transformer and Dual-Attention Multi-scale Fusion Network
Crops are essential for the survival of the human race, and their significance steadily rises
alongside the increasing global population. Cashew, cassava, maize, and tomato are major …
alongside the increasing global population. Cashew, cassava, maize, and tomato are major …
Early detection and control of anthracnose disease in cashew leaves to improve crop yield using image processing and machine learning techniques
Agriculture is one of the primary pillars powering India's economy. It is alarming to note that
India's agriculture rate is declining steeply. Climate change, environmental pollution, and …
India's agriculture rate is declining steeply. Climate change, environmental pollution, and …
Advances and Challenges in Computer Vision for Image-Based Plant Disease Detection: A Comprehensive Survey of Machine and Deep Learning Approaches
As advancements in agricultural technology unfold, machine learning and deep learning
approaches are gaining interest in robust plant disease identification. Early disease …
approaches are gaining interest in robust plant disease identification. Early disease …
A Novel Technique for Leaf Disease Classification Using Legion Kernels with Parallel Support Vector Machine (LK-PSVM) and Fuzzy C Means Image Segmentation
M Rajagopal, S Kayikci, M Abbas, R Sivasakthivel - Heliyon, 2024 - cell.com
Detection of plant disease and classificationare being investigated in many parts of the
worldto save precious medical plants from becoming extinct. Major problem in this task …
worldto save precious medical plants from becoming extinct. Major problem in this task …