Machine learning and computer vision techniques in continuous beehive monitoring applications: A survey
The wide use and availability of machine learning and computer vision techniques allows
develo** relatively complex monitoring systems in multiple domains. Besides the …
develo** relatively complex monitoring systems in multiple domains. Besides the …
[HTML][HTML] A transfer learning-based artificial intelligence model for leaf disease assessment
The paddy crop is the most essential and consumable agricultural produce. Leaf disease
impacts the quality and productivity of paddy crops. Therefore, tackling this issue as early as …
impacts the quality and productivity of paddy crops. Therefore, tackling this issue as early as …
Recognition of sunflower diseases using hybrid deep learning and its explainability with AI
Sunflower is a crop that has many economic values and ornamental usages. However, its
production can be hampered due to various diseases such as downy mildew, gray mold …
production can be hampered due to various diseases such as downy mildew, gray mold …
Tomato plant leaf disease segmentation and multiclass disease detection using hybrid optimization enabled deep learning
Production of crops is increasing day by day in agriculture sectors. The insecurity of food is a
main reason of plant disease and is a main global issue that humans face these days. With …
main reason of plant disease and is a main global issue that humans face these days. With …
[HTML][HTML] Explainable deep learning study for leaf disease classification
K Wei, B Chen, J Zhang, S Fan, K Wu, G Liu, D Chen - Agronomy, 2022 - mdpi.com
Explainable artificial intelligence has been extensively studied recently. However, the
research of interpretable methods in the agricultural field has not been systematically …
research of interpretable methods in the agricultural field has not been systematically …
Performance analysis of segmentation models to detect leaf diseases in tomato plant
In agriculture around 22% of crop yield loss is due to living and non-living organisms such
as biotic and abiotic stress/disease. The early-stage diagnosis of these stresses is an …
as biotic and abiotic stress/disease. The early-stage diagnosis of these stresses is an …
[HTML][HTML] AMDNet23: hybrid CNN-LSTM deep learning approach with enhanced preprocessing for age-related macular degeneration (AMD) detection
In the context of a growing global population, an automated framework for disease detection
can greatly assist medical professionals in diagnosing ocular diseases. This framework …
can greatly assist medical professionals in diagnosing ocular diseases. This framework …
Enhancing mango disease diagnosis through eco-informatics: A deep learning approach
The mango is one of the most popular and economically important fruits in the world, but it is
vulnerable to various diseases that can significantly reduce the quality and yield of the fruit …
vulnerable to various diseases that can significantly reduce the quality and yield of the fruit …
Deep Learning for Detecting and Classifying the Growth Stages of Consolida regalis Weeds on Fields
Due to the massive surge in the world population, the agriculture cycle expansion is
necessary to accommodate the anticipated demand. However, this expansion is challenged …
necessary to accommodate the anticipated demand. However, this expansion is challenged …
Informal waste pickers in Guayaquil: Recycling rates, environmental benefits, main barriers, and troubles
Abstract Systems for managing municipal solid waste are typically ineffective in develo**
nations because of governments' deficient financial and administrative frameworks, poor …
nations because of governments' deficient financial and administrative frameworks, poor …