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Data-driven remaining useful life estimation for milling process: sensors, algorithms, datasets, and future directions
An increase in unplanned downtime of machines disrupts and degrades the industrial
business, which results in substantial credibility damage and monetary loss. The cutting tool …
business, which results in substantial credibility damage and monetary loss. The cutting tool …
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 …
Explainable heat-related mortality with random forest and SHapley Additive exPlanations (SHAP) models
The heat increase caused by climate change has worsened the urban heat environment and
damaged human health, which has led to heat-related mortality. One of the most important …
damaged human health, which has led to heat-related mortality. One of the most important …
A lightweight Attention-based convolutional neural networks for tomato leaf disease classification
Plant diseases pose a significant challenge for food production and safety. Therefore, it is
indispensable to correctly identify plant diseases for timely intervention to protect crops from …
indispensable to correctly identify plant diseases for timely intervention to protect crops from …
Disease detection in tomato leaves via CNN with lightweight architectures implemented in Raspberry Pi 4
V Gonzalez-Huitron, JA León-Borges… - … and Electronics in …, 2021 - Elsevier
Deep learning has made essential contributions to classification and detection tasks applied
to precision agriculture; however, it is vitally important to move towards an adoption of these …
to precision agriculture; however, it is vitally important to move towards an adoption of these …
Less is more: Lighter and faster deep neural architecture for tomato leaf disease classification
To ensure global food security and the overall profit of stakeholders, the importance of
correctly detecting and classifying plant diseases is paramount. In this connection, the …
correctly detecting and classifying plant diseases is paramount. In this connection, the …
A convolution neural network-based seed classification system
Over the last few years, the research into agriculture has gained momentum, showing signs
of rapid growth. The latest to appear on the scene is bringing convenience in how …
of rapid growth. The latest to appear on the scene is bringing convenience in how …
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 …
economic pillar of numerous countries. Nevertheless, these harvests remain susceptible to a …
Identification method of vegetable diseases based on transfer learning and attention mechanism
X Zhao, K Li, Y Li, J Ma, L Zhang - Computers and Electronics in Agriculture, 2022 - Elsevier
Artificial Intelligence for disease identification is currently the focus of great research interest.
Nonetheless, the approach has some problems, for example, identification takes a long time …
Nonetheless, the approach has some problems, for example, identification takes a long time …
EfficientNet-B4-Ranger: A novel method for greenhouse cucumber disease recognition under natural complex environment
P Zhang, L Yang, D Li - Computers and Electronics in Agriculture, 2020 - Elsevier
The intelligent identification and classification of greenhouse plant diseases is an important
research object in smart horticulture. In this study, our main task is to find an efficient method …
research object in smart horticulture. In this study, our main task is to find an efficient method …