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RuralAI in Tomato Farming: Integrated Sensor System, Distributed Computing, and Hierarchical Federated Learning for Crop Health Monitoring
Precision horticulture is evolving due to scalable sensor deployment and machine learning (ML) integration. These advancements boost …
Enrico Casella
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DOI
A machine learning and optimization framework for the early diagnosis of bovine respiratory disease
Bovine Respiratory Disease (BRD) is an infection of the respiratory tract that is the leading reason for antimicrobial use in dairy …
Enrico Casella
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DOI
Dissecting the Problem of Individual Home Power Consumption Prediction using Machine Learning
The growth and widespread diffusion of Internet-of-Things devices and advanced metering infrastructure allows to closely monitor …
Enrico Casella
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DOI
Cost-aware Inference of Bovine Respiratory Disease in Calves using Precision Livestock Technology
Bovine Respiratory Disease (BRD) is the second leading cause of death in young dairy calves, and is associated with less growth, and …
Enrico Casella
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DOI
Using machine learning and behavioral patterns observed by automated feeders and accelerometers for the early indication of clinical Bovine Respiratory Disease status in preweaned dairy calves
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Enrico Casella
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DOI
Using machine learning and precision livestock farming technology for early indication of health status in preweaned dairy calves
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Enrico Casella
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HVAC Power Conservation through Reverse Auctions and Machine Learning
Prolonged rotating outages and exorbitant energy bills, recently experienced in California and Texas, have exposed the limitations and …
Enrico Casella
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DOI
Smartwatch application for horse gaits activity recognition
Activity recognition has been introduced as a means of detecting an action from a series of observations. Although in the literature, …
Enrico Casella
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