Innovative Vineyards Environmental Monitoring System Using Deep Edge AI

Coppola, Marcello; Noaille, Louis; Pierlot, Clément; Oliveira, Rachel Ouvinha de; Gaveau, Nathalie; Rondeau, Marine; Mohimont, Lucas; Steffenel, Luiz Angelo; Sindaco, Simone; Salmon, Tullio

doi:10.1201/9781003337232-23

Cited by 3 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Their optimized model (RTSD-Net) with TensorRT achieved about 25.20 fps and performed 15% faster than the original YOLOv4-tiny model on Jetson Nano without significant loss of accuracy. Other promising applications of Edge-AI are air temperature forecasting [ 109 ], environment monitoring [ 110 ], autonomous navigation systems [ 111 ] and so on.…”

Section: Future Prospects/directionsmentioning

confidence: 99%

Sensing and Automation Technologies for Ornamental Nursery Crop Production: Current Status and Future Prospects

Mahmud

Zahid

Das

2023

Sensors

View full text Add to dashboard Cite

The ornamental crop industry is an important contributor to the economy in the United States. The industry has been facing challenges due to continuously increasing labor and agricultural input costs. Sensing and automation technologies have been introduced to reduce labor requirements and to ensure efficient management operations. This article reviews current sensing and automation technologies used for ornamental nursery crop production and highlights prospective technologies that can be applied for future applications. Applications of sensors, computer vision, artificial intelligence (AI), machine learning (ML), Internet-of-Things (IoT), and robotic technologies are reviewed. Some advanced technologies, including 3D cameras, enhanced deep learning models, edge computing, radio-frequency identification (RFID), and integrated robotics used for other cropping systems, are also discussed as potential prospects. This review concludes that advanced sensing, AI and robotic technologies are critically needed for the nursery crop industry. Adapting these current and future innovative technologies will benefit growers working towards sustainable ornamental nursery crop production.

show abstract

Section: Future Prospects/directionsmentioning

confidence: 99%

Sensing and Automation Technologies for Ornamental Nursery Crop Production: Current Status and Future Prospects

Mahmud

Zahid

Das

2023

Sensors

View full text Add to dashboard Cite

show abstract

AI revolutionizing industries worldwide: A comprehensive overview of its diverse applications

Rashid,

Kausik

2024

Hybrid Advances

View full text Add to dashboard Cite

The Transformative Potential of Artificial Intelligence (AI) in Tackling Climate Change

Satpathy,

Nayak,

Poddar

2024

Practice, Progress, and Proficiency in Sustainability

View full text Add to dashboard Cite

Climate change is a global issue that requires collaboration among scientists, engineers, and industry specialists to create solutions to protect our planet. Artificial intelligence (AI) can play a crucial role in tackling this issue by providing more educated forecasts and proactively deploying mitigation actions. AI can analyze large climatic datasets, which require significant time and resources. By incorporating AI into climate analysis, we can better understand and predict environmental changes, allowing for proactive mitigation actions.AI has been trained to analyze changes in icebergs 10,000 times quicker than humans can, offering great potential for scientists' understanding of the amount of meltwater discharged by icebergs into the ocean. Researchers at the University of Leeds have created AI capable of rapidly mapping large Antarctic icebergs seen in satellite photographs, completing this feat in just one-hundredth of a second. The paper aims to give an overview of different aspects of AI in tackling climate change.

show abstract

Innovative Vineyards Environmental Monitoring System Using Deep Edge AI

Cited by 3 publications

References 0 publications

Sensing and Automation Technologies for Ornamental Nursery Crop Production: Current Status and Future Prospects

Sensing and Automation Technologies for Ornamental Nursery Crop Production: Current Status and Future Prospects

AI revolutionizing industries worldwide: A comprehensive overview of its diverse applications

The Transformative Potential of Artificial Intelligence (AI) in Tackling Climate Change

Contact Info

Product

Resources

About