Agriculture

Efficient, lightweight computer vision models for innovative applications

• Rarely used for tasks other than facial recognition, computer vision is now being deployed for a growing range of new tasks.
• Recent scientific advances are paving the way for lightweight, reliable AI models, which are better adapted to conditions in the field.
• Researchers seeking to design more efficient Convolutional Neural Networks look to the human brain for inspiration.
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Close-up of a woman in a white coat carefully looking through the eyepiece of a black microscope, with her right eye aligned.
An operator is inside a modern tractor, surrounded by control screens displaying agricultural data.

Agricultural robots and their growing potential for farmers

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An attentive crowd watches a presentation on stage during an event

The future of AgTech will depend on the better integration of data and interoperable solutions – R. Faroux

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person wearing bioelectronic fibre arrays for dual-ECG signal acquisition / credit: Wenyu Wang and Yuan Shui

Bioelectronics: disease monitoring sensors that can be printed directly onto human skin

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Artificial pollination: robotic solutions that aim to supplement the work of bees

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Bactery start-up team

AgTech: start-up Bactery aims to use soil microbial fuel cells to power IoT

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A Digital Twin To Facilitate The Development Of Drone Services

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