XYZ Media, a media and marketing company at the intersection of education and technology, is proud to introduce the latest feature in its "Next Generation of Innovators" series. This series highlights young leaders solving real-world global challenges through innovative solutions.
Rivulis, the leader in innovative micro-irrigation solutions, takes pride in being the world's first irrigation company to introduce its market-leading AI technology, Rivulis AI.
A study in Discover Applied Sciences introduces a novel approach combining LoRa communication, digital twins, and IoRT to remotely control agricultural robots. This method enhances robot navigation in complex environments, improves efficiency, and reduces dependency on high-end networks, showcasing significant potential for precision farming and beyond.
Researchers have developed a deep learning and laser system to detect and repel wild birds, effectively protecting crops and poultry. The system, tested on a duck farm in Taiwan, significantly reduced bird presence with a repulsion rate of up to 97.1% per hour.
Researchers introduced HDMNet, a deep learning-based visual system for robotic pear picking, enhancing YOLOv8 with three key features for better accuracy and efficiency in complex environments. HDMNet demonstrated superior performance in real-time detection, achieving a high mean average precision and operating seamlessly in real-world applications, promising significant advancements in agricultural automation.
Researchers developed CES-YOLOv8, an advanced deep learning algorithm, to improve the accuracy and efficiency of detecting strawberry ripeness for automated harvesting robots. CES-YOLOv8 demonstrated superior performance in real-time image processing, offering significant advancements in smart agriculture and potential applications for various fruit crops.
An international group of researchers from Tampere University and the University of Pittsburgh created a tiny robot to mimic the airborne dance of falling maple seeds.
Scientists at Umeå University have successfully developed an artificial intelligence-driven, self-driving forest machine that can run a 16-ton machine without human assistance.
In a recent study published in the scientific journal Nature Sustainability, a team led by Moussa El Jarroudi from the University of Liège demonstrates how to overcome challenges and how artificial intelligence can be practically integrated into agricultural systems to meet the expanding needs of sustainable food production.
A new AI system that counts flowers on fruit trees is helping farmers to predict harvest sizes months in advance, making crop yields more efficient, sustainable, and profitable.
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