A study in Smart Agricultural Technology explores AI and IoT integration to optimize hydroponic crop growth, enhancing efficiency and sustainability. By employing machine learning and real-time data from IoT sensors, researchers achieved precise crop recommendations and environmental control, significantly improving hydroponic farming outcomes.
Researchers review advancements in greenhouse robotics, highlighting improved efficiency, reduced labor costs, and enhanced crop quality. The study focuses on design, perception, and control algorithms. Key applications include harvesting and spraying, with significant advancements in sensor systems and artificial vision.
Teledyne FLIR, part of Teledyne Technologies Incorporated, today announced the next mid-wave infrared (MWIR) Neutrino Ground ISR imaging module.
Researchers developed a cost-effective robotic camera system to capture images of greenhouse plants, enhancing plant growth monitoring and data analysis for precision agriculture. The system demonstrated high accuracy in plant identification, movement, and image quality, showcasing its potential to revolutionize agricultural practices.
Aston Institute of Photonic Technologies (AIPT) researcher Dr Sergey Sergeyev has been awarded a Royal Society Industry Fellowship to use remote sensing technologies to facilitate and lower the cost of crop monitoring.
Ecorobotix, a sustainable Swiss Agtech firm, active in the field of AI-based weeding, proudly announces the ongoing development of its newest AI software algorithms, now available as “beta versions” for testing by Ecorobotix clients.
Researchers introduced hybrid fuzzy PID controllers for quadcopter drones in agriculture, combining the adaptability of fuzzy logic with the precision of classical PID control.
The U.S. National Science Foundation and the U.S. Department of Agriculture's National Institute of Food and Agriculture (USDA NIFA) are teaming up to advance foundational research in agricultural robotics.
Septentrio, a leader in high-precision GNSS/INS positioning solutions, announces AntaRx-Si3.
Artificial intelligence can mimic the development and structure of trees, according to research from the Department of Computer Science and Institute for Digital Forestry at Purdue University and Kiel University in Germany.
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