Researchers in Italy have announced the first effective use of commercial drones and artificial intelligence (AI) to monitor the invasive agricultural pest, Halyomorpha halys, also known as the brown marmorated stink bug.
A recent Agronomy article highlights the transformative potential of AI, sensors, and robotics in agriculture, focusing on their roles in enhancing efficiency, productivity, and sustainability. While these technologies promise significant advancements, challenges like high costs and complexity remain, necessitating further research and collaboration among stakeholders.
Researchers from the University of Southampton employ AI and drones to find a mate for the critically endangered Encephalartos woodii, an ancient plant species. Their interdisciplinary approach blends science, technology, and art to save this species from extinction, inspiring hope and innovation in conservation efforts.
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.
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