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.
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.
Terms
While we only use edited and approved content for Azthena
answers, it may on occasions provide incorrect responses.
Please confirm any data provided with the related suppliers or
authors. We do not provide medical advice, if you search for
medical information you must always consult a medical
professional before acting on any information provided.
Your questions, but not your email details will be shared with
OpenAI and retained for 30 days in accordance with their
privacy principles.
Please do not ask questions that use sensitive or confidential
information.
Read the full Terms & Conditions.