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.
In agricultural and remote sensing research, the precise estimation of Wheat's Leaf Area Index (LAI) through the utilization of unmanned aerial vehicle (UAV)-derived multispectral data is crucial for effectively monitoring crop health and growth.
Citrus, which is the most valuable fruit crop in the globe, is facing a crucial turning point as its production growth slows down and the focus shifts toward improving the quality of the fruit and post-harvest processes.
Highly valued data-intensive models are not as good at predicting the catch that a population can support as the CMSY method, which is used to evaluate the state of stocks of fish, has undergone a recent modification.
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