UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.
When it comes to drought stress, timing can be the difference between saving a crop and losing it, whether in a greenhouse or in the high-stakes environment of future space missions. In a recent study ...
Abstract: Image cropping aims to find more attractive crops for users by recomposing images. With the development of mobile social media, the significance of this technology is increasingly evident.
What is an AI model? An AI model is a computer program that’s been trained to recognize data patterns, analyze data, and make predictions or decisions based on that data. AI models are built using ...
Sugarcane smut and Pachymetra root rots are two serious diseases of sugarcane, with susceptible infected crops losing over 30% of yield. A heritable component to both diseases has been demonstrated, ...
This codebase is the implementation of the GNN-RNN model (AAAI 2022) for crop yield prediction in the US. GNN-RNN is the first machine learning method that embeds geographical knowledge in crop yield ...
The United Nations Paris Agreement aims to hold global warming well below 2 °C and pursue 1.5 °C. Given the clear evidence for accelerating climate impacts, the time remaining until these global ...
Though we’re living through a time of extraordinary innovation in GPU-accelerated machine learning, the latest research papers frequently (and prominently) feature algorithms that are decades, in ...
West Coast Metabolomics Center, UC Davis Genome Center, University of California, Davis, 451 Health Sciences Drive, Davis, California 95616, United States RIKEN Center for Sustainable Resource Science ...
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