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 ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

However, what AI vendors usually won’t tell you is that these solutions are only effective if you have a clean, solid data ...

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

San Francisco startup Eon Systems claims that it has created the first digital simulation of a fruit fly brain that can control a virtual body and produce recognizable behaviors. We'd call this "huge ...

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.

Capgemini initiates over 350 new generative AI projects with 2,000 deals in the pipeline. Trained over 120,000 employees on generative AI tools to enhance service capabilities. Despite a 2.5% revenue ...

The grand challenge facing global agriculture today is the need to increase food production to feed a rapidly growing population, amid diminishing natural and human resources and climate pressures.

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 ...

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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 ...