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Smartphone photos may be able to predict rice

Rice provides 20% of the world’s food energy, with expected demand rising by 60% by 2050, but climate change, more extreme weather and evolving pathogens threaten farmers’ ability to produce enough of the crop. To help better predict crop yield — and how interventions may improve yield — an international research team has developed an approach that farmers may be able to implement using just a smartphone.
Yu Tanaka Japan General United States Keisuke Katsura Eisuke Takeuchi Kokou Ahouanton

Artificial intelligence can now estimate rice

The global demand for rice is projected to rise significantly by 2050, necessitating sustainable intensification of existing croplands. Now, Japanese researchers have made significant progress by developing deep-learning algorithms that can rapidly estimate rice yield through the analysis of thousands of photographs. The model exhibited high precision across diverse conditions and cultivars, surpassing previous methods, while effectively detecting yield differences between cultivars and also wit...
Yu Tanaka Kazuki Saito Okayama University International Rice Research Institute School Of Environmental Africa Rice Center

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