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Reading: This AI algorithm counts tree flowers to forecast crop yields months ahead.
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Sustainability / This AI algorithm counts tree flowers to forecast crop yields months ahead.
Sustainability

This AI algorithm counts tree flowers to forecast crop yields months ahead.

Fruit farmers can predict crops using AI tool that counts tree flowers

Daniel Reed
ByDaniel Reed
AI Research, Safety & Ethics Analyst
Daniel Reed currently works as an AI Research, Safety & Ethics Analyst at Aiholics, writing about how changes in artificial intelligence are affecting and will affect...
- AI Research, Safety & Ethics Analyst
Published: June 19, 2024
3 Min Read
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A cutting-edge AI system is revolutionizing the way fruit farmers predict harvest sizes, making crop yields more efficient, sustainable, and profitable. This innovative tool, developed by researchers at the National Robotarium in collaboration with scientific partners in Chile and Spain, accurately estimates the number of flowers on fruit trees using images taken with a standard smartphone. By recognizing patterns and features such as the edges and shapes of petals, even when overlapping or partially obscured, the AI system provides precise yield forecasts months in advance.

When tested on peach orchards in Catalonia, Spain, the AI demonstrated a 90% accuracy in predicting flower counts, a significant improvement over current manual methods which can have error rates of 30-50%. This accuracy allows growers to optimize water use, allocate resources more efficiently, and better plan for harvesting and distribution logistics. This is particularly crucial given that agriculture accounts for 65% of the world’s fresh water usage, with nearly half of it being wasted, and approximately 45% of fruit and vegetables lost annually in the global supply chain.

Researchers from the National Robotarium, the UK‘s center for robotics and AI based in Edinburgh, will validate the AI’s predictions against the actual peach harvest in September 2024. If effective, this approach could be adapted for other crops like apples, pears, and cherries, benefiting fruit growers across Britain, Europe, and beyond.

Supported by the Data-Driven Innovation initiative, with funding from the UK and Scottish Governments, the National Robotarium aims to make Edinburgh the data capital of Europe. Dr. Fernando Auat Cheein, associate professor in robotics and autonomous systems at the National Robotarium, emphasized the ease with which the AI integrates with traditional farming practices. Farmers appreciate the simplicity and accuracy of the flower counting AI, which helps them make informed decisions about crop management, resource optimization, and environmental impact reduction.

This research, involving collaboration with Chilean universities, positions the National Robotarium at the forefront of agricultural innovation, using AI and robotics to tackle real-world challenges and create tangible benefits for farmers and the environment.

TAGGED:Featured
SOURCES:National Robotarium

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ByDaniel Reed
AI Research, Safety & Ethics Analyst
Daniel Reed currently works as an AI Research, Safety & Ethics Analyst at Aiholics, writing about how changes in artificial intelligence are affecting and will affect scholarship, society, and human civilization. He reports on breakthroughs in AI research, the development of safety frameworks, discussion of long-term risks, and ethical challenges; he also reports on global shifts in policy and governance. Daniel aims to make complex research papers and long-term thinking accessible to the everyday reader without sacrificing nuance. With his thoughtful and analytical style of writing, Daniel translates advanced topics into clear language. He targets questions that really matter: how safe are today's AI systems, what kind of ethical boundaries do we need, and how could exponential progress affect the way education, jobs, governance, and human values are shaped? His articles are often not just expert opinions but also balanced views and insight into emerging debates that define AI's place in the world. Daniel believes responsible AI development begins with awareness, transparency, and informed public conversation. In terms of his work with Aiholics, he encourages readers to look beyond headlines to understand the promise of artificial intelligence but also some of its consequences.
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