一个新的人工智能工具使用智能手机图像预测鳄梨成熟程度,精确度达到92%,有助于减少食物浪费。 A new AI tool uses smartphone images to predict avocado ripeness with 92% accuracy, helping reduce food waste.

来自俄勒冈州立大学和佛罗里达州立大学的研究人员建立了智能电话AI系统,利用1 400多张iPhone图像预测鳄梨成熟度和质量,在固态预测中达到近92%的准确度,在发现新鲜度方面达到84%以上。 Researchers from Oregon State and Florida State Universities have created a smartphone AI system that predicts avocado ripeness and quality using over 1,400 iPhone images, achieving nearly 92% accuracy in firmness prediction and over 84% in detecting freshness. 深层学习模型自动分析形状和质地等视觉特征,改进了以往的方法。 The deep learning model analyzes visual features like shape and texture automatically, improving on past methods. 该工具旨在减少粮食废物,支持到2030年将废物减少50%的国家目标,并帮助消费者和零售商更有效地收获水果。 The tool aims to reduce food waste, support national goals to cut waste by 50% by 2030, and help consumers and retailers sort fruit more effectively. 这些研究结果发表在《粮食科学当前研究》上,表明有可能向其他食品扩展。 The findings, published in Current Research in Food Science, suggest potential for expansion to other foods.