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cover of episode Grape Growers' Next Collaborators? Robots

Grape Growers' Next Collaborators? Robots

2024/12/10
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Short Wave

AI Deep Dive AI Insights AI Chapters Transcript
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H
Hannah Chinn
P
Philip Lujan
Y
Yu Jiang
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Hannah Chinn:报道了在葡萄园中使用机器人的情况,这种机器人可以自动在葡萄藤间移动,拍摄葡萄藤的照片用于诊断问题,并介绍了机器人的外观和功能。 Yu Jiang:作为葡萄机器人领域的专家,他介绍了团队研发的葡萄扫描机器人,以及该机器人如何利用人工智能技术进行疾病检测,并解释了该技术在提高效率和减轻工人负担方面的优势。他还提到了机器人技术在解决光线问题方面的创新,以及未来机器人可能具备的喷洒功能。 Philip Lujan:作为植物病理学家,他详细解释了白粉病和霜霉病对葡萄种植的危害,包括降低葡萄品质、产量和含糖量等,并强调了病原体抗药性增强的问题,以及尽早检测和治疗的重要性。他认为,机器人技术可以有效地帮助种植者尽早发现并处理疾病,从而减少杀菌剂的使用,并保护环境。 Hannah Chinn:详细描述了机器人工作的流程,包括图像采集、数据传输、AI分析和结果输出等环节,并解释了机器人如何利用人工智能技术识别不同类型的霉菌,以及该技术在提高检测准确率方面的优势。她还提到了机器人技术在解决光线问题方面的创新,以及未来机器人可能具备的喷洒功能。 Yu Jiang:介绍了团队研发的葡萄扫描机器人,以及该机器人如何利用人工智能技术进行疾病检测,并解释了该技术在提高效率和减轻工人负担方面的优势。他还提到了机器人技术在解决光线问题方面的创新,以及未来机器人可能具备的喷洒功能,并对机器人技术的未来发展方向进行了展望。 Philip Lujan:详细解释了白粉病和霜霉病对葡萄种植的危害,包括降低葡萄品质、产量和含糖量等,并强调了病原体抗药性增强的问题,以及尽早检测和治疗的重要性。他认为,机器人技术可以有效地帮助种植者尽早发现并处理疾病,从而减少杀菌剂的使用,并保护环境。

Deep Dive

Key Insights

What is the PhytoPatholoBot, and what does it do?

The PhytoPatholoBot is a robot designed to monitor grape vines in vineyards, scanning for diseases like mildew. It uses cameras to take thousands of images and employs AI to detect infections.

Why are robots like the PhytoPatholoBot important for grape growers?

Robots help detect diseases like powdery and downy mildew early, reducing the need for frequent fungicide sprays and preventing crop loss. They also alleviate the labor-intensive task of manual inspection.

What are the two main diseases affecting grapes that the robots are designed to detect?

The two main diseases are powdery mildew and downy mildew. Powdery mildew appears as white powder on leaves, while downy mildew causes yellowing and oil-spot-like discoloration.

How does powdery mildew spread and affect grape vines?

Powdery mildew can overwinter and spread through rain splash in the spring, infecting new leaves. It reduces photosynthesis, crop yields, and grape quality, making the crop unsuitable for wine production if left untreated.

What challenges do grape growers face in detecting mildew early?

Early detection requires skilled workers to manually inspect vines in the field, which is labor-intensive and physically demanding. Additionally, pathogens are evolving resistance to fungicides faster than new treatments can be developed.

How does the PhytoPatholoBot use AI to detect mildew?

The robot takes thousands of photos with a flash to ensure consistent lighting, which are then analyzed by an AI model. The AI compares images to identify disease symptoms and generates a map showing infection severity across the vineyard.

What is the accuracy of the PhytoPatholoBot in detecting diseases?

The robot achieves over 90% accuracy in detecting diseases like downy mildew, powdery mildew, and associated viruses across different states, including California, New York, and Western Virginia.

What are the future plans for the PhytoPatholoBot?

Future versions aim to equip the robots with spray systems to treat infections directly in the field. The next generation will also feature self-driving capabilities and faster scanning using cameras on both sides.

How do local grape farmers and neighbors feel about the robots?

While some neighbors were initially concerned, understanding has grown through outreach. Farmers see the robots as a way to complement their work, reducing labor and improving efficiency without replacing human jobs.

Chapters
This episode introduces the use of robots in vineyards to detect and potentially treat grape diseases. The robots, called phytopathologbots, utilize AI and image analysis to identify mildew infections.
  • Phytopathologbots, or PPBs, are robots used to monitor vineyards.
  • They use cameras to scan grapevines for signs of disease.
  • The robots are about five feet tall and resemble WALL-E crossed with a floor lamp.

Shownotes Transcript

If you crossed WALL-E with a floor lamp, it might look a little like the PhytoPatholoBot. These robots aren't roving through space or decorating a living room — they're monitoring the stems, leaves and fruit of Cornell AgriTech's vineyards, rolling down each row and scanning for mildew.In this episode, host Emily Kwong and producer Hannah Chinn take a trip to Cornell to check out these new robots. How do they work? How effective are they? And what do local grape farmers – and neighbors – think about them? *Interested in more robotics stories? Email us at [email protected]). We'd love to hear from you!*Learn more about sponsor message choices: podcastchoices.com/adchoices)NPR Privacy Policy)