Robot Farmers and Chefs: In the Field and In Your Kitchen
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Food production and preparation have always been labor and capital intensive, but with the internet of things, low-cost sensors, cloud-computing ubiquity, and big data analysis, farmers and chefs are being replaced with connected, big data robots—not just in the field but also in your kitchen. Tim Gasper explores the tech stack, data science techniques, and use cases driving this revolution. As presented in 2017 at O'Reilly: Strata + Hadoop World Conference and Data Day Texas.
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Robot Farmers and Chefs: In the Field and In Your Kitchen
- 1. ROBOT FARMERS AND CHEFS in the field and in your kitchen @timgasper
- 4. THE MARCH TOWARDS AUTONOMY AND AI
- 6. RASPBERRY PI 2 B $5 RASPBERRY PI ZERO USB WIFI & BLUETOOTH $5 WIFI LINUX COMPUTER ($10 WIFI & BLUETOOTH)
- 9. BIG DATA & MACHINE DATA DATA SCIENCE, MACHINE LEARNING, DEEP LEARNING
- 10. FOOD INDUSTRY CHALLENGES • FOOD SHORTAGES & SURPLUSES • RAPID URBANIZATION • URBAN FOOD DESERTS • LABOR COSTS • TRAVEL COSTS • CLIMATE CHANGE • UNPREDICTABILITY OF YIELD • ROBUSTNESS OVER NUTRITION & TASTE
- 11. FARM AI AND AUTOMATION
- 13. TEXAS A&M
- 15. WALL-YE 1000
- 16. DEEP LEARNING ON 54,306 IMAGES 99.35% ACCURACY
- 17. https://arxiv.org/abs/1604.03169 1. Choice of deep learning architecture • AlexNet • GoogleNet 2. Choice of training mechanism • Transfer Learning • Training from Scratch 3. Choice of dataset type • Color • Gray scale • Leaf Segmented 4. Choice of training-testing set distribution • Train: 80%, Test: 20% • Train: 60%, Test: 40% • Train: 50%, Test: 50% • Solver type: Stochastic Gradient Descent • Base learning rate: 0.005 • Learning rate policy: Step (decreases by a factor of 10 every 30/3 epochs) • Momentum: 0.9 • Weight decay: 0.0005 • Gamma: 0.1 • Batch size: 24 (in case of GoogleNet), 100 (in case of AlexNet)
- 18. CUCUMBER SORTER
- 24. ZERO HUMANS
- 25. FARMBOT
- 27. PONOS
- 28. SENSORS x12 PI 2 B & CUSTOM PCB HARDWARE STACK ANALYTICS STACKWEB STACK
- 32. MOLEY ROBOTICS
Hinweis der Redaktion
- http://theconversation.com/farmers-of-the-future-will-utilize-drones-robots-and-gps-37739
- http://adigaskell.org/2015/08/21/texas-am-develop-the-next-generation-of-farming-drones/ The sensors being used typically include ultrasound devices to measure plant height, infrared thermometers to measure the temperature of the soil and of plants, and also hyperspectral sensors to measure the water content of leaves. They are also considering sensors to detect the normalized difference vegetation index (or photosynthesis rate to you and me).
- https://www.technologyreview.com/s/526491/agricultural-drones/ http://theconversation.com/farmers-of-the-future-will-utilize-drones-robots-and-gps-37739
- In the wine country of France, the Wall-Ye 1000 can often be seen pruning rows of grapes.
- https://arxiv.org/abs/1604.03169 CAFFE Using a public dataset of 54,306 images of diseased and healthy plant leaves collected under controlled conditions, we train a deep convolutional neural network to identify 14 crop species and 26 diseases (or absence thereof). The trained model achieves an accuracy of 99.35% on a held-out test set, demonstrating the feasibility of this approach. When testing the model on a set of images collected from trusted online sources - i.e. taken under conditions different from the images used for training - the model still achieves an accuracy of 31.4%.
- https://qz.com/295936/toshibas-high-tech-grow-rooms-are-churning-out-lettuce-that-never-needs-washing/ HYDROPONICS FEED ALL OF JAPAN
- http://gogreenagriculture.com/Home/ Happy Living Lettuce and other products
- http://modernfarmer.com/2015/10/worlds-first-robot-farm/ DOESN”T REQUIRE ANY PEOPLE AT ALL Japanese company called SPREAD (only step they are struggling to automate is the transplanting of the seedling when at proper germination level to long term growing bed but they are making good progress there.
- https://www.youtube.com/watch?v=uI7aHhy8tyU FARMBOT – OPEN SOURCE PROJECT
- https://github.com/farmbot
- Casabots Deepak Sekar
- Moley Robotics The robotic hands, which are notoriously difficult to create, use 20 motors, 24 joints and 129 sensors to create the same range of movements that a human hand can make.
- $15,000