Precision agriculture uses computer science to make farms more efficient and reduce climate change

Precision agriculture uses computer science to make farms more efficient and reduce climate change

Subscribers:
351,000
Published on ● Video Link: https://www.youtube.com/watch?v=LzKl4q2vLuk



Duration: 4:51
16,008 views
369


On an 8,000-acre family farm in Eastern Washington, Microsoft Research helps deploy precision agriculture, putting AI and powerful data analysis tools in the hands of an eighth-generation farmer, enabling him to adapt to climate extremes and run a more efficient farm. The microclimate data can also help industries like oil and gas, supply chain, and wind and solar power, which operate in remote areas with limited connectivity.

Ranveer Chandra
CTO Agri-Food, Managing Director, Research for Industry
Microsoft Research

Andrew Nelson
Farmer, Software Engineer
Nelson Farms

Riyaz Pishori
Principal Program Manager
Microsoft Azure

Zerina Kapetanovic
PhD Student, FarmBeats Intern
University of Washington

Learn more about Farmbeats: https://www.microsoft.com/en-us/research/project/farmbeats-iot-agriculture/




Other Videos By Microsoft Research


2021-12-01A law of robustness and the importance of overparametrization in deep learning
2021-11-29Research for Industries (RFI) Lecture Series: Steven K. Frey
2021-11-24Research for Industries (RFI) Lecture Series: Matthew Realff & Christopher Jones
2021-11-23On Race and Technoculture
2021-11-08Acrylic, metal & a means of preparation: Imagining & living Black life beyond the surveillance state
2021-11-01FastNeRF: High-Fidelity Neural Rendering at 200FPS [Extended]
2021-10-29Full-Body Motion from a Single Head-Mounted Device: Generating SMPL Poses from Partial Observations
2021-10-29Litmus Predictor
2021-10-25Interview and Q&A with Jenny Sabin, Creator of the Ada Installation in Microsoft Building 99
2021-10-20Microsoft Research 2021 Global PhD Fellowship Recipients
2021-10-19Precision agriculture uses computer science to make farms more efficient and reduce climate change
2021-10-19Working at Microsoft Research Cambridge
2021-10-14Accelerating AI Innovation by Optimizing Infrastructure. With Dr. Muthian Sivathanu
2021-10-11In-Air Device Formations for Cross-Device Interaction via Multiple Spatially-Aware Armatures
2021-10-10HapticBots: Distributed Encountered-type Haptics for VR with Multiple Shape-changing Mobile Robots
2021-10-10X-Rings: A Hand-mounted 360 Degree Shape Display for Grasping in Virtual Reality [UIST 2021]
2021-10-07Convergence between CV and NLP Modeling and Learning
2021-10-05Safe Real-World Autonomy in Uncertain and Unstructured Environments
2021-10-05Women of Color and the Digital Labor of Repair
2021-10-01Fake It Till You Make It: Face Analysis In The Wild Using Synthetic Data Alone
2021-09-23ALIGN: Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision