Using AI for sustainable agriculture and forecasting

Channel:
Subscribers:
19,700
Published on ● Video Link: https://www.youtube.com/watch?v=6mrjZFKDlTM



Duration: 0:00
711 views
0


Applying nutrients to agricultural systems is critical to maximizing crop yields while minimizing the negative environmental impacts of fertilizers, such as nitrous oxide emissions or groundwater pollution. These goals can be achieved by timely calculating crop nutrient demand, which allows for precise fertilization management. In this talk, I will discuss non-invasive AI techniques to detect nutrient deficiencies from RGB images captured by smartphones or UAVs. Since it is very difficult to acquire training data of crops with nutrient deficiencies in the field, I will discuss how generative adversarial networks (GANs) can be trained in low data regimes where only one or very few training images are available. We show that the generated images can be used as a source for data augmentation to improve the segmentation accuracy of rare classes, one-shot semantic image segmentation, or one-shot video object segmentation. In the second part of the talk, a discussion on AI approaches for forecasting wildfires and vegetation. \n\n\nJoin the Neural Network!\nhttps://aiforgood.itu.int/neural-network/\nThe AI for Good networking community platform powered by AI. \nDesigned to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to advance the SDGs using AI.\n\n Watch the latest #AIforGood videos!\n\n\n Stay updated and join our weekly AI for Good newsletter:\nhttp://eepurl.com/gI2kJ5\n\nCheck out the latest AI for Good news:\nhttps://aiforgood.itu.int/newsroom/\n\nExplore the AI for Good blog:\nhttps://aiforgood.itu.int/ai-for-good-blog/\n\n Connect on our social media:\nWebsite: https://aiforgood.itu.int/\nTwitter: https://twitter.com/AIforGood\nLinkedIn Page: https://www.linkedin.com/company/26511907 \nLinkedIn Group: https://www.linkedin.com/groups/8567748 \nInstagram: https://www.instagram.com/aiforgood \nFacebook: https://www.facebook.com/AIforGood\n\nWhat is AI for Good?\nWe have less than 10 years to solve the UN SDGs and AI holds great promise to advance many of the sustainable development goals and targets.\nMore than a Summit, more than a movement, AI for Good is presented as a year round digital platform where AI innovators and problem owners learn, build and connect to help identify practical AI solutions to advance the United Nations Sustainable Development Goals.\nAI for Good is organized by ITU in partnership with 40 UN Sister Agencies and co-convened with Switzerland.\n\nDisclaimer:\nThe views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.




Other Videos By AI for Good


2023-12-05Building fast emulators in climate modeling
2023-12-042023 ITU GeoAI Challenge Finale: Cropland Mapping
2023-12-032023 ITU GeoAI Challenge Finale: Air Pollution Susceptibility Mapping
2023-12-03The cutting edge of AI in Finance: Views from a titan global innovator
2023-11-30An integrated modeling and simulation language for M&S based systems engineering
2023-11-29Toward AI-native 6G networks
2023-11-28WeatherBench 2 and the second revolution of weather prediction
2023-11-27Cognitively assistive robots for dementia care
2023-11-27Join the GeoAI Challenge in 2023!
2023-11-262023 tinyML Challenge Finale
2023-11-21Using AI for sustainable agriculture and forecasting
2023-11-14Simpler Machine Learning Models for a Complex World
2023-11-14ML Insights into Precipitation: Implicitly Learning Cloud Organization for Improved Predictions
2023-11-12Innovative, safe and responsible AI for all – AI for Good Global Summit 2024
2023-11-09Pervasive and Sustainable AI with Adaptive Computing
2023-11-07Model assessment & interpretation in Geospatial ML: spatial dependence & high dimensionality
2023-11-06Meet the Robotics for Good start-ups advancing sustainable development - 1st Session
2023-10-265G-Energy Consumption Modelling: AI/ML solutions for Climate Change
2023-10-24Machine learning for Earth Observation: Emissions, mitigation and sequestration
2023-10-24AI/ML Challenge Finale: QoS prediction, Network Traffic Scenario Prediction & SDN Security
2023-10-23Rehabilitation robotics: Advancing physical therapy for improved health outcomes