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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. Join the Neural Network! https://aiforgood.itu.int/neural-network/ The AI for Good networking community platform powered by AI. Designed 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. Watch the latest #AIforGood videos! https://www.youtube.com/c/AIforGood/videos Stay updated and join our weekly AI for Good newsletter: http://eepurl.com/gI2kJ5 Check out the latest AI for Good news: https://aiforgood.itu.int/newsroom/ Explore the AI for Good blog: https://aiforgood.itu.int/ai-for-good-blog/ Connect on our social media: Website: https://aiforgood.itu.int/ Twitter: https://twitter.com/AIforGood LinkedIn Page: https://www.linkedin.com/company/26511907 LinkedIn Group: https://www.linkedin.com/groups/8567748 Instagram: https://www.instagram.com/aiforgood Facebook: https://www.facebook.com/AIforGood What is AI for Good? We 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. More 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. AI for Good is organized by ITU in partnership with 40 UN Sister Agencies and co-convened with Switzerland. Disclaimer: The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.
