Traditionally, analytical-based agricultural decision-making relied on mathematical models that are not optimized for the complexity of agricultural systems with strong interactions across time and space. Newer data science approaches (e.g. data mining, AI, and geospatial statistics) can leverage newly available datasets and other sources of information (e.g. remote sensing, georeferenced ground data, social media, video, text, voice, and other mobile phone-based data) to make sense of the complexity and provide actionable recommendations towards agricultural extension.
In this webinar, we will explore how to move from collective digital information to data-driven agronomy insights, the role of analytics in providing decision support to extension programs, and how to decide what analytical tool is most appropriate to create context-specific content.
Alice Laborte – Unit Leader of Spatial Transformation of Landscapes at the International Rice Research Institute (IRRI)
Matt Miller – Lead Data Scientist at iSDA
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The Effects of Artificial Intelligence
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It is that time of the new year. In January of every year, I write an article to help you think about your Home, Electronic and Personal Security. 2020 was a horrible year to say the least. The Virus has affected all of us in different ways. Working from home has dramatically increased. Computer, gaming, and social media has also increased. All of this increases our exposure to On-Line “Bad Actors”.
You Ma Be Breached
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FAQs About Simultaneous Localization and Mapping
If you are on this page, chances are that you want to get the answers to some most frequently asked questions about SLAM. In this article, we are going to give answers to some of these questions. Read on to find out more.
Visual SLAM Technology: Basics and Application
Visual Simultaneous Localization and Mapping (vSLAM) offers a lot of applications, which is why it is gaining popularity across the globe. As far as the commercial application is concerned, this technology is not developed enough yet. But it helps address the shortcomings of many navigation and vision systems.
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As far as robotics is concerned, that technology is pretty advanced. However, one major problem that experts face is mapping and localization as far as robotics are concerned. This is where SLAM comes to the rescue.
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If you are on this page, chances are there you want to get familiar with a new technology called visual slam. Basically, this technology is based on computer vision and offers accurate location data to vehicles, drones, machines, and robots. But the first question is, what SLAM is and what does it do.
7 Ways Technology Can Improve The Customer Experience
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