Meet us at California's Water Data Summit

 We'll be at the California Water Data Summit in a week! Join us to learn about AI in water - especially on how we build models with low-code or no-code.

What our community are reading

Moonshots, Models, IoT and Machine Learning in Agriculture

  What do Google, Climate Corporation, early stage startups in farm robotics, and researchers trying to figure out how to feed the world sustainably have in common? They’re all grappling with one of the toughest challenges of working with natural systems - how do you work with data that is sparse, unevenly distributed and with systems that have so many connections and interactions with other systems?     Before the advent of cheap sensors that are connected to phones, easily accessible satellite data and drones that can fly over fields quickly and inexpensively -     scientists in companies and academia worked on developing plant and crop models that incorporated as many aspects of the farm and as much data as was available so that they could understand and predict what was likely to happen on the field. Understandably, the forecasts took some time to produce and as the models grew more complex, issues about how to estimate model parameters and the uncertainty a...
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What’s the impact of your smartphone? Mapping the distribution and environmental impact of mines around the world

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How many different materials go into making your smartphone? According to the American Chemical Society, at least 64 different types of chemicals constitute your smartphone . Many of these materials, particularly the heavy earth metals, are extracted from the Earth through mining operations. Mining has been a part of human society for several thousand years now - from the shallow mines of earlier centuries to the more extractive ones created in the last hundred years. The challenge of mining and other extractive industries is that they are essential to many of our needs today - coal for energy, silicon for solar panels and heavy earths for electronics being among the well known ones. At the same time, they cause significant damage to local environments through the disturbance to the land caused by establishing the mine itself, to environmental impacts on water, land and ecosystems from mining operations.   So far, it’s been difficult to map the spatial extent and environmental impa...
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Building digital twins in clean tech - when water and electricity meet in a world with climate change

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Digital twins for water, electricity and smart cities have become more than just a buzzword in the past couple of years. As we’ve discussed before, a “digital twin” of any system is when data from the system, whether through sensors, satellite imagery, drones, robots or SCADA systems, are integrated to form a digital representation of what the system looks like over time. While there have always been researchers in academia and the scientific community working on aspects of these systems, we have seen an explosion of interest across all sectors in the past couple of years. Some of that interest is due to Covid, of course. When the shutdowns happened across the world, a key question that was asked of all physical facilities, especially critical infrastructure like water treatment plants, wastewater plants and power plants, was to develop methods that would allow for remote monitoring of these systems. The answer to that question was a combination of sensor data, machine learning both f...
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