Environment

Together with scientists from the Far Eastern Federal University and students from the School of Data Analysis, we created and trained a neural network to determine the volume, mass, and types of garbage. It helps environmental control services and volunteers simplify waste collection in coastal areas.

A joint project between Yandex Cloud and St. Petersburg State University helps assess the dynamics of stickleback populations, study reservoirs’ ecosystems, and better understand fish population sizes.

Ash clouds disrupt transport systems, and affect human health and the ecosystem. We developed a service that helps track the spread of ash and eliminate the effects of emissions around the world more quickly. The technology is already in use with volcanoes in Kamchatka.

A team of scientists and researchers unveiled a neural network for monitoring the Lake Baikal ecosystem from the Yandex Cloud platform. It’s an important project for keeping an eye on how the lake is doing, assessing the local impact of climate change, and measuring fish populations.

With the help of ML algorithms, scientists can determine the spread of endangered tree and grass species, and farmers can prevent crop losses.

New technologies extend the forecast period for meteorological anomalies in the Pacific Ocean, and scientists from the Higher School of Economics and the Yandex School of Data Analysis built a model that predicts El Niño.

October 23 is celebrated as International Snow Leopard Day. Denis Malikov of the Saylyugemsky National Park and Dmitry Rybalko of Yandex Cloud tell about the neural network they created to process data from camera traps.