By 2050, humanity will have to almost double the global supply of food to make sure that each planet's resident has enough food. As the climate change increases at the growing speed, water resources and the land of the arable Erode, making this balanced one will be a huge challenge for us.
Project FarmvibesThe new package of intelligent agricultural technologies from Microsoft Research will process your agricultural data. Microsoft has recently opened these tools so that software engineers and data scientists can use them to transform agriculture, dairy products and other data into activities that can help increase yields and reduce costs.
The tool set is available at Farmvibes.Ai. It contains a set of algorithms aimed at providing data researchers for data -based agriculture. Farmers around the world can use this AI technology to achieve effective decisions in every field and farms, from the best time to sow seeds to the ground, to the right time to draw harvest, for safe storage of influence. These algorithms work on Microsoft Azure and may suggest the exact amount of fertilizers and herbicides that farmers should use; Forecast weather conditions, temperatures and winds, ensuring the perfect time to plant crops; Calculate the correct depth for planting seeds based on soil, moisture and composition density; And tell farmers how various crops and practices can keep coal in their soil, while making it more nutritious.
Here are just a few tools that are now available to agricultural companies, farmers and every researcher who wants to contribute to healthy food production
- Async Fusion combines aerial and satellite images with data obtained from ground sensors. It is possible to create distribution charts of nutrients from multispectral images of drones and data points from sensors buried in soil, determining the speed at which fertilizers should be used, increasing efficiency and preventing excessive current. The next application is the creation of soil moisture maps, when and where the seeds should be planted in the fields.
- Paścieeye uses ML methods to remove clouds from satellite photos, enabling a large scale to use data to areas that cannot be covered with drones. These images can then be conveyed to tools of artificial intelligence to identify weeds, plant diseases and areas in need of herbicides.
- DeepMC uses weather data from sensors and short -term and intra -fifteenth forecasts to predict temperature, humidity, precipitation and wind directly on Earth. This is what farmers need: to learn the exact weather conditions in which crops grow, not a few meters above the ground given by a typical local forecast.
- The “What” query and analytics tool can estimate how various agricultural practices would affect the amount of sequestrated coal in soil for various scenarios and allows you to increase the crop while improving soil health. Maintaining the best practices can also be an additional source of income for farmers of sustainable development when they sell carbon loans received for maintaining carbon dioxide in the soil, not entering the atmosphere.
“Agriculture is the cause of climate change, which is most affected by climate change, but with the help of technology it can also be a solution for climate change,” say the authors of the tool set. “That is why we are open – to provide this community so that they can provide the best in science in soil, to unlock the possibility of enabling sustainable agriculture.”
