With eyes toward the future, lest all aspire to be a better person tomorrow. Not only must we accept this task for our selfs, but also for the generations after us, for our children, our neighbors and friends, for their children, for life as we know it.  In search for the better in humanity i pledge my time, resources and connections to work towards our common goal as citizens of Asgardia and citizens of the human race.

Ex army officer, ex senior civil servant, currently catholic priest/monk.

Concerns :

Commercialism (regarding: exploit objects, people, or the environment for private gain for the purpose of generating profit)

Environmental Sustainability

1. For renewable resources, the rate of harvest should not exceed the rate of regeneration (sustainable yield);

2. [For pollution] The rates of waste generation from projects should not exceed the assimilative capacity of the environment (sustainable waste disposal); and

3. For non renewable resources the depletion of the nonrenewable resources should require comparable development of renewable substitutes for that resource.

Human Rights (where all people have the same rights).

Just to add a little more background to Midland, Texas, I would like to share some facts about Midland and the Permian Basin in general.

1. The Permian Basin produced more than half of the world's oil in WW2

2. Midland, TX is considered the wealthiest town in the U.S.

(that wealth sure isn't put back into the school system!)

3. The Permian Basin holds over 9.8 billion barrels in oil reserves

4. The sister city of Midland is Odessa, is the stage of the popular TV show "Friday Night Lights."

5. The Bush family is from Midland

(it has been predicted that if the US broke ties with foreign oil suppliers, the Permian Basin could sustain all the oil needs of the US)

While there is a large upper class in Midland, for the most part, Midland is quite poor. Very little money flows down to the school system, as many big buck citizens put their children in private education. Most of the population is Mexican, a little less Whites, and a small percentage of Black citizens. Midland is also considered a refugee city, so many have fled from Burma, Cambodia, and Bangladesh.

AI in agriculture

What is Mixed Reality?

Mixed Reality (MR) is a term gaining its popularity today. It defines a combination or union of two virtual environments where two worlds coexist together. Sometimes a mixed reality is called a hybrid reality.

Let's discover some mixed reality examples. It makes it possible to simultaneously investigate a virtual environment and real world as a single whole. Using real environment and coordinates virtual objects can be placed in a real world. When a user approaches a certain object, it is enlarging, when moves away - it is shrinking. Owing to a virtual reality, users can explore an object from different angles and at any distance. Besides, a mixed reality allows users to affect virtual object and interact with them as if they were in the same place.

Mixed reality in action

Mixed reality can turn your smartphone into an interactive handbook where the informational environment for places we are located in is building on. How does MR technology affect farming ? 3D-mapping technology makes it possible to turn fields into the virtual environment where farmers can generate different scenarios of crop cultivation, even if they seem fantastic in real life. Special software combined with webcams in a virtual environment augment physical objects as well as integrate us into the virtual world.

Owing to unique capabilities and experience a hybrid reality has, developers start investigating different ways of efficient use of this technology in diversified areas. Present-day medicine, architecture, education, and smart farming are the most advantageous fields for the application of a hybrid reality technology.

Machine learning in agriculture

Machine learning - a complex statistics application for search of consistent patterns in data and development of required forecasts - has eased the process of a task assignment. Developers do not have any longer to build special programs for their computers to solve one task or another. Instead of this, a computer is taught to find the problem by itself, without any assistance. A real breakthrough in the world of information technologies. And, considering technical capabilities of AI, agriculture field cannot be ignored.

History of machine learning has begun in the 1950s when computer scientists managed to teach a computer to play chess. Since then, together with computing capacity, the complexity of consistent patterns and forecasts computer is capable of drafting and detecting has been growing. As well as the complexity of problems computer can resolve today, and farming problems are also included in this list. Moreover, machine learning is a subdivision of artificial intelligence (AI) , so complex methods of smart intelligence are applied in ML technology.

AI pyramid - machine learning position

How does ML work in farming practices ? The algorithm gets a range of training data and then uses it for requests processing. For example, you can upload in the computer a few pictures with the description like 'A flower is depicted on the image' and 'There are no flowers at this image'. If you add new images to the database after this, it will start identifying pictures with flowers on its own.

The algorithm keeps on improving. Right and wrong results of an image recognition are sent to the database, and software is becoming smarter with every processed image. In some sense, such process can be compared to building a muscle - the more you train, the stronger you get. The more images you have downloaded in the program, the more precise result it will produce.