With 2050 approaching, the world's population is expected to reach 9.7 billion, which will require a significant increase in food production. Unfortunately, the problem of starvation persists, with more than 1 billion hungry falling asleep every day in 2021, and experts point out that the situation has been deteriorating over the past five years. Fortunately, many pundits agree that contemporary technologies, including artificial intelligence (AI), can improve the global view of agricultural production.

Climate problems lead to the change of temperature and rainfall patterns, which is the main reason for the transformation of irrigation water supply for crop growth and development to a certain extent. On the contrary, this change in climate and landscape has led to crop production restrictions. Modern technology can use communications satellite imaging to evaluate deforestation, and authoritative experts can detect areas that must be maintained and assist in the implementation of policies and regulations to avoid further damage according to the distinction between flowers and trees, crops, woodland and felling areas.

The second factor that endangers world food production is crop production. Artificial intelligence technology has also seen its ability to improve the main performance of crops by applying communication satellite spectrometers and combining temperature, planting and soil layer data information according to radar detection. Suggestions are made to maximize crop production. Machine learning algorithm is compared with different regional data, and adjusts the proposal according to the regional difference.

Researchers are also using artificial intelligence technology to support animal labor productivity, especially dairy cattle, who are subject to a series of natural environmental, regulatory and genetic constraints. In some hypothetical cases, machine learning algorithms and data analysis are used to analyze and predict the characteristics of possible genetic inheritance and the main performance of the offspring of two animals after mating. Although parents donate 50% of their genes to their offspring, external factors such as nutrition, air temperature, water, illness, ambient temperature and nursing stress can also affect animal performance. Technology can also classify animals according to this condition and predict and analyze these future developments based on the collected data and information.

The difference between enterprises and small farmers

Unfortunately, although the technology is becoming more widespread, there is still a problem that needs to be addressed. Small farmers around the world have great potential for development in alleviating the plight of the world food crisis, but it is difficult for them to obtain modern technological and data-driven inputs related to the criteria for seasonal changes in soil layers and plant communities needed for sustainable development.

Objectively speaking, nearly 1/3 of the world's population are small farmers who work on farms of less than 5 square kilometers. At this stage, this kind of large farm has been trying to produce enough food to feed the residents living on that land. By comparison, in G20 China, farmers generally have access to contemporary technology, allowing them to operate their big farms as commercial service enterprises, producing enough food to live on the land and eat for more than a hundred people in their families. As a result, there is a very large vacancy in the use of land resources.

To get rid of this test, we must open a new era of data-driven agriculture and animal husbandry, so that farmers can use the energy of technology to collect, analyze and apply data and information to make wise choices, but the cost of small farmers and large farms can be achieved. A data-driven perspective can be incorporated into farming practices where smallholder and family farmers can increase crop production, increase profits, and contribute to food production security around the world.

Promote the agro-ecological world

Dimitra, a global AgTech company with a distributed ledger, hopes to bridge this gap through its interconnection of farmers' platforms and collaboration between governments and social organizations, which will be made available to small farmers in developing countries completely free of charge.

In the process of cooperating with each other on this daily mission, the Dimitra team shared:

"every small farmer, regardless of his economic strength, should be able to benefit from simple, beautiful and valuable technology.] As the peasants prosper, so does the economic development.

Users of the site can form detailed car dashboard reports, track agricultural activities, and receive proposals for a stronger decision-making process. However, unlike traditional solutions, Dimitra is built on the premise of Internet technology and mobile and artificial intelligence algorithms to ensure the polarization of farmers, ensure the security of company-level network information, and promote security tracking and tracking. More crucially, Dimitra's deforestation compliance management module and crop performance services add a full range of profit improvement solutions for farmers around the world.