How can artificial intelligence technology combined with Big Data Analytics help in the development of sustainable organic farming as an important part of the green transformation of the agricultural sector?

How can artificial intelligence technology combined with Big Data Analytics help in the design, planning and development of a crop farm within the framework of the sustainable organic farming formula as an essential element of the green transformation of the agricultural sector, the green transformation of the economy and the protection of the climate, biosphere and biodiversity of the planet's natural ecosystems?

Generative artificial intelligence technology is used in various fields of economic activity, in business entities operating in different sectors of the economy, in different spheres of human activity. Intelligent chatbots available on the Internet are used, among other things, for the rapid development of plans, projects of various activities, ventures, etc. Since chatGPT and other similar intelligent chatbots were taught, trained using artificial neural networks as part of a deep learning process on large data sets downloaded from the Internet from selected database websites, libraries, indexing databases of scientific publications, articles and books, etc., so they take into account a large body of knowledge from various scientific disciplines. The aforementioned body of knowledge also covers various aspects of agriculture, including organic farming. In this regard, artificial intelligence technology combined with Big Data Analytics can help in the design, planning and development of a crop farm within the framework of the sustainable organic farming formula as an important component of the green transformation of the agricultural sector, the green transformation of the economy and the protection of the climate, biosphere and biodiversity of the planet's natural ecosystems. Planning for the green transformation of agriculture takes into account, first of all, increasing efficiency with a return to traditional agricultural techniques developed several centuries and more ago, i.e. agriculture without the use of pesticides, herbicides and other chemical pesticides; cultivated fields of small areas separated by green belts composed of flower meadows, shrubs, trees, forests; various vegetables and fruits grown side by side; crops characterized by high levels of biodiversity; incompletely regulated rivers, occurring floodplains, marshy areas not drained; additionally created ponds and other water reservoirs to collect rainwater; home gardens and orchards with beehive apiaries containing swarms of honey bees; compost piles with superfluous waste from used crops, etc. In addition, sustainable organic farming is being developed with the goal of decarbonizing agriculture in terms of greenhouse gas emissions, including methane, which is particularly dangerous to the climate. Reducing the emissivity will slow down the planet's greenhouse effect and slow down the progressive process of global warming. Besides, the green transformation of agriculture will reduce the scale of environmental pollution, deforestation, contribute to improving the microclimate, slow the process of soil aridity and reduce the scale of increasingly frequent periods of drought. Thus, thanks to the implemented green transformation of agriculture carried out in accordance with the implementation of the goals of sustainable development, climate and environmental social responsibility, the implementation of the principles of sustainable organic farming will significantly increase the scale of sustainability of agriculture in relation to the climate and the surrounding environment. Since in the framework of the carried out green transformation of agriculture, including the planning of farm organization in accordance with the formula of sustainable organic agriculture, it is necessary to take into account a lot of data, information on the ever-changing factors of climate, environment, soil, surrounding natural ecosystems of nature, different techniques of crop production, different varieties of crops, etc. so helpful in this regard probably is the application of analytical technology of multi-criteria processing of large sets of data and information using big Data Analytics platforms and generative technology of artificial intelligence enabling intelligent processing of large sets of data.

The key issues of opportunities and threats to the development of artificial intelligence technology are described in my article below:

OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT

Article OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL I...

I am conducting research on this issue. I have included the conclusions of my research in my article below:

IMPLEMENTATION OF THE PRINCIPLES OF SUSTAINABLE ECONOMY DEVELOPMENT AS A KEY ELEMENT OF THE PRO-ECOLOGICAL TRANSFORMATION OF THE ECONOMY TOWARDS GREEN ECONOMY AND CIRCULAR ECONOMY

Article IMPLEMENTATION OF THE PRINCIPLES OF SUSTAINABLE ECONOMY DEVE...

In view of the above, I address the following question to the esteemed community of scientists and researchers:

How can artificial intelligence technology combined with Big Data Analytics help in the design, planning and development of a crop farm within the framework of the sustainable organic farming formula as an important element of the green transformation of the agricultural sector, the green transformation of the economy and the protection of the climate, biosphere and biodiversity of the planet's natural ecosystems?

How can artificial intelligence technology and Big Data Analytics help in the development of sustainable organic agriculture?

What do you think about this topic?

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I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

The above text is entirely my own work written by me on the basis of my research.

In writing this text I did not use other sources or automatic text generation systems.

Copyright by Dariusz Prokopowicz