Innovations in agriculture as a function of sustainable development

Innovation and inventiveness are key drivers of the economy, business, society, and civilization. Small and medium-sized enterprises are generators of innovation in every country that seriously engages in the economy and consequently achieves a comparative advantage and competitive advantage of its companies. Recognizing innovation and inventiveness as a significant factor in the development of the economy of each country, we must learn from countries that have reached the peak in this field, such as the USA, China, and Israel, which are currently some of the most innovative in the field of agriculture, but also in other areas. By 2050, the demand for food will surge 70%, in line with rapid population growth. A UN study found that about 9.9% of the world’s population still goes hungry, so the thought of feeding almost 10 billion mouths is a daunting prospect. Putting the right things, in the right place, at the right time is one of the basic principles of precision agriculture. With the idea of organized fight against hunger, as well as organized entrepreneurship for the sake of making a profit, these countries use the opportunity that is unique at the moment when the number of inhabitants of the country is rapidly increasing and when there is less and less food, to digitally and technologically improve their agriculture, because in the opinion of these states, the economy and companies, that is where the future lies.With environmental changes hard to predict, we must turn to innovation in agriculture technology. The farm is becoming a data factory, with sensors and other technology collecting thousands of data points about everything from soil quality to humidity and crop yields. Big data & analytics can help farmers decide when to plant and harvest, how much water or fertilizer to use, and how much seed they should sow. Farming operations are subject to weather and environmental changes, which are difficult to access, especially for large farms. Applying big data and analytics in agriculture help farmers predict water cycles or rainfall patterns. In terms of the methodology used in the preparation of this work, numerous literature from this young but propulsive field of information technology was used. Various qualitative, quantitative, as well as scientifically inteconnected methods were applied in this paper. From scientifically interconnected methods, we used the scientific method of analysis and synthesis, inductive and deductive scientific methods, scientific methods of abstraction and concretization, methods of generalization, and specialization.