AI has the potential to promote more productive agricultural practices

Artificial intelligence (AI) is evolving exponentially, from SIRI to self-driving vehicles. It is today's the most discussed technology. The idea of making AI a part of our daily lives is an idea that most of us could overpower, but the truth is that in most corporate and domestic sectors, AI is already commonplace.

Agriculture includes a variety of processes, in which a number of goods are produced by natural resources. The agricultural industry consists of numerous operations, including harvesting crops, plants, feeding animals, grazing, etc. It involves soil preparation for maximum returns, crop enhancement, horticultural services, landscaping services, veterinary services, labor or farming management, etc.

By 2050, the global population is projected to surpass 9 billion and agricultural production needs to double (70%) to meet demand. Due to multiple economic, environmental, and sociological powers, land, water, and resources are already becoming inadequate. Reduced production of food is having a particularly devastating effect on developing countries. In order to fight global warming, AI has the potential to promote more productive agricultural practices, but only with an expanded regulation of its growth.

In the domain of agriculture, AI is an evolving technology. Equipment and machines based on AI have brought today's farming system to a new level. This technology has increased the productivity of crops and enhanced tracking, harvesting, processing, and marketing in real-time. AI bots can harvest crops at a higher volume and faster speed than human workers in the agricultural sector. It helps to track the weed and spray it by using computer vision. Artificial Intelligence also allows farmers to find more successful ways of protecting their crops from weeds.

Farmers are now using AI for techniques such as precision farming, tracking crop humidity, soil composition, and temperature in growing areas, allowing them to increase their yields by studying how to take care of their crops and deciding the optimal amount of water or fertilizer to be used. In fact, robots and machine learning are helping to promote new, more efficient agricultural methods that take agriculture indoors and to new heights to save energy, reduce pesticides, and shortening the market time. These robots grow food with no farmers, more like a lean factory than a plant.

Agricultural technology has come a long way, from the invention of grain elevators and artificial fertilizers to the use of satellites. It's too early, however, to talk of a full digital revolution in this industry. The productivity of the farming industry will be greatly improved by AI. The need for better AI solutions in agriculture will, inevitably, only evolve. But in terms of proper investment and testing, we need to make sure there is a collaboration between governments, science, and businesses.

Therefore, AI is developing beyond the farming industry. We expect to see more exciting solutions as the future of AI in agriculture will pave the way for growth in other industries as the AI sector expands at a rapid pace to resolve our future problems.