What is the use of big data artificial intelligence in Indian agriculture in achieving sustainable development goals?
Artificial intelligence and big data are tools that process vast amounts of information to provide us with answers that were previously hard or time-consuming to obtain.
I can't give you a perspective focused on India, but from a general standpoint in agriculture, it could be applied in scenarios such as determining the best time to plant a specific crop based on weather data or even predicting diseases in plants before they manifest. Imagine being able to know that a pest infestation is coming and being able to act before it arrives. Also, instead of watering a field hoping it's enough, with the help of sensors and AI, one can determine exactly how much water a crop needs, avoiding waste and conserving this resource.
Regarding sustainable development, by improving efficiency in agriculture, waste is reduced, resources are conserved, and food can be produced in a more sustainable manner
In agriculture, big data analytics can optimize crop production, minimize water usage, and mitigate the environmental impact of farming practices. In urban planning, AI-powered models can optimize transportation systems, reduce congestion, and improve energy efficiency. By enabling smart grids that partially match energy demand to periods when the sun is shining, and the wind is blowing, AI can also help to integrate variable renewable. Advanced AI technologies, research, and product creation may necessitate vast computer resources only available in substantial computing centres. Through forecasting and predictive analytics, farmers can minimize the risk of crop failures. As, lntello Labs is a startup company in India that uses artificial intelligence (AI) to help farmers analyze the quality of their produce and reduce food loss. The role of artificial intelligence in achieving the Sustainable Development Goals. Notably, AI enables new technologies that improve efficiency and productivity, but it may also lead to increased inequalities among and within countries, thus hindering the achievement of the 2030 Agenda. AI can be used, for instance, to manage environmental consequences and changes in a variety of economic contexts and settings. These are just a few examples of potential uses, which also include safer supply chains, environmental control and regulation, and weather forecasting. AI has the capacity to improve production, increase efficiency and improve safety along production lines. AI-powered robots can continuously work around the clock; this ensures a continuous supply of output. AI algorithms can be used to analyze soil data and weather patterns, enabling farmers to make more informed decisions about irrigation, fertilizer use, and other farming practices that can impact soil health and water quality. AI can also play a role in reducing waste and improving recycling systems.