Artificial Intelligence is playing an important role in agriculture. AI is improving sustainability by promoting the use of artificial intelligence and other technologies.

Artificial intelligence (AI) has the potential to transform the Indian economy by promoting the use of AI and other technologies. AI can help farmers make better decisions about when to plant, irrigate, fertilize and harvest their crops. It can also help them monitor crop health and detect pests and diseases early on. AI can also help farmers optimize their use of resources such as water and fertilizer, which can lead to higher yields and lower costs.

Dr Chuck A Arize thank you for your contribution to the discussion

AI Enhances Labor and Capital. The debate over the conclusion that AI enhances the quality of labor as well as the quality of capital. In the traditional economic development model, the three production factors, i.e., capital, labor and total factor productivity (TFP), determine the development dynamics of the economy. AI can increase the efficiency with which things are done and vastly improve the decision-making process by analyzing large amounts of data. It can also spawn the creation of new products and services, markets and industries, thereby boosting consumer demand and generating new revenue streams. The event examined how AI and related technologies are being applied to a broad array of challenges in global development from predicting migration patterns and crop yields, to detecting corruption, estimating poverty, and learning about consumers at the base of the economic pyramid. AI-powered machines can store and analyse data to generate insights such as trends, user behaviors, business insights, etc., to predict events and make future projections. AI can also greatly mimic human faculties of reading, seeing, and speaking. The Indian government is aiming to leverage AI, predominantly for inclusive development and social empowerment, to improve manufacturing, productivity, and healthcare, and enable new agricultural technologies and power sustainability. AI can help detect field boundaries and bodies of water to enable sustainable farming practices, improve crop yields, and support India's 1.4 billion people and the rest of the world. AI-enabled technologies predict weather conditions, analyze crop sustainability, and evaluate farms for the presence of diseases or pests, as well as poor plant nutrition, using data such as temperature, precipitation, wind speed, and solar radiation in conjunction with machine learning algorithms and images captured. Real-world use cases toward sustainability depend on the industry. Retailers use AI to optimize energy use in stores and reduce transport emissions for product delivery. E-commerce companies use AI to optimize shipping routes and reduce emissions from delivery trucks. The impact score (IS) 2022 of Artificial Intelligence in Agriculture is 10.26, which is computed in 2023 as per its definition. Artificial Intelligence in Agriculture is decreased by a factor of 14.41 and approximate percentage change is -58.41% when compared to preceding year 2021, which shows a falling trend. Sustainable AI is the use of artificial intelligence (AI) systems that operate in ways contingent with sustainable business practices. Many current enterprise AI systems have a reputation for being detrimental to the environment, but doable practices can mitigate this.AI can help detect field boundaries and bodies of water to enable sustainable farming practices, improve crop yields, and support India's 1.4 billion people and the rest of the world.