Published Paper Details:

Agriculture is very important for the growth of the economy and ensuring that people have enough food, especially in countries that are still developing, like India. Even though it's important, the productivity of farming is often affected by things like changes in the weather that are hard to predict, choosing the wrong crops, not using water efficiently, and not having enough help from experts. In recent years, Artificial Intelligence (AI) has become a good solution for these problems by helping make decisions based on data and smart technology. Now, Generative AI has become popular because it can not only look at data but also explain and suggest things in a way that's easy for people to understand, like how humans would talk. This review paper looks at how Generative AI is being used in modern farming, especially for helping farmers decide which crops to grow, predicting how much they will harvest, and making farming more sustainable. It looks at the different machine learning methods currently used in agriculture, points out their weaknesses, and explains how Generative AI can make these tools easier to use, more clear, and build trust among farmers. The paper ends by saying that combining tools that predict the future with Generative AI can change traditional farming into a smarter, more explainable, and more sustainable way of growing food