Agriculture 6.0 signifies the sixth generation of agriculture as a system focusing on smart decision-making and efficient and sustainable production practices. Leading that change, generative AI breaks through the door as a revolutionary tool that drives improvements to different aspects of the agricultural process. Thus, for example, the generative AI opens new avenues for synthesis of data on the basis of generative adversarial networks, construction of predictive models, and making determinations on the basis of machine learning technologies. On how generative AI can be used in Agriculture 6.0, several examples are listed below. It helps in improved estimation of the yield, timely management of resources such as water and fertilizers, and even surveillance of plant health by improving image as well as sensor data analysis. Moreover, climate-resilient farming is enhanced by AI-driven models insofar as they advance climate displays of different scenarios that may enable farmers to overcome changes in climate and constrained resources. As for sustainabilitySustainability, generative AI provides resource utilization optimization, optimal application of inputs like pesticides and soil health, and carbon sequestration. Another transformative area is generative AI, which increases the level of automation in agriculture by offering precision agriculture practices through drones, automated machinery, and robotics that may survey crops, remove weeds, and even harvest with limited interference from human beings. This chapter examines the relevance and uses of generative AI in the context of Agriculture 6.0 and how it can revolutionize productivity to reflect sustainable objectives. This is why RI is seizing generative AI in agriculture not just to feed the world but to chart the way forward where farming will be secure, productive, and sustainable.