Agriculture plays a significant role in a country's economy; however, the industry faces various challenges such as climate changes, natural calamities, and limited resources. One way to address these challenges is by implementing Artificial Intelligence (AI) technology in the agricultural sector. This paper aims to explore the potential benefits of AI-based systems for agriculture and provide an overview of the existing research. The study is based on an extensive literature review of academic journals, research papers, and industry reports. The paper provides an in-depth insight into how AI can revolutionize the agriculture sector by addressing various challenges that the industry faces. The research identifies AI-based systems that can help farmers increase productivity, reduce costs, and improve agricultural output quality. The use of machine learning algorithms can help predict the weather, soil moisture level, and pest infestation, enabling farmers to make better-informed decisions about crop production. AI-based tools can help detect crop diseases earlier, allowing for early treatment and faster response time. AI-based systems can also optimize the processing and distribution of agricultural products through automated systems that can adjust for supply chain factors such as demand, warehousing, and logistics. Furthermore, this paper identifies several challenges in adopting AI in the agricultural sector, such as a lack of awareness, cost, and limited access to technology. The research also suggests solutions that can help overcome these challenges, such as government support, subsidies, and partnerships with tech companies. This paper concludes that AI-based systems can significantly benefit the agriculture sector by improving crop yield, reducing costs, and addressing safety issues. While AI implementation requires significant investment, the long-term economic and social benefits are substantial. The paper also emphasizes the need for continued research, development, and adoption of AI-based systems in the agriculture sector.