Estimating crop area and yield accurately has traditionally been a labor-intensive and time-consuming process. As we strive for more sustainable and efficient farming practices, there's a growing need to leverage cutting-edge technologies such as remote sensing, machine learning, and data analytics to transform how we collect, analyze, and utilize agricultural data. This hackathon invites participants to create novel approaches, applications, and algorithms that address the complexities of crop area and yield estimation, considering diverse factors such as crop types, environmental variations, and data accuracy. Theme of the hackathon is “Crop Area & Yield Estimation”.