Variable rate seeding (VRS) continues to advance in precision agriculture, allowing farmers to fine-tune seeding rates and depth across fields based on inherent spatio-temporal variability. Recent developments in VRS technology have been driven by advanced data analytics, sensor technology, and machine learning (ML) algorithms. These innovations enable real-time adjustments to both seeding rates and depths, enhancing crop yields and resource efficiency. Advanced GNSS and remote sensing technologies provide detailed field maps, while soil sensors and drones deliver precise data on soil variations, health assessments, and moisture levels. Machine learning (ML) models process this data to determine optimal seeding rates and depths for various field zones. These advances not only boost agricultural productivity but also support sustainable farming practices by minimizing input waste and environmental impact. As VRS technology continues to evolve, it promises to play a crucial role in meeting the growing global food demand while promoting environmental stewardship.