Monocropping, the practice of cultivating a single crop repeatedly, relies on high chemical inputs like fertilizers and pesticides. This excessive reliance on agrochemicals diminishes vital nutrients from the soil, leading to reduced fertility and compromised soil health.
To combat this, a team of students from the Vel Tech Ranagarajan Dr. Sagunthala R&D Institute of Science and Technology, in collaboration with the Aditeya Educational Trust, developed an innovative seed processing system to optimize crop production.
The device features an advanced sensor system, equipped with NIR and RGB cameras, for thorough seed quality assessment. Machine learning algorithms automate the decision-making process, allowing for real-time, data-driven sorting that adjusts to evolving quality standards. Furthermore, the project integrates wireless communication for remote monitoring and control, providing flexibility and accessibility.
Ultimately, the team’s objective is to boost agricultural efficiency by maximizing crop yield and guaranteeing high-quality crops.
This project was made possible by $6,250.00 in funding from EPICS in IEEE.