By: Nitya Sakaria, Ahaan Arora, Yatharth Kedia, Dharmaj Mehta, Heet Shah, Kahaan Doriwala
Project Description:
This Interdisciplinary Studies group project, titled “Junction”, focuses on developing a model for a bio-responsive drone-based agricultural system. The project explores the integration of technology, biology, and environmental science to create a smart solution for precision farming.
Project Focus:
The system is designed as an automated drone-based fertiliser dispensing model that uses onboard sensors to monitor plant health indicators such as colour, growth patterns, and signs of stress. Based on the collected data, the drone makes real-time, data-driven decisions to dispense fertiliser only where and when it is needed.The project emphasizes the concept of precision agriculture by reducing wastage of resources, optimizing fertiliser usage, and minimizing environmental impact. It involves interdisciplinary understanding across areas such as sensor technology, data interpretation, environmental sustainability, and agricultural practices.
Project Outcome:
The final outcome is a functional model demonstrating how drones can be used in agriculture to improve efficiency and sustainability. Through this project, the students demonstrated collaboration, research, problem-solving, and application of interdisciplinary knowledge to design an innovative solution that supports modern, sustainable farming practices.