By: Jaanav Salia, Wilfy Shah, Neev Dholakia, Agastya Chaudhari, Shiv Modi, Devraj Vanawala
Project Description:
This Interdisciplinary Studies group project, Farmer Assist, focuses on developing a model that demonstrates an automated plant-growing system. The project integrates concepts from technology, environmental science, and engineering to promote efficient and sustainable agricultural practices.
Project Focus:
The system is designed to monitor soil moisture levels using sensors and automatically dispense water when required, ensuring that plants receive optimal hydration. In addition, it delivers fertiliser in controlled quantities, preventing overuse and promoting healthy plant growth. The model also provides real-time data on water and fertiliser usage, highlighting the importance of data-driven decision-making in modern agriculture.The project emphasizes smart farming techniques, efficient resource management, and sustainability, addressing challenges such as water conservation and precision agriculture.
Project Outcome:
The final outcome is a working model that showcases an intelligent, automated approach to plant cultivation. Through this project, the students demonstrated strong collaboration, technical understanding, and interdisciplinary application of knowledge, presenting an innovative solution that supports sustainable and efficient farming practices.
