Published Paper Details:

Agriculture plays a vital role in the economic growth of any country. With the increase of population, frequent changes in climatic conditions and limited resources, it becomes a challenging task to fulfill the food requirement of the present population. A manual farming consumes more time and is less efficient. So, smart agriculture techniques have recently seen widespread interest by farmers. This is driven by several factors, which include the widespread availability of economically priced, low-powered Internet of Things (IoT) based wireless sensors to remotely monitor and report conditions of the field, climate, and crops. Furthermore, the boom in IoT technologies have enabled farmers to deploy autonomous farming machinery and make better predictions of the future based on present and past conditions. This helps in decreasing the labor and time required to perform the processes on crops. So, the project is to design and construct a solar powered agricultural robot capable of seeding and watering. The system uses GPS coordinates to measure distance. This helps in planting the seed at equal distances. Geopy libraries in python is used to implement distance measurement algorithm. The same distance measurement algorithm is used to locate the planted seeds and water them. Watering is based on the results of soil moisture sensor. The battery used in this project can be recharged by the solar panel kept above the vehicle. This ensures the use of eco-friendly energy and prevents frequent charging of the vehicle. IoT is the backbone of the control strategy of the project thus, the actual status of the field can be monitored and controlled from any part of world using internet.