High-Level Project Summary
Our project aim is design and build intelligent drone to help enhancing the quality of agriculture. The drone functions are automatically agricultural areas scanning and crop data collation to decide the best time for harvesting and classifies crops to distinguish between ripe and immature ones. The drone is also capable of early detection and identification of biological risks upon crops which in turn helps to reduce and legalize the use of pesticides.The real challenge we are dealing with is to implement a low power hardware powered by AI and connected with NASA Climate Data Services (CDS) in the real time.
Link to Project "Demo"
Link to Final Project
Detailed Project Description
Our project is a drone that has built in artificial intelligence, where the drone searches NASA's Realtime data of weather and geography of the land and makes a decision if the weather is suitable for flight or not, then it flies over the farms and through artificial intelligence and the camera installed on it, it will identify the agricultural crops ready for harvest and where are the places Where should pesticides be sprayed ,the codes and technology used in the drone: Realtime detection program for low power hardware by using python.
3D printing model for the drone.
Prototyping and proving the function of the real time detecting program.
Space Agency Data
The drone uses NASAs real-time data for weather and Earth geography, and based on the weather data, the drone decides when it should avoid flying due to the weather, and based on the geographical data of the Earth, the drone decides where it should increase or decrease altitude
Hackathon Journey
Our experience in the hackathon program was an enriching one, which it helped us to refine several skills thanks to the challenges that are manifested in the short time specified for achieving the goals, which made the creative factor of great importance in this experience.
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Tags
#AI, #drone, #agriculture, #realtiem_detection
Global Judging
This project has been submitted for consideration during the Judging process.