Swarm Drone Crop Management System using Artificial Intelligence Deep Neural Network for Pechay Plant
2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
(2023), pp. 1-6
Danilyn Joy O. Aquino
a
,
Alvin Roland M. Alcedo
a
,
Melo Christopher S. Elgincolin
a
,
Justine March U. Gilongos
a
,
Jahnn Laurenz S. Roma
a
,
Kenneth Russell K. Torralba
a
a ECE Department, FEU Institute of Technology, Manila, Philippines
Abstract: Modern advancements have the potential to help farmers maximize food production that will result to conservation of resources and profitability maximization. It is beneficial for farmers and to our local industry and economy because it approaches the issues regarding agricultural farming with the help of an up-and- coming field of studies. It would be a step towards food sustainability and conservation of resources and the environment. With this, the researchers came up with an idea of incorporating Artificial Intelligence (AI) through Deep-Learning Neural Network Technology to our food production. With the help of Raspberry Pi Microcomputers, we will develop an AI that will learn the parameters that are needed to control for optimal food production, and then implement the monitoring system through Swarm- based Drone Technology which will perform monitoring and crop maintenance autonomously. All operations shall be processed and deployed through Python Language.