The monitoring system for paddy crop yield from the hopperburn

Ooi, Guan Le (2017) The monitoring system for paddy crop yield from the hopperburn. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

Text (Full text) The monitoring system for paddy crop yield from the hopperburn.pdf - Submitted Version Download (4MB)

Abstract

In Artificial Intelligence, the process of the building electronic devices or robot, there is a must to have a controller, is a part of the brain to control all the things and give the task to the robot. Same as the drone, or quadcopter that are very famous nowadays, it also have the brain called “flight controller”, there is variety types of the flight controller in the drone. The flight controller control all the movement of the drone and give task to the drone. In the drone, there is a lot of the sensor installed in the drone to sense the environment, and collect the data. Unmanned Aerial Vehicle (UAV) is the drone without pilot. Many uses of the drone like take the aerial photo. To enhance the ability of the drone, the use of the system to make the drone undergoes autopilot mode with using multiple sensor that installed on the drone. With the automated drone, there is a lot of benefits and details for the paddy farmer to survey their crop in paddy field. Drone can take the photo from the air then collect the data yield and undergoes analysis to calculate the loss of the crop yield from the Hopper Burn Disease.

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