Year: 2021
Type: article
Abstract: Malaysia, has a very conducive environment for agriculture.Six percent of the population are employed to some of the agriculture activities making agriculture the most curtail industry in Malaysia.Hence, there is a need to develop the agricultural facilities by incorporating latest technological advancements.Conventional seeding process is time consuming and requires additional labor cost.In this paper, an automated system is proposed for seeding as well as irrigation process in agriculture which reduces the labor cost.This system aims to increase the efficiency of the seeding process without affecting the nature of soil.The proposed system is equipped with Arduino MEGA and Arduino UNO which acts as the main control unit while ultrasonic and soil moisture sensors are used to detect the obstacles and soil moisture level, respectively.The robot consists of a funnel like arrangement to perform the seeding procedure.The field is equipped with moisture sensors placed at different areas that monitors the moisture level of the soil on a regular interval for irrigation purposes.The proposed system will be of great benefit to the future endeavor of agricultural business as well as it will be able to optimize the seeding and irrigation.
Authors: Anirban Kumar, Heshalini Rajagopal
Institution: MILA University
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $377
OpenAlex ID: W4200000321
