Application Design of Farmbot based on Internet of Things (IoT)

Bagus Murdyantoro, Denny Sukma Eka Atmaja, Haris Rachmat


The agribusiness sector is the largest economic sector and the most important part of the Indonesian national economy, but the agribusiness sector begins to experience threats in fulfilling human food. Fulfillment of food faced some challenges including an increase in population, which means rising food, urbanization resulting in a decrease in the number of farmers and dietary changes, limited resources (land and air), changes to facilitate and waste food. This corresponds to the data issued by the United Nations, which is the fulfillment of food from approximately 9.6 billion people in the world in 2050 [2]. Along with that, the agricultural land area also decreased due to the transfer of agricultural land function. Farmbot can increase agricultural production to solve human food because it can manage crops within 24 hours without stopping. Farmbot is liquid of agricultural robots that can plant seeds with regular, watering plants and monitoring plant growth. Farmbot can be controlled through an application interface that allows remote access from any location in easy Internet-connected devices. In this study, it will create an automation system that can plant seeds, watering agricultural crops by controlling air production, monitoring plant conditions, plant databases by using applications and designing algorithms to detect crops. Besides, other ways can measure the moisture of the soil to scheduling watering as a watering parameter. To implement this feature can work using a robotic hand with a CNC (Computer Numeric Control) gesture system that would be controlled by the Arduino and Raspberry PI. Following are the procedures for implementing agricultural automation with IoT applications (Internet of Things), seedlings with the help of seeders that stored in plant databases, watering and direct monitoring by users who use camera help.


farmbot; precision agriculture; internet of things; automation.

Full Text:



B. Krisnamurthi, “Analisa Ekonomi: Hari Pangan Sedunia dan Sawit Indonesia,†2016. [Online]. Available:[Accessed: 12-Apr-2019]

United Nations, Department of Economic and Social Affairs, Population Division, 2009. World Population To Exceed 9 Billion By 2050.

Badan Pusat Statistik (BPS), 2013. Laporan Hasil Sensus Pertanian 2013. Yogyakarta: Badan Pusat Statistik Provinsi DIY.

Winarto, Y. & Yuniartha, L., 2018. Alih fungsi lahan sawah capai 200.000 ha per tahun. [Online]. Available at: [Accessed: 15-Apr-2019]

Lu Y. Industry 4.0: A survey on technologies, applications and open research issues. Journal of Industrial Information Integration. 2017;6:1-10.

Zhang N, Wang M, Wang N. Precision agriculture—a worldwide overview. Computers and Electronics in Agriculture. 2002;36(2):113-32.

Bongiovanni, R. & Lowenberg-Deboer, J., 2004. Precision Agriculture, 5(4), pp. 359-387.

S. D. T. Kelly, N. K. Suryadevara and S. C. Mukhopadhyay, Towards the Implementation of IoT for Environmental Condition Monitoring in Homes, vol. 13, IEEE Sens. J., 2013, pp. 3846-3853.

Sommerville, Ian.2011.Software Engineering. 9th Edition. America : Pearson Education ,Inc.

R. Aronson, "Exploring the Carbon Footprint of FarmBot," [Online]. Available:

E. a. Jack Brown, "Polar Coordinate FarmBot Final Project Report," 2017. [Online]. Available:[Accessed: 20-May-2019]

"FarmBot | Open-Source CNC Farming",, 2018. [Online]. Available: [Accessed: 20- May- 2019]



  • There are currently no refbacks.

Published by INSIGHT - Indonesian Society for Knowledge and Human Development