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All Journal Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Jurnal Cahaya Mandalika Journal La Lifesci International Journal of Robotics and Control Systems Envirous Journal of Community Service Serambi Engineering
Ali, Munawar
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Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences

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Journal : International Journal of Robotics and Control Systems

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Impact of Smart Greenhouse Using IoT for Enhanced Quality of Plant Growth Ali, Munawar; Gunawan, Anak Agung Ngurah; Prasetya, Dwi Arman; Ibrahim, Mohd Zamri Bin; Diyasa, I Gede Susrama Mas
International Journal of Robotics and Control Systems Vol 4, No 3 (2024)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v4i3.1277

Abstract

Greenhouses play a crucial role in manipulating environmental conditions for optimal plant growth. While existing greenhouses enhance control over environmental factors, manual controls such as watering and humidity regulation often lead to suboptimal production and increased costs. This study proposes the development of a smart greenhouse with an automatic control system using fuzzy logic, specifically fuzzy Sugeno, to regulate watering and lighting based on soil moisture, temperature, and light intensity. The system's architecture involves sensor inputs, microcontroller processing, and the activation of actuators, such as UV lights and water pumps. Fuzzy logic is applied to interpret soil moisture and temperature inputs and determine optimal irrigation durations. The system's functionality is tested and validated through functional testing, Blynk application testing, and fuzzy Sugeno testing. Results indicate the successful implementation of the proposed smart greenhouse system. Functional testing demonstrates accurate sensor readings, including temperature and soil moisture. The Blynk application enables real-time monitoring and control of environmental conditions. Fuzzy Sugeno testing validates the irrigation control system, with an average error rate of 1.3%, affirming the system's alignment with desired specifications. Plant testing in different conditions showcases the effectiveness of the smart greenhouse in supporting plant growth and development.
Co-Authors A. A. Ngurah Gunawan Ahmad Januarta Pratama Arale, Ade Lila Aulia Ulfah Farahdiba Diyasa, I Gede Susrama Mas Dwi Arman Prasetya Hendrasarie, Novirina Ibrahim, Mohd Zamri Bin Karuniawan, Hamsah Kinanty, Retno Luchmanandri, Rahmadini Mirwan, M. MT Safirin Murti, Restu Hikmah Ayu Nababan, Dorti Jouba Novembrianto, Rizka Nurhayati, Radityazty Dahayu Nurjanna, Annisa Qatrunada, Sekar Huwaidah Rosariawari, Firra Syadzadhiya Qothrunada Z.N Thohiroh, Mubayyinatuth