Control and Automation: Insmoaf (Integrated Smart Modern Agriculture and Fisheries) on The Greenhouse Model

Ridwan Siskandar; Sesar Husen  Santosa; Wiyoto Wiyoto; Billi Rifa  Kusumah; Agung Prayudha  Hidayat

doi:10.18343/jipi.27.1.141

Authors

Ridwan Siskandar Study Program of Computer Engineering, College of Vocational Studies, IPB University, IPB Cilibende Campus, Bogor 16128
Sesar Husen Santosa Study Program of Industrial Management College of Vocational Studies, IPB University, IPB University, IPB Cilibende Campus, Bogor 16128
Wiyoto Wiyoto Study Program of Production Technology and Management of Aquaculture, College of Vocational Studies, IPB University, IPB Cilibende Campus, Bogor 16128
Billi Rifa Kusumah Study Program of Fishing Technology, Faculty of Marine and Fisheries Technology, Nahdlatul Ulama University of Cirebon, Cirebon 45111
Agung Prayudha Hidayat Study Program of Industrial Management College of Vocational Studies, IPB University, IPB University, IPB Cilibende Campus, Bogor 16128

DOI:

https://doi.org/10.18343/jipi.27.1.141

Abstract

A greenhouse is an agricultural management system that has shown the efficiency of food production. This system is an effective alternative to ensure maximum production results. Agriculture with greenhouse technology can create the desired environmental/climatic conditions. The rapid development of technology and science has led to the birth of communication between devices using IoT and AI. This technology can be applied to greenhouses in agriculture and fisheries. Research on greenhouse and microcontroller-based automation systems has been carried out, and it is interesting to be developed. Researchers make a more efficient system and can increase the quality and quantity of production. The measurement data of both modes are monitored using the web. The greenhouse prototype is supported by DHT22, DS18B20, a fan to control the greenhouse cooler, RFID as the key access to the greenhouse. DHT22 & DS18B20 sensor readings in the prototype greenhouse use an AI system with the fuzzy method. IoT and AI have been successfully implemented in models of rice fields, hydroponic farming, and fisheries using automatic modes of RTC devices and sensors. The fuzzy approach method is used to find the optimum temperature and humidity values. The fuzzy approach was successfully carried out until the temperature and humidity conditions were "ideal," "high," and "very high." This condition provides information to the microcontroller to activate which fan should turn on. In manual mode, the smartphone application controls the system properly.

Keywords: artificial intelegent, control and automation, fuzzy logic, greenhouse, IoT

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