The Broiler Chicken Coop Temperature Monitoring Use Fuzzy Logic and LoRAWAN

Autor: Puput Dani Prasetyo Adi, Yuli Afril Liani, Bayu Eko Broto, Rahman Arifuddin, Rudi Haryanto, Deci Irmayani, Dwi Arman Prasetya, Ahmad Rofiqul Muslikh, Gomal Juni Yanris, Ibnu Rasyid Munthe
Rok vydání: 2021
Předmět:
Zdroj: 2021 3rd International Conference on Electronics Representation and Algorithm (ICERA).
DOI: 10.1109/icera53111.2021.9538771
Popis: In this study, temperature monitoring was carried out in broiler chicken coops using LoRAWAN to transmit temperature and humidity sensor data in chicken coops to monitor and determine ideal conditions. LoRa can communicate data over long distances, transmit on the Line of Sight >= 15 km with Low Power Consumption with small BitRate. It is suitable for temperature and humidity data by considering the growth determinants of broiler chickens analyzed using Mamdani Fuzzy Logic. The growth of broiler chickens is determined at the level of ideal temperature and humidity availability, temperature, and humidity. Temperature and Humidity level is based on the age of broiler chickens. Therefore, the need for sorting according to the age of chickens, i.e., age 0-7 days, air temperature 31oc -33oc with optimal temperature 33oc with 30-50% humidity, at 7-14 days old, air temperature 29oc-31oc with optimum temperature 30 oc and humidity 40-60%, at an age above 14 days, air temperature 26oc-29oc with optimum temperature 27oc and 40-60% humidity. The age of broiler chickens to harvest is 30-35 days, with a live weight of 1.5-2.0 kg per chicken. Fuzzy logic can be obtained for the most appropriate temperature and humidity applied to broiler chicken coop to support the development of chicken seen from the chicken's weight at the time of harvesting.
Databáze: OpenAIRE