Optimation Environment Estimation for Maximum Fertility Level of Zea mays ssp. Plants in Automatic Fodder Using Fuzzy Logic

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Haryanto, Dwi Kuswanto, Dian Neipa Purnamasari, Lilik Anifah

2026 Lecture Notes in Electrical Engineering Vol. 1611 LNEE Conference paper Cited by 0

Abstract

Animal food is very important to achieve the availability of animal protein for the population. If the availability of livestock food is limited, there will be an impact on the availability of food for humans. Some areas experiencing difficulties in animal feed in the dry season can be overcome with fodder using Zea mays ssp. seeds. The purpose of this research is to estimate the environmental optimization conditions needed for Zea mays ssp. to grow optimally. The research stages are hardware development, data collection, fuzzy design process, and testing process. The sensor used as fuzzy input is ultrasonic, this sensor is used to monitor the height growth of Zea mays ssp. The signals produced by these sensors become input for fuzzy, which is then used to estimate the optimum environmental conditions of the fodder so that the growth of corn plants on the fodder can be improved. Optimization environment estimation for the maximum fertility level of Zea mays ssp. plants in automatic fodder using fuzzy logic has been applied, based on the test results the optimum result is when a water level of 20 mm and light intensity of 0 to 500 lx are used. Another optimum condition is when given the condition of 30 mm water level with light intensity of 0, 200, 300, and 500 lx. These two conditions obtained a fertility level of 0.8628 when using centroid de-fuzzification and 0.88 when using bisector defuzzification, where the average of both is 0.8714. The contribution of this research is expected to help farmers in determining optimal environmental variables so that Zea mays ssp. plants can grow well. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.

Affiliations

Department of Electrical Engineering, Faculty of Engineering, Universitas Trunojoyo Madura, Jawa Timur, Indonesia; Department of Informatic Engineering, Faculty of Engineering, Universitas Trunojoyo Madura, Jawa Timur, Indonesia; Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya, Jawa Timur, Indonesia