Smart Farming System on Red Onion Plants Based on the Internet of Things

Sirojul Hadi, Anzali Ika Cahyati, Kurniadin Abd Latif, Tomi Tri Sujaka, Muhammad Zulfikri
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Abstract

Red Onions are agricultural commodities that are a source of income for farmers and can make a major contribution to Indonesia's economic development. The characteristic of the onion plant is that it requires a lot of sunlight. The sunlight needed for photosynthesis is 70% with an ambient temperature range of 25oC-32oC and soil moisture in the range of 50%-70%. Although red onions require a lot of water, these plants are sensitive to high-intensity rainfall. The critical period of the red onion plants is in the tuber formation phase so it is necessary to control it to get maximum production results. The method of making the smart farming system uses the Research and Development (R&D) method while sending data online to the web uses the Internet of Things (IoT) method. The result of this research is that a monitoring and control system for temperature and humidity has been successfully built on red onion plants. The system built is capable of measuring temperature with an accuracy rate of 95.33% and environmental humidity in plants reaching 92.07% while the accuracy of testing the entire system reaches 93.33%. The smart farming system has been able to automatically irrigate and apply fertilizer. Control of irrigation and application of fertilizers by the system has implications for better shallot growth and creates modern agriculture.
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基于物联网的红洋葱智能农业系统
红洋葱是一种农业商品,是农民的收入来源,可以为印度尼西亚的经济发展做出重大贡献。洋葱的特点是需要大量的阳光。光合作用所需的日照为70%,环境温度为25℃-32℃,土壤湿度为50%-70%。虽然红洋葱需要大量的水,但这些植物对强降雨很敏感。红洋葱植株的关键时期是块茎形成期,因此有必要对其进行控制,以获得最大的生产效果。制作智能农业系统的方法是研究开发(R&D)方法,将数据在线发送到网络的方法是物联网(IoT)方法。本研究的结果是成功地在红洋葱植株上建立了温度和湿度的监测和控制系统。所构建的系统对温度的测量准确率为95.33%,对植物环境湿度的测量准确率为92.07%,对整个系统的测试准确率为93.33%。智能农业系统已经能够自动灌溉和施肥。该系统对灌溉和化肥施用的控制对青葱生长有更好的影响,并创造了现代农业。
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审稿时长
12 weeks
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