• Title/Summary/Keyword: Smart Farming using IoT

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IoT based real time agriculture farming

  • Mateen, Ahmed;Zhu, Qingsheng;Afsar, Salman
    • International journal of advanced smart convergence
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    • v.8 no.4
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    • pp.16-25
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    • 2019
  • The Internet of things (IOT) is remodeling the agribusiness empowering the agriculturists through the extensive range of strategies, for example, accuracy as well as practical farming to deal with challenges in the field. The paper aims making use of evolving technology i.e. IoT and smart agriculture using automation. The objective of this research paper to present tools and best practices for understanding the role of information and communication technologies in agriculture sector, motivate and make the illiterate farmers to understand the best insights given by the big data analytics using machine learning. The methodology used in this system can monitor the humidity, moisture level and can even detect motions. According to the data received from all the sensors the water pump, cutter and sprayer get automatically activated or deactivated. we investigate a remote monitoring system using Wi-Fi. These nodes send data wirelessly to a central server, which collects the data, stores it and will allow it to be analyzed then displayed as needed and can also be sent to the client mobile.

Blockchain and IoT Integrated Banana Plant System

  • Geethanjali B;Muralidhara B.L.
    • International Journal of Computer Science & Network Security
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    • v.24 no.2
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    • pp.155-157
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    • 2024
  • Internet of Things (IoT) integrated with the Blockchain is the state of the art for keen cultivation and agriculture. Recently the interest in agribusiness information is enlarging owing to the fact of commercializing the smart farming technology. Agribusiness information are known to be untidy, and experts are worried about the legitimacy of information. The blockchain can be a potential answer for the expert's concern on the uncertainty of the agriculture data. This paper proposes an Agri-Banana plant system using Blockchain integrated with IoT. The system is designed by employing IoT sensors incorporated with Hyperledger fabric network, aims to provide farmers with secure storage for preserving the large amounts of IoT and agriculture data that cannot be tampered with. A banana smart contract is implemented between farmer peer and buyer peer of two different organizations under the Hyperledger fabric network setup aids in secure transaction of transferring banana from farmer to buyer.

Intelligent Green House Control System based on Deep Learning for Saving Electric Power Consumption (전력 소모 절감을 위한 딥 러닝기반의 지능형 그린 하우스 제어 시스템)

  • Shin, Hyeonyeop;Yim, Hyokyun;Kim, Won-Tae
    • Journal of IKEEE
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    • v.22 no.1
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    • pp.53-60
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    • 2018
  • Smart farm dissemination by continuously developing IoT is one of the best solution for decreasing labor in Korea farming area because of ageing. For this reason, the number of Smart farm in Korea is being increased. The Smart farm can control farming environment such as temperature for human. Specially, The important thing is controlling proper temperature for farming. In order to control the temperature, legacy smart farms are usually using pans or air conditioners which can control the temperature. However, those devices result in increasing production cost because the electric power consumption is high. For this reason, we propose a smart farm which can predict the proper temperature after an hour by using Deep learning to minimize the electric power consumption by controlling window instead of pans or air conditioners. We can see the 83% of electric power saving by means of the proposed smart farm.

A Study on the Necessity and Construction Plan of the Internet of Things Platform for Smart Agriculture (스마트 농업 확산을 위한 IoT기반 개방형 플랫폼의 필요성 및 구축 방안 연구)

  • Lee, Joonyoung;Kim, ShinHo;Lee, SaeBom;Choi, HyeonJin;Jung, JaiJin
    • Journal of Korea Multimedia Society
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    • v.17 no.11
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    • pp.1313-1324
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    • 2014
  • Korea has high quality level of ICT Technologies, however it still have a long way to go before invigoration of ICT in agriculture industry. The government of Korea supply to agriculture ICT systems, however these are the enclosed type and insufficient the level of connectivity, compatibility, and integrity between ICT systems. Farmers can not share crop information and one system can not use with others in combination. Recently, IoT(Internet of Things) become popular to emphasize the vision of a global internet and ICT industry. The IoT is a critical technology that leads future internet generation. We believe that IoT will change status of agriculture industry and appearance of various agriculture business model. Using IoT technology is provided a platform of opportunities to optimize work processes and efficient use of energy, time and labour in farm. It can automatically control temperature, humidity, sunshine system and so on for optimal growth conditions at greenhouse and plant factory. Growth setting can even be controlled and monitored crop condition and disease by a smartphone app or PC. It is possible to improve quality of farming and farm product. We suggest that construction of IoT platform through open API in agriculture industry.

Production Performance Prediction of Pig Farming using Machine Learning (기계학습기반 양돈생산성 예측방안)

  • Lee, Woongsup;Sung, Kil-Young;Ban, Tae-Won;Ham, Young Hwa
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.1
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    • pp.130-133
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    • 2020
  • Smart pig farm which is based on IoT has been widely adopted by many pig farmers. In order to achieve optimal control of smart pig farm, the relation between environmental conditions and performance metric should be characterized. In this study, the relation between multiple environmental conditions including temperature, humidity and various performance metrics, which are daily gain, feed intake, and MSY, is analyzed based on data obtained from 55 real pig farm. Especially, based on preprocessing of data, various regression based machine learning algorithms are considered. Through performance evaluation, we show that the performance can be predicted with high precision, which can improve the efficiency of management.

A Web-based Monitoring of Electrical Energy Consumption and Data Analysis of Smart Farm Facilities (스마트팜 전기 사용에 대한 웹기반 실시간 모니터링 시스템 운영 및 전력사용량 분석)

  • Lee, Mu Yeol;Sim, Sojeong;Kim, Eun-jeong;Han, Young-Soo
    • Journal of Bio-Environment Control
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    • v.31 no.4
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    • pp.366-375
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    • 2022
  • The monitoring of electricity consumption using Internet of Things (IoT) technology is attracting attention as a technology to reduce operation costs of smart farms. In this study, we propose a method to apply a real-time electrical consumption monitoring system (the e-Gauge system) and utilization of the collected data real-time while a melon-producing smart farm is in operation. For this purpose, the electrical consumption data for the individual smart-farm facilities such as boilers, nutrient distribution systems, automatic controllers, circulation fans, boiler controllers, and other IoT-related utilities were collected during three months of melon cultivation period. By using the monitoring results, the electrical energy consumption pattern was analyzed as an example, and necessary considerations needed to optimally utilize the measurement data were suggested. This paper will be useful in lowering the technological implementation barriers for new researchers to build a electrical consumption monitoring system and reducing trial and errors in the usage of the generated data.

A Study on Analysis of Problems in Data Collection for Smart Farm Construction (스마트팜 구축을 위한 데이터수집의 문제점 분석 연구)

  • Kim Song Gang;Nam Ki Po
    • Convergence Security Journal
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    • v.22 no.5
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    • pp.69-80
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    • 2022
  • Now that climate change and food resource security are becoming issues around the world, smart farms are emerging as an alternative to solve them. In addition, changes in the production environment in the primary industry are a major concern for people engaged in all primary industries (agriculture, livestock, fishery), and the resulting food shortage problem is an important problem that we all need to solve. In order to solve this problem, in the primary industry, efforts are made to solve the food shortage problem through productivity improvement by introducing smart farms using the 4th industrial revolution such as ICT and BT and IoT big data and artificial intelligence technologies. This is done through the public and private sectors.This paper intends to consider the minimum requirements for the smart farm data collection system for the development and utilization of smart farms, the establishment of a sustainable agricultural management system, the sequential system construction method, and the purposeful, efficient and usable data collection system. In particular, we analyze and improve the problems of the data collection system for building a Korean smart farm standard model, which is facing limitations, based on in-depth investigations in the field of livestock and livestock (pig farming) and analysis of various cases, to establish an efficient and usable big data collection system. The goal is to propose a method for collecting big data.

A Study on the Analysis of Agricultural and Livestock Operations Using ICT-Based Equipment

  • Gokmi, Kim
    • International journal of advanced smart convergence
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    • v.9 no.1
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    • pp.215-221
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    • 2020
  • The paradigm of agriculture is also changing to address the problem of food shortages due to the increase of the world population, climate conditions that are increasingly subtropical, and labor shortages in rural areas due to aging population. With the development of Information Communication Technology (ICT), our daily lives are changing rapidly and heralds a major change in agricultural management. In a hyper-connected society, the introduction of high-tech into traditional Agriculture of the past is absolutely necessary. In the development process of Agriculture, the first generation produced by hand, the second generation applied mechanization, and the third generation introduced automation. The fourth generation is the current ICT operation and the fifth generation is artificial intelligence. This paper investigated Smart Farm that increases productivity through convergence of Agriculture and ICT, such as smart greenhouse, smart orchard and smart Livestock. With the development of sustainable food production methods in full swing to meet growing food demand, Smart Farming is emerging as the solution. In overseas cases, the Netherlands Smart Farm, the world's second-largest exporter of agricultural products, was surveyed. Agricultural automation using Smart Farms allows producers to harvest agricultural products in an accurate and predictable manner. It is time for the development of technology in Agriculture, which benchmarked cases of excellence abroad. Because ICT requires an understanding of Internet of Things (IoT), big data and artificial intelligence as predicting the future, we want to address the status of theory and actual Agriculture and propose future development measures. We hope that the study of the paper will solve the growing food problem of the world population and help the high productivity of Agriculture and smart strategies of sustainable Agriculture.

A Study on the Comparison of Odor Reduction by Livestock Farming Using Abelmoschus Manihot Jinhuakui Feed Additives

  • Gok Mi Kim;Jun Su Kim
    • International Journal of Advanced Culture Technology
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    • v.12 no.1
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    • pp.287-292
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    • 2024
  • The problem of odor and environmental pollution caused by livestock manure is spreading greatly as a social issue. To reduce the odor of livestock raised in livestock farms and improve the farm environment, raw materials of Abelmoschus manihot Jinhuakui were put into feed additives to measure the state of odor. It is characterized by being non-toxic and sweet, and Abelmoschus manihot Jinhuakui, which contains abundant nutrients that are beneficial to health in all parts such as roots, stems, and flowers, is a medicinal plant that cannot be discarded. In particular, it has the effect of helping bowel movements because it stimulates bowel movements. Ammonia levels were investigated through the KS X 3279 national standard-applied smart livestock IoT hub sensor pack installed at Flower Garden and Ugil Farm. The purpose of this paper is to reduce the odor that is the most problematic on farms and improve the environment, and it is planned to expand research into deodorants after feed additives. It is hoped that the research results will solve the livestock problem and help livestock farmers.

Anomaly Detection System of Smart Farm ICT Device (스마트팜 ICT기기의 이상탐지 시스템)

  • Choi, Hwi-Min;Kim, Joo-Man
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.2
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    • pp.169-174
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    • 2019
  • This paper propose a system to notify the user that detects failure of malfunction of smart farm ICT devices. As the fourth industrial revolution approaches, agriculture is also fused with ICT technology to improve competitiveness. Smart farming market is rapidly growing every year, but there is still a lack of standardization and certification systems. Especially, smart farm devices that are widely used in Korea are different in product specifications, software and hardware are developed separately, and quality and compatibility are poor. Therefore, a system that can recognize the abnormality of the equipment due to the frequent damage of farmers using low cost smart farm equipment is needed. In this paper, we review smart farm domestic and overseas policy trends and domestic smart agriculture trends, analyze smart farm failure or malfunctions and proactively prevent them, and propose a system to inform users when problems occur.