Tarımsal Sulamada Endüstri 4.0’A Bakış
Referanslar
Saygılı F, Kaya, AA, Çalışkan, ET. vd. Türk Tariminin Global Entegrasyonu Ve Tarim 4.0. 2016. İzmir Ticaret Borsası, İzmir.
Sevli, O. Tarım 4.0 Ölçeğinde Bir Dijital Tarim Uygulamasi: Çiftlik İzleme Ve Yönetim Sistemi. Uluslararası Sürdürülebilir Mühendislik ve Teknoloji Dergisi, 2023; 7(2), 105-116.
Silva, AOD, Silva, BAD, Souza CF, et al. Irrigation in the age of agriculture 4.0: management, monitoring and precision. Revista Ciência Agronômica, 2020; 51, e20207695.
Sample DJ, Owen JS, Fields JS, et al. Understanding soil moisture sensors: A fact sheet for irrigation professionals in Virginia.
Aravind D, Sarathkumar EM, Sivadhas EE, vd. Automated water irrigation aided by moisture sensor and self-developed mobile app.
Evett SR, Colaizzi PD, Schwartz RC, et al. Soil water sensing – Focus on variable rate irrigation. Proc 26th Annu Cent Plains Irrigation Conf. Burlington, Colorado. 2014.
Rusu C, Krozer A, Johansson C, et al. Miniaturized wireless water content and conductivity soil sensor system. Comput Electron Agric. 2019;167:105076.
Varble JL, Chávez JL. Performance evaluation and calibration of soil water content and potential sensors for agricultural soils in eastern Colorado. Agric Water Manag. 2011;101(1):93-106.
Bogena HR, Huisman JA, Schilling B, et al. Effective calibration of low-cost soil water content sensors. Sensors. 2017;17(1):208.
Chen Y, Tian Y, Wang X, et al. Miniaturized, field-deployable, continuous soil water potential sensor. IEEE Sens J. 2020;20(23):14109-17.
Xu Q, Yan X, Grantz DA, et al. An ice correction model for dielectric sensor to improve accuracy of soil water potential measurement in frozen soils. Soil Tillage Res. 2021;211:105003.
Aguilar J, Rogers D, Kisekka I. Irrigation scheduling based on soil moisture sensors and evapotranspiration. Kansas Agric Exp Stn Res Reports. 2015;1(5):20.
Gungor VC, Hancke GP. Industrial wireless sensor networks: Challenges, design principles, and technical approaches. IEEE Trans Ind Electron. 2009;56(10):4258-65.
Gutiérrez J, Villa-Medina JF, Nieto-Garibay A, et. al. Automated irrigation system using a wireless sensor network and GPRS module. IEEE Trans Instrum Meas. 2013;63(1):166-76.
Taneja K, Bhatia S. Automatic irrigation system using Arduino UNO. In: 2017 International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE; 2017. p. 132-5.
Anne VK, Durgasai KRVSN, Muddineni RK, et al. Smart irrigation using WSN based on IoT. Int J Eng Technol. 2018;7(2.8):331.
Kishor C, SunilKumar HU, Praveena HS, et al. Water usage approximation of automated irrigation system using IoT and ANN’s. In: 2018 2nd International Conference on IoT in Social, Mobile, Analytics and Cloud (I-SMAC). IEEE; 2018. p. 76-80.
Robles T, Alcarria R, Martín D, et al. An internet of things-based model for smart water management. In: 2014 28th international conference on advanced information networking and applications workshops. IEEE; 2014. p. 821-6.
Meeradevi, Supreetha MA, Mundada MR, et al. Design of a smart water-saving irrigation system for agriculture based on a wireless sensor network for better crop yield. In: ICCCE 2018: Proc International Conference on Communications and Cyber Physical Engineering 2018. Springer Singapore; 2019. p. 93-104.
Ismail N, Rajendran S, Tak WC, et al. Smart irrigation system based on internet of things (IoT). J Phys Conf Ser. 2019;1339(1):012012.
Voutos Y, Mylonas P, Katheniotis J, et al. A survey on intelligent agricultural information handling methodologies. Sustainability. 2019;11:3278.
INMET. Brazilian Automatic Weather Station of INMET (Instituto Nacional de Meteorologia). Available online: http://www.inmet.gov.br/portal/index.php?r=estacoes/estacoesautomaticas (accessed on 17 October 2019).
Borgia E. The internet of things vision: Key features, applications and open issues. Comput Commun. 2014;54:1-31.
Karimi N, Arabhosseini A, Karimi M, et al. Web-based monitoring system using Wireless Sensor Networks for traditional vineyards and grape drying buildings. Comput Electron Agric. 2018;144:269-83.
Mat I, Kassim MR, Harun AN. Precision agriculture applications using wireless moisture sensor network. In: Proc IEEE 12th Malaysia International Conference on Communications (MICC), Kuching, Malaysia, 23–25 November 2015. IEEE; 2015. p. 18-23.
Mat I, Kassim M, Harun IAN. Precision irrigation performance measurement using wireless sensor network. In: Proc 2014 Sixth International Conference on Ubiquitous and Future Networks (ICUFN), Shanghai, China, 8–11 July 2014. IEEE; 2014. p. 154-7.
Caetano F, Pitarma R, Reis P. Advanced system for garden irrigation management. Adv Intell Syst Comput. 2015;353:565-74.
Balaji Bhanu B, Hussain MA, Ande P. Monitoring of soil parameters for effective irrigation using wireless sensor networks. In: Proc Sixth International Conference on Advanced Computing (ICoAC), Chennai, India, 17–19 December 2014. IEEE; 2014. p. 211-5.
GS Campos N, Rocha AR, Gondim R, et al. Smart & green: An internet-of-things framework for smart irrigation. Sensors. 2019;20(1):190.
Sinha A, Shrivastava G, Kumar P. Architecting user-centric internet of things for smart agriculture. Sustainable Computing: Informatics and Systems. 2019;23:88-102.
Yu Y, Li Z, Gao Z. Research and development of smart irrigation in China. Irrigation and Drainage. 2020;69:108-18.
Jayaraman PP, Yavari A, Georgakopoulos et al. Internet of things platform for smart farming: Experiences and lessons learnt. Sensors. 2016; 16(11), 1884.)
Kamienski C, Kleinschmidt J, Soininen JP et al. SWAMP: Smart water management platform overview and security challenges. In 2018 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W) (pp. 49-50). IEEE.
Kamilaris A, Gao F, Prenafeta Boldú F et al. Agri-IoT: A Semantic Framework for Internet of Things-Enabled Smart Farming Applications. In Proceedings of the 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT), Reston, VA, USA, 12–14 December 2016; pp. 442–447.
Taştan M. Nesnelerin İnterneti Tabanlı Akıllı Sulama ve Uzaktan İzleme Sistemi. Avr Bilim Teknol Derg. 2019;(15):229-36.
Xinping L. Application of intelligent drip irrigation model in field. Xinjiang Agricultural Science and Technology. 2010:33.
Nilesh RP, Rahul BL, Swarup SM et al. Microcontroller based drip irrigation system using smart sensor. In: Annual IEEE India Conference (INDICON). 2013:1-5.
Kohanbash DG, Kantor TM, Crawford L. Wireless sensor network design for monitoring and irrigation control: user-centric hardware and software development. HortTechnology. 2013;23:725–34.
Janc K, Czapiewski K, Wójcik M. In the starting blocks for smart agriculture: The internet as a source of knowledge in transitional agriculture. NJAS-Wageningen Journal of Life Sciences. 2019;90:100309.
Roy SK, Misra S, Raghuwanshi NS, et al. IoT-based dynamic irrigation scheduling system for water management of irrigated crops. IEEE Internet Things J. 2021;8(6):5023-30. https://doi.org/10.1109/JIOT.2020.3036126.
Dayıoğlu MA, Turker U. Digital transformation for sustainable future-agriculture 4.0: A review. J Agric Sci. 2021;27(4):373-99.
Campos N, Rocha AR, Gondim R, et al. Smart & green: An internet-of-things framework for smart irrigation. Sensors. 2019;20(1):190
Sevli, O. Tarım 4.0 Ölçeğinde Bir Dijital Tarim Uygulamasi: Çiftlik İzleme Ve Yönetim Sistemi. Uluslararası Sürdürülebilir Mühendislik ve Teknoloji Dergisi, 2023; 7(2), 105-116.
Silva, AOD, Silva, BAD, Souza CF, et al. Irrigation in the age of agriculture 4.0: management, monitoring and precision. Revista Ciência Agronômica, 2020; 51, e20207695.
Sample DJ, Owen JS, Fields JS, et al. Understanding soil moisture sensors: A fact sheet for irrigation professionals in Virginia.
Aravind D, Sarathkumar EM, Sivadhas EE, vd. Automated water irrigation aided by moisture sensor and self-developed mobile app.
Evett SR, Colaizzi PD, Schwartz RC, et al. Soil water sensing – Focus on variable rate irrigation. Proc 26th Annu Cent Plains Irrigation Conf. Burlington, Colorado. 2014.
Rusu C, Krozer A, Johansson C, et al. Miniaturized wireless water content and conductivity soil sensor system. Comput Electron Agric. 2019;167:105076.
Varble JL, Chávez JL. Performance evaluation and calibration of soil water content and potential sensors for agricultural soils in eastern Colorado. Agric Water Manag. 2011;101(1):93-106.
Bogena HR, Huisman JA, Schilling B, et al. Effective calibration of low-cost soil water content sensors. Sensors. 2017;17(1):208.
Chen Y, Tian Y, Wang X, et al. Miniaturized, field-deployable, continuous soil water potential sensor. IEEE Sens J. 2020;20(23):14109-17.
Xu Q, Yan X, Grantz DA, et al. An ice correction model for dielectric sensor to improve accuracy of soil water potential measurement in frozen soils. Soil Tillage Res. 2021;211:105003.
Aguilar J, Rogers D, Kisekka I. Irrigation scheduling based on soil moisture sensors and evapotranspiration. Kansas Agric Exp Stn Res Reports. 2015;1(5):20.
Gungor VC, Hancke GP. Industrial wireless sensor networks: Challenges, design principles, and technical approaches. IEEE Trans Ind Electron. 2009;56(10):4258-65.
Gutiérrez J, Villa-Medina JF, Nieto-Garibay A, et. al. Automated irrigation system using a wireless sensor network and GPRS module. IEEE Trans Instrum Meas. 2013;63(1):166-76.
Taneja K, Bhatia S. Automatic irrigation system using Arduino UNO. In: 2017 International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE; 2017. p. 132-5.
Anne VK, Durgasai KRVSN, Muddineni RK, et al. Smart irrigation using WSN based on IoT. Int J Eng Technol. 2018;7(2.8):331.
Kishor C, SunilKumar HU, Praveena HS, et al. Water usage approximation of automated irrigation system using IoT and ANN’s. In: 2018 2nd International Conference on IoT in Social, Mobile, Analytics and Cloud (I-SMAC). IEEE; 2018. p. 76-80.
Robles T, Alcarria R, Martín D, et al. An internet of things-based model for smart water management. In: 2014 28th international conference on advanced information networking and applications workshops. IEEE; 2014. p. 821-6.
Meeradevi, Supreetha MA, Mundada MR, et al. Design of a smart water-saving irrigation system for agriculture based on a wireless sensor network for better crop yield. In: ICCCE 2018: Proc International Conference on Communications and Cyber Physical Engineering 2018. Springer Singapore; 2019. p. 93-104.
Ismail N, Rajendran S, Tak WC, et al. Smart irrigation system based on internet of things (IoT). J Phys Conf Ser. 2019;1339(1):012012.
Voutos Y, Mylonas P, Katheniotis J, et al. A survey on intelligent agricultural information handling methodologies. Sustainability. 2019;11:3278.
INMET. Brazilian Automatic Weather Station of INMET (Instituto Nacional de Meteorologia). Available online: http://www.inmet.gov.br/portal/index.php?r=estacoes/estacoesautomaticas (accessed on 17 October 2019).
Borgia E. The internet of things vision: Key features, applications and open issues. Comput Commun. 2014;54:1-31.
Karimi N, Arabhosseini A, Karimi M, et al. Web-based monitoring system using Wireless Sensor Networks for traditional vineyards and grape drying buildings. Comput Electron Agric. 2018;144:269-83.
Mat I, Kassim MR, Harun AN. Precision agriculture applications using wireless moisture sensor network. In: Proc IEEE 12th Malaysia International Conference on Communications (MICC), Kuching, Malaysia, 23–25 November 2015. IEEE; 2015. p. 18-23.
Mat I, Kassim M, Harun IAN. Precision irrigation performance measurement using wireless sensor network. In: Proc 2014 Sixth International Conference on Ubiquitous and Future Networks (ICUFN), Shanghai, China, 8–11 July 2014. IEEE; 2014. p. 154-7.
Caetano F, Pitarma R, Reis P. Advanced system for garden irrigation management. Adv Intell Syst Comput. 2015;353:565-74.
Balaji Bhanu B, Hussain MA, Ande P. Monitoring of soil parameters for effective irrigation using wireless sensor networks. In: Proc Sixth International Conference on Advanced Computing (ICoAC), Chennai, India, 17–19 December 2014. IEEE; 2014. p. 211-5.
GS Campos N, Rocha AR, Gondim R, et al. Smart & green: An internet-of-things framework for smart irrigation. Sensors. 2019;20(1):190.
Sinha A, Shrivastava G, Kumar P. Architecting user-centric internet of things for smart agriculture. Sustainable Computing: Informatics and Systems. 2019;23:88-102.
Yu Y, Li Z, Gao Z. Research and development of smart irrigation in China. Irrigation and Drainage. 2020;69:108-18.
Jayaraman PP, Yavari A, Georgakopoulos et al. Internet of things platform for smart farming: Experiences and lessons learnt. Sensors. 2016; 16(11), 1884.)
Kamienski C, Kleinschmidt J, Soininen JP et al. SWAMP: Smart water management platform overview and security challenges. In 2018 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W) (pp. 49-50). IEEE.
Kamilaris A, Gao F, Prenafeta Boldú F et al. Agri-IoT: A Semantic Framework for Internet of Things-Enabled Smart Farming Applications. In Proceedings of the 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT), Reston, VA, USA, 12–14 December 2016; pp. 442–447.
Taştan M. Nesnelerin İnterneti Tabanlı Akıllı Sulama ve Uzaktan İzleme Sistemi. Avr Bilim Teknol Derg. 2019;(15):229-36.
Xinping L. Application of intelligent drip irrigation model in field. Xinjiang Agricultural Science and Technology. 2010:33.
Nilesh RP, Rahul BL, Swarup SM et al. Microcontroller based drip irrigation system using smart sensor. In: Annual IEEE India Conference (INDICON). 2013:1-5.
Kohanbash DG, Kantor TM, Crawford L. Wireless sensor network design for monitoring and irrigation control: user-centric hardware and software development. HortTechnology. 2013;23:725–34.
Janc K, Czapiewski K, Wójcik M. In the starting blocks for smart agriculture: The internet as a source of knowledge in transitional agriculture. NJAS-Wageningen Journal of Life Sciences. 2019;90:100309.
Roy SK, Misra S, Raghuwanshi NS, et al. IoT-based dynamic irrigation scheduling system for water management of irrigated crops. IEEE Internet Things J. 2021;8(6):5023-30. https://doi.org/10.1109/JIOT.2020.3036126.
Dayıoğlu MA, Turker U. Digital transformation for sustainable future-agriculture 4.0: A review. J Agric Sci. 2021;27(4):373-99.
Campos N, Rocha AR, Gondim R, et al. Smart & green: An internet-of-things framework for smart irrigation. Sensors. 2019;20(1):190
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