{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T16:37:03Z","timestamp":1776357423795,"version":"3.51.2"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031576386","type":"print"},{"value":"9783031576393","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-57639-3_8","type":"book-chapter","created":{"date-parts":[[2024,4,9]],"date-time":"2024-04-09T14:01:39Z","timestamp":1712671299000},"page":"171-193","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Neural Network Based Model Reference Adaptive Control of\u00a0Quadrotor UAV for\u00a0Precision Agriculture"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-5433-6211","authenticated-orcid":false,"given":"Muluken","family":"Menebo","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3288-7537","authenticated-orcid":false,"given":"Lebsework","family":"Negash","sequence":"additional","affiliation":[]},{"given":"Dereje","family":"Shiferaw","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,4,10]]},"reference":[{"key":"8_CR1","unstructured":"Abaunza Gonzalez, H.: Robust tracking of dynamic targets with aerial vehicles using quaternion-based techniques. Ph.D. thesis, Compi\u00e8gne (2019)"},{"key":"8_CR2","doi-asserted-by":"crossref","unstructured":"Ahmadinejad, F., Bahrami, J., Menhaj, M.B., Ghidary, S.S.: Autonomous Flight of Quadcopters in the Presence of Ground Effect. In: 2018 4th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS), pp. 217\u2013223. IEEE (2018)","DOI":"10.1109\/ICSPIS.2018.8700556"},{"issue":"3","key":"8_CR3","first-page":"139","volume":"29","author":"G Alemaw","year":"2019","unstructured":"Alemaw, G., Agegnehu, G.: Precision agriculture and the need to introduce in Ethiopia. Ethiopian J. Agric. Sci. 29(3), 139\u2013158 (2019)","journal-title":"Ethiopian J. Agric. Sci."},{"key":"8_CR4","doi-asserted-by":"publisher","unstructured":"Assefa, A.: Neural network based direct MRAC technique for improving tracking performance for nonlinear pendulum system. J. Inf. Electr. Electron. Eng. (JIEEE) 1, November 2020. https:\/\/doi.org\/10.54060\/JIEEE\/001.02.004","DOI":"10.54060\/JIEEE\/001.02.004"},{"key":"8_CR5","doi-asserted-by":"crossref","unstructured":"Bakshi, N.A.: Model reference adaptive control of quadrotor UAVs: a neural network perspective. Adaptive Robust Control Systems, p. 135 (2018)","DOI":"10.5772\/intechopen.71487"},{"issue":"5","key":"8_CR6","doi-asserted-by":"publisher","first-page":"753","DOI":"10.1002\/acs.2862","volume":"32","author":"M Benosman","year":"2018","unstructured":"Benosman, M.: Model-based vs data-driven adaptive control: an overview. Int. J. Adapt. Control Sig. Process. 32(5), 753\u2013776 (2018)","journal-title":"Int. J. Adapt. Control Sig. Process."},{"issue":"1","key":"8_CR7","doi-asserted-by":"publisher","first-page":"10311","DOI":"10.1016\/j.ifacol.2017.08.1500","volume":"50","author":"DDC Bernard","year":"2017","unstructured":"Bernard, D.D.C., Riccardi, F., Giurato, M., Lovera, M.: A dynamic analysis of ground effect for a quadrotor platform. IFAC-PapersOnLine 50(1), 10311\u201310316 (2017)","journal-title":"IFAC-PapersOnLine"},{"key":"8_CR8","doi-asserted-by":"crossref","unstructured":"Daponte, P., et al.: A review on the use of drones for precision agriculture. In: IOP Conference Series: Earth and Environmental Science, vol. 275, p. 012022. IOP Publishing (2019)","DOI":"10.1088\/1755-1315\/275\/1\/012022"},{"key":"8_CR9","unstructured":"De mel, W.R.: Artificial neural network based adaptive controller for DC motors (2004)"},{"key":"8_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10705-023-10291-z","volume":"126","author":"E Elias","year":"2023","unstructured":"Elias, E., et al.: Cereal yields in Ethiopia relate to soil properties and n and p fertilizers. Nutr. Cycl. Agroecosyst. 126, 1\u201314 (2023)","journal-title":"Nutr. Cycl. Agroecosyst."},{"key":"8_CR11","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1016\/j.arcontrol.2018.10.009","volume":"46","author":"BJ Emran","year":"2018","unstructured":"Emran, B.J., Najjaran, H.: A review of quadrotor: an underactuated mechanical system. Annu. Rev. Control. 46, 165\u2013180 (2018)","journal-title":"Annu. Rev. Control."},{"key":"8_CR12","unstructured":"Fresk, E.: Modeling, control and experimentation of a variable pitch quadrotor (2013)"},{"key":"8_CR13","doi-asserted-by":"crossref","unstructured":"Fresk, E., Nikolakopoulos, G.: Full quaternion based attitude control for a quadrotor. In: 2013 European Control Conference (ECC), pp. 3864\u20133869. IEEE (2013)","DOI":"10.23919\/ECC.2013.6669617"},{"key":"8_CR14","doi-asserted-by":"crossref","unstructured":"Gupta, D., Kumar, A., Giri, V.K.: Effect of adaptation gain and reference model in MIT and lyapunov rule-based model reference adaptive control for first-and second-order systems. Trans. Inst. Measure. Control 01423312231203483 (2023)","DOI":"10.1177\/01423312231203483"},{"issue":"3","key":"8_CR15","doi-asserted-by":"publisher","first-page":"923","DOI":"10.1007\/s42161-021-00886-2","volume":"103","author":"T Hayit","year":"2021","unstructured":"Hayit, T., Erbay, H., Var\u00e7\u0131n, F., Hayit, F., Akci, N.: Determination of the severity level of yellow rust disease in wheat by using convolutional neural networks. J. Plant Pathol. 103(3), 923\u2013934 (2021)","journal-title":"J. Plant Pathol."},{"key":"8_CR16","doi-asserted-by":"crossref","unstructured":"Lv, Y.Y., Huang, W., Liu, J., Peng, Z.F.: A sliding mode controller of quadrotor based on unit quaternion. In: Applied Mechanics and Materials, vol. 536, pp. 1087\u20131092. Trans Tech Publ (2014)","DOI":"10.4028\/www.scientific.net\/AMM.536-537.1087"},{"issue":"16","key":"8_CR17","doi-asserted-by":"publisher","first-page":"17608","DOI":"10.1109\/JSEN.2021.3049471","volume":"21","author":"PKR Maddikunta","year":"2021","unstructured":"Maddikunta, P.K.R., et al.: Unmanned aerial vehicles in smart agriculture: applications, requirements, and challenges. IEEE Sens. J. 21(16), 17608\u201317619 (2021)","journal-title":"IEEE Sens. J."},{"key":"8_CR18","doi-asserted-by":"publisher","first-page":"502","DOI":"10.1016\/j.procs.2018.07.063","volume":"133","author":"UMR Mogili","year":"2018","unstructured":"Mogili, U.M.R., Deepak, B.B.V.L.: Review on application of drone systems in precision agriculture. Procedia Comput. Sci. 133, 502\u2013509 (2018)","journal-title":"Procedia Comput. Sci."},{"key":"8_CR19","doi-asserted-by":"crossref","unstructured":"Mohidem, N.A., et al.: Application of multispectral UAV for paddy growth monitoring in Jitra, Kedah, Malaysia. In: IOP Conference Series: Earth and Environmental Science, vol. 1038, p. 012053. IOP Publishing (2022)","DOI":"10.1088\/1755-1315\/1038\/1\/012053"},{"issue":"19","key":"8_CR20","doi-asserted-by":"publisher","first-page":"6540","DOI":"10.3390\/s21196540","volume":"21","author":"Q Pan","year":"2021","unstructured":"Pan, Q., Gao, M., Wu, P., Yan, J., Li, S.: A deep-learning-based approach for wheat yellow rust disease recognition from unmanned aerial vehicle images. Sensors 21(19), 6540 (2021)","journal-title":"Sensors"},{"key":"8_CR21","unstructured":"Rzevski, G.: Artificial intelligence in engineering: past, present and future. WIT Trans. Inf. Commun. Technol. 10, 14 (1970)"},{"key":"8_CR22","doi-asserted-by":"crossref","unstructured":"Sanchez-Cuevas, P., Heredia, G., Ollero, A.: Characterization of the aerodynamic ground effect and its influence in multirotor control. Int. J. Aerospace Eng. 2017 (2017)","DOI":"10.1155\/2017\/1823056"},{"issue":"4","key":"8_CR23","doi-asserted-by":"publisher","first-page":"997","DOI":"10.1177\/0954410019893215","volume":"234","author":"J Sanwale","year":"2020","unstructured":"Sanwale, J., Trivedi, P., Kothari, M., Malagaudanavar, A.: Quaternion-based position control of a quadrotor unmanned aerial vehicle using robust nonlinear third-order sliding mode control with disturbance cancellation. Proc. Inst. Mech. Eng. Part G: J. Aerosp. Eng. 234(4), 997\u20131013 (2020)","journal-title":"Proc. Inst. Mech. Eng. Part G: J. Aerosp. Eng."},{"key":"8_CR24","unstructured":"Shin, Y.: Neural network based adaptive control for nonlinear dynamic regimes. Ph.D. thesis, Georgia Institute of Technology (2005)"}],"container-title":["Communications in Computer and Information Science","Pan-African Conference on Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-57639-3_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,9]],"date-time":"2024-04-09T14:03:23Z","timestamp":1712671403000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-57639-3_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031576386","9783031576393"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-57639-3_8","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"10 April 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PanAfriConAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pan African Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Addis Ababa","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ethiopia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 October 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 October 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"panafricon2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/panafriconai.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"134","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"29","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"22% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}