{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T09:35:43Z","timestamp":1761989743023,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031398100"},{"type":"electronic","value":"9783031398117"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-39811-7_25","type":"book-chapter","created":{"date-parts":[[2023,8,27]],"date-time":"2023-08-27T18:01:28Z","timestamp":1693159288000},"page":"307-320","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["An Embedded System for Smart Farming Using Machine Learning Approaches"],"prefix":"10.1007","author":[{"given":"R. Dhaya","family":"Sree","sequence":"first","affiliation":[]},{"given":"A. Arun","family":"Raja","sequence":"additional","affiliation":[]},{"given":"S.","family":"Jayanthy","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,8,28]]},"reference":[{"key":"25_CR1","unstructured":"Paul, M., Vishwakarma, S.K.: Analysis of soil behaviour and prediction of crop yield using data mining approach. IEEE Access 6(1), 65\u201371 (2019)"},{"key":"25_CR2","doi-asserted-by":"crossref","unstructured":"Bang, S., Bishnoi, R.: Fuzzy logic based crop yield prediction using temperature and rainfall parameters predicted through ARMA, SARIMA, and ARMAX models. IEEE Access 8(4), 75\u201380 (2019)","DOI":"10.1109\/IC3.2019.8844901"},{"key":"25_CR3","unstructured":"Vaishnavi, P., Kalimuthu, M.: Crop prediction using machine learning algorithms. Int. J. Adv. Eng. Technol. 1(1), 2, 1\u20138 (2020)"},{"key":"25_CR4","unstructured":"Kumar, A., Kumar, N., Vats, V.: Efficient crop yield prediction using machine learning algorithms. Int. Res. J. Eng. Technol. 5(06) (2019)"},{"key":"25_CR5","doi-asserted-by":"publisher","first-page":"86886","DOI":"10.1109\/ACCESS.2020.2992480","volume":"8","author":"PM Dhivya Elavarasan","year":"2020","unstructured":"Dhivya Elavarasan, P.M., Vincent, D.: Crop yield prediction using deep reinforcement learning model for sustainable agrarian applications. IEEE Access 8, 86886\u201386901 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.2992480","journal-title":"IEEE Access"},{"key":"25_CR6","doi-asserted-by":"crossref","unstructured":"Keerthana, M.: An ensemble algorithm for crop yield prediction. In: Third International conference on Intelligent communication technologies and virtual mobile network. IEEE Xplore Part Number: CFP21ONG (2020)","DOI":"10.1109\/ICICV50876.2021.9388479"},{"key":"25_CR7","doi-asserted-by":"publisher","first-page":"621","DOI":"10.3389\/fpls.2019.00621","volume":"10","author":"S Khaki","year":"2019","unstructured":"Khaki, S., Wang, L.: Crop yield prediction using deep neural networks. Front. Plant Sci. 10, 621 (2019)","journal-title":"Front. Plant Sci."},{"key":"25_CR8","doi-asserted-by":"crossref","unstructured":"Kumar, Y.J.N., Spandana, V., Vaishnavi, V.S., Neha, K., Devi, V.G.R.R.: Supervised machine learning approach for crop yield prediction in agriculture sector. In: 2020 5th International Conference on Communication and Electronics Systems (ICCES), vol. 4, pp. 736\u2013741. IEEE (2020)","DOI":"10.1109\/ICCES48766.2020.9137868"},{"key":"25_CR9","unstructured":"Islam, T., Chisty, T.A., Chakrabarty, A.: A deep neural network approach for crop selection and yield prediction in Bangladesh. In: IEEE Region 10 Humanitarian Technology Conference (R10- HTC), vol. 1, pp. 1\u20136 (2020)"},{"key":"25_CR10","doi-asserted-by":"crossref","unstructured":"Nigam, A., Garg, S., Agrawal, A., Agrawal, P.: Crop yield prediction using machine learning algorithms. In: Fifth International Conference on Image Processing (ICIIP), IEEE Xplore Part Number: CFP21K74-ART (2019)","DOI":"10.1109\/ICIIP47207.2019.8985951"},{"key":"25_CR11","unstructured":"Paul, M., Vishwakarma, S.K., Verma, A.: Analysis of Soil Behavior and Prediction of Crop Yield using Data Mining approach, vol. 10, pp. 65\u20139 (2019)"},{"key":"25_CR12","doi-asserted-by":"crossref","unstructured":"Malik, P., Sengupta, S.: Comparative analysis of soil properties to predict fertility and crop yield using machine learning algorithms. In: 2021 11th International Conference on Cloud Computing, Data Science & Engineering (2021)","DOI":"10.1109\/Confluence51648.2021.9377147"},{"key":"25_CR13","doi-asserted-by":"crossref","unstructured":"Sujatha, R., Isakki, P.: A study on crop yield forecasting using classification techniques. In: 2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE 2016). IEEE (2019)","DOI":"10.1109\/ICCTIDE.2016.7725357"},{"key":"25_CR14","doi-asserted-by":"crossref","unstructured":"Kale, Shivani S., Patil, P.S.: A machine learning approach to predict crop yield and success rate. In: 2019 IEEE Pune Section International Conference (PuneCon). IEEE (2019)","DOI":"10.1109\/PuneCon46936.2019.9105741"},{"key":"25_CR15","unstructured":"Ramesh, M., Rajpurohit, V.S., Shweta, S.: Crop yield prediction using machine learning techniques. In: 2019 IEEE 5th International Conference for Convergence in Technology (I2CT). IEEE, Land, vol. 10, no. 12, pp. 1389 (2021)"},{"key":"25_CR16","doi-asserted-by":"crossref","unstructured":"Dhaya Sree, R., Jayanthy, S., Essaki Vigneshwaran, E.: Estimation of Remaining Useful Life (RUL) of BLDC motor using machine learning approaches. In: 2022 7th International Conference on Communication and Electronics Systems (ICCES) (2022)","DOI":"10.1109\/ICCES54183.2022.9835744"}],"container-title":["IFIP Advances in Information and Communication Technology","Computer, Communication, and Signal Processing. AI, Knowledge Engineering and IoT for Smart Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-39811-7_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,29]],"date-time":"2023-10-29T12:03:51Z","timestamp":1698581031000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-39811-7_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031398100","9783031398117"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-39811-7_25","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1868-422X"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"28 August 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCCSP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computer, Communication, and Signal Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chennai","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","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":"4 January 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 January 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icccsp2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icccsp.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Open","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":"123","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":"17","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":"9","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":"14% - 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":"4","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)"}}]}}