{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T16:49:43Z","timestamp":1781282983047,"version":"3.54.1"},"reference-count":30,"publisher":"Emerald","issue":"1","license":[{"start":{"date-parts":[[2020,6,4]],"date-time":"2020-06-04T00:00:00Z","timestamp":1591228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJPCC"],"published-print":{"date-parts":[[2021,2,19]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>The purpose of this paper aims to reduce the manpower, electricity, and water consumption for irrigation.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>The IoT-based smart irrigation system designed with various sensors to collect farm field data, and stored all the data in the cloud for scheduling the irrigation.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>This system reduces the water and electricity consumption, and labor cost.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Research limitations\/implications<\/jats:title>\n<jats:p>Difficult to implement on a small farm field with different crops.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Practical implications<\/jats:title>\n<jats:p>Crop type, soil type and environment data should be considered for better saving of water.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Social implications<\/jats:title>\n<jats:p>Reduces the water consumption, electricity, man power and increase production.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>The soil type, crop type and environment data have been added before irrigation. The climate data also included before scheduling. Dynamic changing of irrigation timings based on the climate and sensor data.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/ijpcc-03-2020-0013","type":"journal-article","created":{"date-parts":[[2020,6,4]],"date-time":"2020-06-04T05:34:15Z","timestamp":1591248855000},"page":"3-19","source":"Crossref","is-referenced-by-count":16,"title":["Smart scheduling on cloud for IoT-based sprinkler irrigation"],"prefix":"10.1108","volume":"17","author":[{"given":"Mannar","family":"Mannan J.","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kanimozhi Suguna","family":"S.","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dhivya","family":"M.","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Parameswaran","family":"T.","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"140","published-online":{"date-parts":[[2020,6,4]]},"reference":[{"key":"key2021043009213726000_ref001","unstructured":"Agriculture Census (2010-2011), \u201cAgriculture census\u201d, Department of Agriculture and Corporation, available at: www.weatheronline.in\/ or www.fao.org\/docrep\/r4082e\/r4082e02.htm#TopOfPage"},{"key":"key2021043009213726000_ref002","doi-asserted-by":"crossref","first-page":"500","DOI":"10.1016\/j.compag.2018.12.016","article-title":"An analysis of energy efficiency in wireless sensor networks (WSNs) applied in smart agriculture","volume":"156","year":"2019","journal-title":"Computers and Electronics in Agriculture"},{"key":"key2021043009213726000_ref003","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1016\/j.agwat.2019.03.047","article-title":"A system dynamics model of smart groundwater governance","volume":"221","year":"2019","journal-title":"Agricultural Water Management"},{"issue":"1","key":"key2021043009213726000_ref004","first-page":"1000158","article-title":"An IoT-based solution for control and monitoring of additive manufacturing processes","volume":"6","year":"2017","journal-title":"Journal of Powder Metallurgy and Mining"},{"key":"key2021043009213726000_ref005","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1016\/j.compeleceng.2018.11.013","article-title":"Smart sensor for automatic drip irrigation system for paddy cultivation","volume":"73","year":"2019","journal-title":"Computers and Electrical Engineering"},{"key":"key2021043009213726000_ref006","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1016\/j.agwat.2019.05.036","article-title":"Effect of soil and water management practices on crop productivity in tropical inland valley swamps","volume":"222","year":"2019","journal-title":"Agricultural Water Management"},{"key":"key2021043009213726000_ref007","article-title":"An integrated approach for weather forecasting over Internet of Things: a brief review","volume-title":"International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","year":"2017"},{"key":"key2021043009213726000_ref008","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1016\/j.agwat.2019.05.030","article-title":"Simulating impacts of climate change on cotton yield and water requirement using RZWQM2","volume":"222","year":"2019","journal-title":"Agricultural Water Management"},{"issue":"5","key":"key2021043009213726000_ref009","doi-asserted-by":"crossref","first-page":"3758","DOI":"10.1109\/JIOT.2018.2844296","article-title":"An overview of Internet of Things (IoT) and data analytics in agriculture: benefits and challenges","volume":"5","year":"2018","journal-title":"IEEE Internet of Things Journal"},{"issue":"11","key":"key2021043009213726000_ref010","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1109\/MCOM.2011.6069709","article-title":"M2M-based metropolitan platform for IMS-enabled road traffic management in IoT","volume":"49","year":"2011","journal-title":"IEEE Communications Magazine"},{"issue":"9","key":"key2021043009213726000_ref011","doi-asserted-by":"crossref","first-page":"5122","DOI":"10.1109\/JSEN.2015.2435516","article-title":"Smartphone irrigation sensor","volume":"15","year":"2015","journal-title":"IEEE Sensors Journal"},{"issue":"40","key":"key2021043009213726000_ref012","first-page":"33","article-title":"Classification of soil type in Salem district using J48 algorithm","volume":"9","year":"2016","journal-title":"IJCTA"},{"key":"key2021043009213726000_ref013","doi-asserted-by":"crossref","unstructured":"Hong, I., Park, S., Lee, B., Lee, J., Jeong, D. and Park, S. 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