%0 Conference Proceedings
%T An Application-Driven IoT Based Rooftop Farming Model for Urban Agriculture
%+ University College of Engineering Villupuram
%+ Rohini College of Engineering and Technology Anjugramam Tamil Nadu India
%A Paramarthalingam, Arjun
%A Arivunambi, Amirthasaravanan
%A Thapasimony, Sreedhar
%Z Part 1: Machine Learning (ML), Deep Learning (DL), Internet of Things (IoT)
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 4th International Conference on Computational Intelligence in Data Science (ICCIDS)
%C Chennai, India
%Y Vallidevi Krishnamurthy
%Y Suresh Jaganathan
%Y Kanchana Rajaram
%Y Saraswathi Shunmuganathan
%I Springer International Publishing
%3 Computational Intelligence in Data Science
%V AICT-611
%P 52-63
%8 2021-03-18
%D 2021
%R 10.1007/978-3-030-92600-7_5
%K Rooftop farming
%K Urban agriculture
%K IoT in agriculture
%K IoT
%K Smart agriculture
%Z Computer Science [cs]Conference papers
%X Presently, the urban world are switching to rooftop farming with technology support to cope with the increasing food demand and effective utilization of various resources. But the monitoring of farming in high raised building (rooftop) is little challenging. This paper presents an IoT based smart rooftop irrigation system to efficiently manage water dispersal and provides improved urban based rooftop farming productivity. The proposed model regularly monitors soil temperature and moisture level, i.e., rooftop farming are irrigated automatically without physical presence of planter and it also uses smart mobiles for irrigation control. The proposed automatic irrigation farming modal uses sensor technology, communication technology and embedded hardware technology. That is, the atmospheric weather data such as moisture level and water level are collected periodically from different part of rooftop farm area and it is analyzed, which will trigger the switching of water motor/overhead tank pump and send status updates to the planter.
%G English
%Z TC 12
%2 https://inria.hal.science/hal-03772951/document
%2 https://inria.hal.science/hal-03772951/file/512058_1_En_5_Chapter.pdf
%L hal-03772951
%U https://inria.hal.science/hal-03772951
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC12
%~ IFIP-ICCIDS
%~ IFIP-AICT-611