Ahmed, Mukhtar
- Department of Agricultural Research for Northern Sweden, Swedish University of Agricultural Sciences
- Pir Mehr Ali Shah Arid Agriculture University
Book chapter2021Peer reviewed
Mehmood, M.Z.; Ahmed, M.; Afzal, O.; Aslam, M.A.; Zoq-ul-Arfeen, R.; Qadir, G.; Komal, S.; Shahid, M.A.; Awan, A.A.; Awale, M.A.; Sameen, A.; Kalsoom, T.; Nasim, W.; Fayyaz-ul-Hassan, ; Ahmad, S.
For sustainable agricultural production and timely preparations to mitigate the climate change impacts, innovative modern technologies can be used. These technologies have great potential for monitoring agricultural systems and valuable solutions to combat climate change in order to offset the adverse impacts on agricultural production. Farmers need continuous information throughout the crop life cycle for implementing profitable farming decisions. Internet of things (IoT) is one of the advanced technologies in smart agriculture. IoT is the network of Internet connected devices to obtain and transfer real-time data. Now, the manual and conventional procedures are being replaced with automated technologies globally. IoT is becoming popular in agriculture sector as compared to conventional agriculture due to its distinguishing features such as less energy requirement, good global connectivity, and real-time data collection. On the other hand, device compatibility is the major limitation in IoT but now the solutions are being developed with technological advancements. This chapter focuses on the role of information communication technology (ICT) and IoT in agriculture domain and proposes the benefits of these wireless technologies. Use of IoT technology in smart farming can serve as a solution for several management and decision-making for building climate resilience in agriculture.
Climate change; E-Agriculture; Internet of things; Precision agriculture; Sensors; Smart agriculture
Title: Building Climate Resilience in Agriculture : Theory, Practice and Future Perspective
Publisher: Springer International Publishing
Agricultural Science
Computer Science
https://res.slu.se/id/publ/129771