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Use of internet of things (IOT) in agriculture: its implications, success and future challenges
Author(s):
1. Sanila Sahar: Directorate of Information Technology, Cholistan University of Veterinary and Animal Sciences,Bahawalpur,Pakistan
2. Rana Tauqeer Ahmed: Regional Agricultural Research Institute,Bahawalpur,Pakistan
3. Wajiha Anum: Regional Agricultural Research Institute,Bahawalpur,Pakistan
4. Abid Ali: Regional Agricultural Research Institute,Bahawalpur,Pakistan
5. Muhammad Nadeem Akhtar: Main Library and IT Department, Ayub Agricultural Research Institute,Faisalabad,Pakistan
6. Hafiz Muhammad Ijaz: Ayub Agricultural Research Institute,Faisalabad,Pakistan
7. Zeenat Javeed: Soil and Water Testing Laboratory for Research, Bahawalpur, Pakistan
8. Hafiz Muhammad Sohaib Akhtar: Department of Plant Breeding and Genetics, The Islamia University of Bahawalpur,,Pakistan
9. Hafiz Riaz Ahmad: Soil Fertility Research Institute,Lahore,Pakistan
10. Hafiz Tassawar Abbas: Department of Plant Pathology, Lasbela University of Agriculture, Water & Marine Sciences,Uthal,Pakistan
Abstract:
Agriculture is the backbone of the economy of any country and enjoys the utmost position in providing l ivelihood to people and ensuring and harboring ecosystem sustainability, however, industrial ization and its subsequent effects demand the upg radation of the current farming system. In this regard, novel Information technologies and artificial intelligence provide the ultimate pathways for enhancing ag ricul tural yield. The Internet of Th ings (IoT) is the use of information technology and wireless communicators and sensors mounted on different objects that have the ability to communicate in real time. The f ield of IoT can manage crop g rowing environment, predict the soil need for fertilizers, identify plant diseases, and hel p in farm machinery automation thus minimizing labor-related challenges. By keeping the concept in mind, we present a detailed review related to IoT in farming systems w ith special emphasis on smart agriculture and cloud computing, sensors and communication platforms, and deep and transfer learning in disease recognition. Soil temperature and moisture prediction, meteorology events and the onset of pest attacks can solve crop loss challenges by alerting the farming community before the onset of such unfortunate events and before hitting the economic th reshold levels.
Page(s): 467-476
Published: Journal: Pak-Euro Journal of Medical and Life Sciences, Volume: 6, Issue: 4, Year: 2023
Keywords:
Cloud Computing , Internet of Things , crop monitoring , Crop sensors , Smart agriculture
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