Rice Crop Counting Using Aerial Imagery and GIS for the Assessment of Soil Health to Increase Crop Yield.
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| Title: | Rice Crop Counting Using Aerial Imagery and GIS for the Assessment of Soil Health to Increase Crop Yield. |
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| Authors: | Hassan SI; Department of Electronics and Electrical Engineering, Universiti Kuala Lumpur British Malaysian Institute (UniKL BMI), Batu 8, Jalan Sungai Pusu, Gombak 53100, Malaysia.; National Centre for Big Data and Cloud Computing, Ziauddin University, Karachi 74600, Pakistan.; Department of Electrical Engineering, Ziauddin University, Karachi 74600, Pakistan., Alam MM; Faculty of Computing, Riphah International University, Islamabad 46000, Pakistan.; Faculty of Computing and Informatics, Multimedia University, Cyberjaya 63100, Malaysia.; Malaysian Institute of Information Technology, University of Kuala Lumpur, Kuala Lumpur 50250, Malaysia.; Faculty of Engineering and Information Technology, School of Computer Science, University of Technology, Sydney 2006, Australia., Zia MYI; Department of Electrical Engineering, Ziauddin University, Karachi 74600, Pakistan., Rashid M; Department of Computer Engineering, Umm Al Qura University, Makkah 21955, Saudi Arabia., Illahi U; Department of Electrical Engineering, FET, Gomal University, Dera Ismail Khan 29050, Pakistan., Su'ud MM; Faculty of Computing and Informatics, Multimedia University, Cyberjaya 63100, Malaysia.; Water and Engineering Section, MFI, Universiti Kuala Lumpur Malaysian France Institute (UniKL MFI), Section 14, Jalan Damai, Seksyen 14, Bandar Baru Bangi 43650, Malaysia. |
| Source: | Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Nov 07; Vol. 22 (21). Date of Electronic Publication: 2022 Nov 07. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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