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Information technology based smart farming model development in agriculture land

IAES International Journal of Artificial Intelligence · Vol. 11 No. 2 (2022) · hlm. 564–571

DOI
10.11591/ijai.v11.i2.pp564-571
ISSN
2252-8938, 2089-4872
Terbit
2022-06-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

Smart farming in various worlds is not just about applying technology in terms of storing data on agricultural land. However, having a concept of measurable data based on available computational techniques trained and then generating knowledge. As an application, the agri drone sprayer can be used for the process of applying pesticides and liquid fertilizers on each side. In addition, drone surveillance is also useful in implementing smart farming such as mapping land so that farmers will know the condition of their agricultural land. However, the soil and weather sensor will also help the farmers to monitor the farmland as well. Devices with sensors can only obtain data in the form of air and soil humidity, temperature, soil pH, water content and forecasting the harvest period. So that the smart farming model can help farmers to get recommendations, in preventing the predicted damage to their land and crops. However, according to its geographical location, the application of smart farming can be a smart solution to agricultural problems in Indonesia and make the future of Indonesian Agriculture a technology-based smart agriculture.

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  • Universitas Sumatera Utara
  • Telkom University
  • Politeknik Negeri Medan
  • Universitas Muhammadiyah Sumatera Utara
  • International Islamic University Malaysia
  • Pertamina (Indonesia)
  • Bandung Institute of Technology
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Rekan penulisOrganisasiArtikel bersama
Sarah PurnamawatiUniversitas Sumatera Utara5
Mahyuddin K. M. NasutionUniversitas Sumatera Utara4
Mhd Faris PratamaUniversitas Sumatera Utara4
Sharfina FazaPoliteknik Negeri Medan4
Julham JulhamPoliteknik Negeri Medan3
Idham KamilPoliteknik Negeri Medan3
Ferry FachrizalPoliteknik Negeri Medan3
Hariyadi HariyadiUniversitas Muhammadiyah Sumatera Barat3
Habibi Ramdani SafitriPoliteknik Negeri Medan3
Syahril EfendiUniversitas Sumatera Utara2
Elviawaty Muisa ZamzamiUniversitas Sumatera Utara2
Opim Salim SitompulUniversitas Sumatera Utara2
Dini Oktarina Dwi HandayaniTaylor's University2
Tien Fabrianti KusumasariTelkom University1
Lukmanul HakimInternational Islamic University Malaysia1
Hanif FakhrurrojaTelkom University1
Rian Bimo AnkhalTelkom University1
Muhammad Fakhrul SafitraPertamina (Indonesia)1
Yulio FerdinandTelkom University1
Oktariani Nurul PratiwiTelkom University1
Sinung SuakantoTelkom University1
Jan M. PawlowskiAfiliasi tidak diketahui1
Litasari Widyastuti SuwarsonoTelkom University1
Joko SiswantoBandung Institute of Technology1
Syfa Nur LathifahTelkom University1
Amrullah AmrullahUniversitas Muhammadiyah Sumatera Utara1
Akbar IdamanUniversitas Satya Terra Bhinneka1
Herman MawengkangUniversitas Sumatera Utara1
Michael John WattsMedia Design School1
Anton Abdulbasah Kamilİstanbul Gelişim Üniversitesi1
Suherman SuhermanUniversitas Sumatera Utara1
Albert AlbertUniversitas Sumatera Utara1
Anggi Yohanes PardedeUniversitas Sumatera Utara1
Iqbal FakhrizaUniversitas Sumatera Utara1
Farhad NadiUNITAR International University1
M F SyahputraUniversitas Sumatera Utara1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) http://ijai.iaescore.com/index.php/IJAI/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Information technology based smart farming model development in agriculture land</dc:title>
	<dc:creator>Al-Khowarizmi, Al-Khowarizmi</dc:creator>
	<dc:creator>Ridho Lubis, Arif</dc:creator>
	<dc:creator>Lubis, Muharman</dc:creator>
	<dc:creator>Fadillah Rahmat, Romi</dc:creator>
	<dc:subject xml:lang="en-US"></dc:subject>
	<dc:subject xml:lang="en-US">agricultural land; drones; sensors; smart farming</dc:subject>
	<dc:description xml:lang="en-US">Smart farming in various worlds is not just about applying technology in terms of storing data on agricultural land. However, having a concept of measurable data based on available computational techniques trained and then generating knowledge. As an application, the agri drone sprayer can be used for the process of applying pesticides and liquid fertilizers on each side. In addition, drone surveillance is also useful in implementing smart farming such as mapping land so that farmers will know the condition of their agricultural land. However, the soil and weather sensor will also help the farmers to monitor the farmland as well. Devices with sensors can only obtain data in the form of air and soil humidity, temperature, soil pH, water content and forecasting the harvest period. So that the smart farming model can help farmers to get recommendations, in preventing the predicted damage to their land and crops. However, according to its geographical location, the application of smart farming can be a smart solution to agricultural problems in Indonesia and make the future of Indonesian Agriculture a technology-based smart agriculture.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2022-06-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijai.iaescore.com/index.php/IJAI/article/view/21192</dc:identifier>
	<dc:identifier>10.11591/ijai.v11.i2.pp564-571</dc:identifier>
	<dc:source xml:lang="en-US">IAES International Journal of Artificial Intelligence (IJ-AI); Vol 11, No 2: June 2022; 564-571</dc:source>
	<dc:source>2252-8938</dc:source>
	<dc:source>2089-4872</dc:source>
	<dc:source>10.11591/ijai.v11.i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijai.iaescore.com/index.php/IJAI/article/view/21192/13357</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2021 Institute of Advanced Engineering and Science</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>