Prediction of agricultural products is needed in terms of planning and decision making as well as in policy making for national food security. One strategic commodity that needs special attention is rice. This study aims to predict rice yields using unmanned aircraft. The results of image acquisition are processed by multi thresholding method to separate leaf objects, rice panicles, and background. Furthermore, the results of sorting objects are used as input in making predictions of rice crop models using artificial neural networks. To compare the results of predictions, we weighed the weight of rice harvest on each block. The results showed that between predictions and actual correlations were very strong with R2 = 0.88, MSE (Mean Square Error) = 0.169 and MAPE (Mean Absolute Percentage Error) values ​​were -0.006. These results indicate that the prediction model of rice yields can be used for estimation purposes.
Copyright (c) 2019 Abdul Holik, Riza Rahimi Bachtiar

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
Crossref
https://mpi.staima-alhikam.ac.id/
https://pafidesapancoranmas.org/
a
https://journal.gpp.or.id/index.php/grtss/index
https://udayannursingcollege.edu.bd/
https://scientiamilitaria.journals.ac.za/
https://sharifmedicalcity.org/
https://publikacije.uninp.edu.rs/
https://astragraphia.org/id/tentang-kami/dewan-komisaris/
https://revistas.itsup.edu.ec/
https://openjournal.wdh.ac.id/
https://himpsisulteng.org/members/
https://himpsijayapura.org/members/
https://himpsimaluku.org/members/
https://erawanhotel.org/about-us/
https://createcaribbean.org/symposium/
https://createcaribbean.org/vcl/
https://portal.createcaribbean.org/
https://proceedings.stikep-ppnijabar.ac.id/
https://journal.stikep-ppnijabar.ac.id/
https://sifisheriessciences.com/
https://revistas.untumbes.edu.pe
https://slot777bonus100.online
https://revistas.univalle.edu.co/
https://colombiamedica.univalle.edu.co/
https://libros.univalle.edu.co
slot88matauangslot.online -asli
slot88matauangslot.store -asli
slot777matauangslot.online -asli
https://revistas.untumbes.edu.pe
https://slot777bonus100.online
https://revistascientificas.uach.mx/
https://revistas.univalle.edu.co/
https://colombiamedica.univalle.edu.co/
https://rcientificas.uninorte.edu.co/
https://situstotoslot777.online/
https://jurnal.unimed.ac.id/2012/
https://ejournal.unkaha.ac.id/
https://poltekkesjaksel.org/jurusan-program-studi
https://poltekkesjakut.org/jurusan-program-studi
https://poltekkeskalteng.org/jurusan-program-studi
Jurnal Ilmiah Rekayasa Pertanian dan Biosistem is mainly managed under Agricultural Engineering Studies Program (TEP) and is published by the Faculty of Food Technology and Agroindustry, University of Mataram in collaboration with the Indonesian Agricultural Engineering Association (PERTETA)