Nitrogen Test Tool in Rice Leaves Based on Android Application
DOI:
https://doi.org/10.12928/biste.v3i1.3071Keywords:
Aplikasi, Nitrogen, Padi, Android, Daun PadiAbstract
This study aims to make an application for measuring nitrogen requirements in rice leaves based on an android application. The method used is the On Touch Motion Event. The onTouch method will be used when a touch will be sent to be displayed, then MotionEvent contains information about the touch made. System testing is carried out to display images using the Open Camera button using a smartphone camera, after that look for the RGB value then convert it to the BWD scale. This research has succeeded in building an application that can determine nitrogen levels in rice leaves through leaf color and provide recommendations for the amount of fertilization according to the desired results. The results of tests that have been carried out on 6 samples of rice leaves with 60 samples of RGB value data produce an accuracy rate of using the application of 78.33% and the remaining 21.66% is an error value. And how to calculate the land area, the results obtained from the need for urea per plant in 1 ha are 120 kg, where the BWD table shows the value of leaf color on a scale of 2-3 and requires a urea measurement of 100 which is estimated to get a yield rate of 6 t / ha.References
I. N. Y. Wijana, S. Gede, and G. M. Adnyana, “Aplikasi Jenis Pupuk Organik pada Tanaman Padi Sistem Pertanian Organik,” E-Jurnal Agroekoteknologi Trop., vol. 1, no. 2, pp. 98–106, 2012. Online
A. R. T. Saputra, L. Rahmawati, D. Budianta, and S. J. Priatna, “Serapan Nitrogen pada Pertumbuhan Padi (Oryza Sativa L) dengan Pemberian Biochar di Lahan Rawa Lebak Nitrogen Uptake in Growth of Rice (Oryza Sativa L.) by Applying Biochar in Peat Swamp,” Pros. Semin. Nas. Lahan Suboptimal, pp. 65–73, 2016. Online
T. Triadiati, A. Pratama, and S. Abdulrachman, “Pertumbuhan dan Efisiensi Penggunaan Nitrogen pada Padi (Oryza sativa L.) Dengan Pemberian Pupuk Urea yang Berbeda,” Buletin Anatomi dan Fisiologi, vol. 20, no. 2, pp. 1-14, Apr. 2013. https://doi.org/10.14710/baf.v20i2.4767
E. Tando, “Upaya Efisiensi Dan Peningkatan Ketersediaan Nitrogen Dalam Tanah Serta Serapan Nitrogen Pada Tanaman Padi Sawah (Oryza Sativa L.),” Buana Sains, vol. 18, no. 2, 2018. DOI: https://doi.org/10.33366/bs.v18i2.1190
S. M. Bagshaw and R. Bellomo, “the Influence of Knowledge Management on,” Curr. Opin. Crit. Care, vol. 13, no. 5, pp. 541–548, 2017. DOI: https://doi.org/10.1097/MCC.0b013e3282e2a978
R. L. A. Abu, Z. Basri, U. Made, “Respon Pertumbuhan Dan Hasil Tanaman Padi (Oryza Sativa L.) Terhadap Kebutuhan Nitrogen Menggunakan Bagan Warna Daun,” Agroland, vol. 24, no. 2, 2017. Online
A. Domiah, J. Januar. "Studi Komparatif Usahatani Padi Semi Organik Dan Konvensional Di Desa Watukebo Kecamatan Blimbingsari Kabupaten Banyuwangi,” JSEP (Journal of Social and Agricultural Economics), vol. 11, no. 3, 56-65, 2018. DOI: https://doi.org/10.19184/jsep.v11i3.9146
B. E. Cahyono, A. T. Nugroho, and A. Arifilla, “Analisis usia tanaman padi berdasarkan nilai NDVI menggunakan citra LANDSAT 8,” Jurnal Teras Fisika: Teori, Modeling, dan Aplikasi Fisika, vol. 2, no.1, pp. 9-13, 2019. DOI: https://doi.org/10.20884/1.jtf.2019.2.1.1245
A. Shankar, R. K. Gupta, and B. Singh,” Establishing indicator leaf and its threshold values for need based nitrogen management using chlorophyll meter and leaf color chart in Bt cotton,” Journal of Plant Nutrition, vol. 42, no. 2 pp. 186-201, 2019. DOI: https://doi.org/10.1080/01904167.2018.1551492
E. Murniyasih and luluk suryani,” The Application Of Learning Vector Quantization Method For Identifying The Rice Disease Based On The Shape Of Leaf Spot”, Jurnal Electro Luceat (JEL), vol. 6, no. 1, pp. 28-35, Jul. 2020. DOI: https://doi.org/10.32531/jelekn.v6i1.190
S. A. Akbar, A. Yudhana, "Prototipe Tabung Semprot Pupuk Cair Berbasis Wahana Quadcopter bagi Lahan Pertanian Tanaman Padi,” Jurnal Ecotipe, vol. 3, no. 2, hlm. 26-30, 2016. DOI: https://doi.org/10.33019/ecotipe.v3i2.22
A. Yudhana, H. S. Purnama, M. Ramadhani, A. C. Subrata,” Otomasi dan Instrumentasi untuk Smart Farming dan Smart Glove,” Eprint UAD, 2018. Online
A. Yudhana, Sunardi, S. Saifullah, ”Segmentation Comparing Eggs Watermarking Image and Original Image,” Buletin of Electrical Engineering and Informatics, vol. 6, No. 1, pp. 47-53, 2017. DOI: https://doi.org/10.11591/eei.v6i1.595
E. B. Setiawan and R. Herdianto,” Penggunaan Smartphone Android sebagai Alat Analisis Kebutuhan Kandungan Nitrogen pada Tanaman Padi," JNTETI, vol. 7, no. 3, 2018. DOI: http://dx.doi.org/10.22146/jnteti.v7i3.435
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Anton Yudhana, Muhammad Darso
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:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
This journal is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.