DETEKSI PENYAKIT BERBASIS Convolutional Neural Network (CNN) DAN PENINJAUAN KESUBURAN TANAH SEBAGAI UPAYA PENINGKATAN HASIL TANAMAN KOPI ROBUSTA DI DESA LOK-TUNGGUL KABUPATEN BANJAR
DOI:
https://doi.org/10.29303/abdiinsani.v10i2.976Keywords:
Agropreneur, Digital Image Processing, Land ManagementAbstract
"Gerakan Tanam Kopi Serempak" (GERTAK) The Simultaneous Coffee Planting Movement Program (GERTAK) initiated by the Provincial Government of South Kalimantan has encouraged the rise of coffee MSMEs. The upstream and downstream sectors facilitated by the government can encourage the formation of a spirit of independence for young people in entrepreneurship. However, the problem upstream is that knowledge of coffee cultivation techniques still needs to be improved. It's due to the need for more practical literacy in coffee cultivation compared to other plantation crops, so academics must be involved in disseminating knowledge and technology to maximize their business. This activity aims to provide an understanding and practical solutions to disease attacks and soil management through IoT-based disease detection trials and surveys of soil fertility to increase coffee crop yields. Participants can use IoT-based disease detection and manage soil nutrients based on the results of the soil sampling unit. The activity was carried out through the Service-Learning approach (method). This approach uses four principles: engagement, reflection, reciprocity, and public dissemination, each reflected in problem identification activities in the region, discussion groups, field trials, and material delivery. The results of the activity showed the participants' interest in applying CNN-based Disease Detection Apps for Coffee technology. In addition, monitoring soil fertility through a soil sampling unit technique can assist farmers in providing precise and measurable fertilizers and organic matter. Material controlling plant pests and managing soil fertility are important parts that must be applied to increase coffee crop yields. Four main diseases originate from fungi that attack coffee plants, while the results of a soil fertility survey indicate that the soil is infertile. The activity evaluation results showed that the participants' satisfaction level was 68 points. The marketing aspect of finished products (ground coffee) still needs to be solved and requires training as a curation measure for MSMEs.
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References
Abdollahzadeh, J., Groenewald, J. Z., Coetzee, M. P. A., Wingfield, M. J., & Crous, P. W. (2020). Evolution of lifestyles in Capnodiales. Studies in Mycology, 95(3), 381–414. https://doi.org/10.1016/j.simyco.2020.02.004
Adzkiya, M. A. Z., Renanti, M. D., & Trison, S. (2023). Edukasi dan Eksplorasi Pengolahan Kopi di Perhutanan Sosial Desa Jambewangi, Kabupaten Banyuwangi. Jurnal Abdi Insani Universitas Mataram, 10(1), 212–223. https://doi.org/10.29303/abdiinsani.v10i1.881
Andrade, C. C. L., de Resende, M. L. V., Moreira, S. I., Mathioni, S. M., Botelho, D. M. S., Costa, J. R., Andrade, A. C. M., & Alves, E. (2021). Infection process and defense response of two distinct symptoms of Cercospora leaf spot in coffee leaves. Phytoparasitica, 49(4), 727–737. https://doi.org/10.1007/s12600-021-00902-2
Aufar, Y., Abdillah, M. H., & Romadoni, J. (2023). Web-based CNN Application for Arabica Coffee Leaf Disease Prediction in Smart Agriculture. Jurnal Resti (Rekayasa Sistem Dan Teknologi Informasi), 5(2), 72–79. https://doi.org/10.29207/resti.v7i1.462
Badan Pusat Statistik. (2022). Statistik Kopi Indonesia 2021. Badan Pusat Statistik Republik Indonesia. https://www.bps.go.id/publication/download.html?nrbvfeve
Christoporus, C., & Rosmini, R. (2020). PKM Penerapan Teknologi Tepat Guna dalam Peningkatan Produktivitas dan Pengelolaan Hama dan Penyakit Tanaman Kakao Berbasis Kearifan Lokal. Jurnal Abditani: Jurnal Pengabdian Masyarakat, 3(1), 5–13. https://doi.org/10.31970/abditani.v2i0.37
Cristóbal-MartÃnez, A. L., de Jesús Yáñez-Morales, M., Solano-Vidal, R., Segura-León, O., & Hernández-Anguiano, A. M. (2017). Diversity of Colletotrichum species in coffee (Coffea arabica) plantations in Mexico. European Journal of Plant Pathology, 147(3), 605–614. https://doi.org/10.1007/s10658-016-1029-0
Gichuru, E., Alwora, G., Gimase, J., & Kathurima, C. (2021). Coffee Leaf Rust (Hemileia vastatrix) in Kenya—A Review. Agronomy, 11(12), 590–598. https://doi.org/10.3390/agronomy11122590
Hongsanan, S., Tian, Q., Kd, H., & Chomnunti, P. (2015). Two new species of sooty moulds , Capnodium coffeicola and Conidiocarpus plumeriae in Capnodiaceae. Mycrosphere, 6(6), 814–824. https://doi.org/10.5943/mycosphere/6/6/14
Jazilah, S. (2018). Agripreneurship di era revolusi industri 4.0. Prosiding Seminar Nasional Universitas Pekalongan, 150–154.
Kansrini, Y., Mulyani, P. W., & Febrimeli, D. (2020). Peran Penyuluh Pertanian Lapangan (PPL) dalam Mendukung Adopsi Budidaya Tanaman Kopi Arabika yang Baik (Good Agriculture Practices) Oleh Petani Di Kabupaten Tapanuli Selatan. Agrica Ekstensia, 14(1), 54–65. https://doi.org/10.55127/ae.v14i1.40
Loureiro, A., Nicole, M. R., Várzea, V., Moncada, P., Bertrand, B., & Silva, M. C. (2012). Coffee resistance to Colletotrichum kahawae is associated with lignification, accumulation of phenols and cell death at infection sites. Physiological and Molecular Plant Pathology, 77(1), 23–32. https://doi.org/10.1016/j.pmpp.2011.11.002
Muliani, S., & Nildayanti. (2018). Inventarisasi Hama dan Penyakit pada Pertanaman Kopi Organik. J. Agroplantae, 7(2), 14–19. https://doi.org/10.1016/B978-0-12-394447-4.30037-2
Pennock, D., Yates, T., & Braidek, J. (2008). Soil Sampling and Handling. In M. R. Carter & E. G. Gregorich (Eds.), Soil Sampling and Methods of Analysis: Second Edition (second, pp. 31–35). CRC Press Taylor & Francis Group. https://doi.org/10.1201/9781420005271.ch65
Permana, R. D., & Masrilurrahman, L. L. S. (2021). Identifikasi Tingkat Kerusakan Pada Tanaman Kopi Yang Di Sebabkan Oleh Hama Di Desa Karang Sidemen Kecamatan Batukliang Utara Kabupaten Lombok Tengah. Jurnal Silva Samalas, 4(1), 10–14. https://doi.org/10.33394/jss.v4i1.3943
RamÃrez-Camejo, L. A., Keith, L. M., Matsumoto, T., Sugiyama, L., Fukada, M., Brann, M., Moffitt, A., Liu, J., & Aime, M. C. (2022). Coffee Leaf Rust (Hemileia vastatrix) from the Recent Invasion into Hawaii Shares a Genotypic Relationship with Latin American Populations. Journal of Fungi, 8(2), 189–198. https://doi.org/10.3390/jof8020189
Risdawati, N., & Soemarno, S. (2021). Pengaruh Aplikasi Kompos Kulit Buah Kopi Terhadap Kandungan Bahan Organik Dan Fosfor Pada Inceptisol Kebun Kopi Desa Bangelan, Malang. Jurnal Tanah Dan Sumberdaya Lahan, 8(2), 461–469. https://doi.org/10.21776/ub.jtsl.2021.008.2.17
Souza, A. G. C., Rodrigues, F. Ã., Maffia, L. A., & Mizubuti, E. S. G. (2011). Infection process of Cercospora coffeicola on coffee leaf. Journal of Phytopathology, 159(1), 6–11. https://doi.org/10.1111/j.1439-0434.2010.01710.x
Sugiarti, L. (2019). Identifikasi Hama Dan Penyakit Pada Tanaman Kopi Di Kebun Percobaan Fakultas Pertanian Universitas Winaya Mukti. Agro Wiralodra, 2(1), 16–22. https://doi.org/10.31943/AGROWIRALODRA.V2I1.27
Susilo, A., & Wicaksono, K. S. (2023). Potensi Pengembangan Tanaman Kopi Arabika Berdasarkan Tingkat Kesesuaian Lahan Di Desa Bulukerto, Kecamatan Bumiaji, Kota Batu. Jurnal Tanah Dan Sumberdaya Lahan, 10(1), 83–95. https://doi.org/10.21776/ub.jtsl.2023.010.1.9
Teatrawan, I. A., Madyaningrana, K., & Ariestanti, C. A. (2022). Pemanfaatan Limbah Ampas Coffea canephora sebagai Pupuk Pendukung Pertumbuhan Altenanthera sissoo. Bioma: Jurnal Biologi Dan Pembelajaran Biologi, 7(1), 90–104. https://doi.org/10.32528/bioma.v7i1.5822
Vicky, J., Ayu, F., & Julianto, B. (2023). Implementasi Pendeteksi Penyakit pada Daun Alpukat Menggunakan Metode CNN. Prosiding Seminar Nasional Teknologi Dan Sains, 2, 155–162. https://proceeding.unpkediri.ac.id/index.php/stains/article/view/2888
