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All Journal Jurnal Dinamika Pengabdian (JDP) Jurnal Agritechno
Ahmad Fauzan Adzima
Hasanuddin University
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Engineering Environmental Science

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PENGGUNAAN PESAWAT TANPA AWAK (DRONE) DALAM MELAKUKAN PEMANTAUAN DAN IDENTIFIKASI OTOMATIS PADA PERTANAMAN JAGUNG DI KELOMPOK TANI PATTAROWANGTA, KABUPATEN TAKALAR Muhammad Farid BDR; Ifayanti Ridwan; Ahmad Fauzan Adzima; Muhammad Fuad Anshori
Jurnal Dinamika Pengabdian (JDP) Vol. 7 No. 1 (2021): JURNAL DINAMIKA PENGABDIAN VOL. 7 NO. 1 OKTOBER 2021
Publisher : Departemen Budidaya Pertanian Fakultas Pertanian UNHAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/jdp.v7i1.18536

Abstract

Teknologi budidaya tanaman pada era 4.0 membutuhkan konsep pertanian cerdas untuk meningkatkan efisiensi dan efektivitas budidaya tanaman. Salah satu teknologi pertanian cerdas dalam bidang pertanian adalah penggunaan pesawat tanpa awak atau drone. Teknologi ini dapat menjawab permasalahan terkait evaluasi budidaya pertanaman, sehingga pengabdian teknologi ini kepada petani menjadi terobosan baru dalam memajukan kesejahtera petani. Metode penelitian ini memggunakan  demonstrasi langsung dilapangan, tepatnya pada kelompok Tani Pattarowangta, Galesong Selatan, Kabupaten Takalar. Hasil penelitian ini menunjukkan bahwa Penggunaan teknologi untuk bidang pertanian seperti UAV diyakini bisa memberi banyak keuntungan kepada pelaku industri pertanian, terkhusus kepada petani. Proses pemantauan dan deteksi dini serangan hama, penyakit, kekurangan nutrisi, hingga prediksi waktu dan hasil panen menggunakan pesawat tanpa awak atau drone telah menjadi terobosan baru dibidang pertanian. Oleh sebab itu teknolohgi ini direkomendasikan dalam menentukan keputusan atau kebijakan yang tepat dalam mengelola suatu sumbedaya lahan. Kata kunci: Pesawat tanpa awak, pertanian cerdas, pemantauan, Jagung. ABSTRACT Plant cultivation technology in the 4.0 era requires smart farming concepts to increase the efficiency and effectiveness of plant cultivation. One of the smart farming technologies in agriculture is the use of unmanned aerial vehicles (UAV). This technology can answer problems related to the evaluation of crop cultivation so that the service of this technology to farmers is a breakthrough in advancing the welfare of farmers. This research method uses direct demonstration in the field, precisely in the Pattarowangta farmer group, South Galesong, Takalar Regency. The results of this study indicate that the use of technology for agriculture such as UAV is believed to be able to provide many benefits to agricultural industry players, especially to farmers. The process of monitoring and early detection of pests, diseases, nutritional deficiencies, to predict harvest time and yields using unmanned aerial vehicles has become a breakthrough in agriculture. Therefore, this technology is recommended in determining the right decisions or policies in managing a land resource. Keywords: Unmanned aerial vehicles, smart agriculture, monitoring, Zea mays.
Drone-Based Vegetation Index Analysis to Estimated Nitrogen Content on The Rice Plantations Ahmad Fauzan Adzima; Risma Neswati; Sartika Laban; Muh Jayadi; Muhammad Fuad Anshori; Husnul Mubarak; Eva Noviyanti; Nur Qalbi Zaesar Muharram; Andi Dharmawan Mallarangen
Jurnal Agritechno Jurnal Agritechno Vol. 15, Nomor 2, Oktober 2022
Publisher : Depertemen Teknologi Pertanian Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/at.vi.928

Abstract

Nitrogen (N) is one of the essential nutrients needed for the growth of rice plants. Therefore, N fertilizing must be applied efficiently to achieve optimal results. Various methods have been used to calculate the N content in rice plants, such as tissue analysis and the use of Soil Plant Analysis Development (SPAD) technology. This technology still has lack of time efficiency. Other technologies are needed to quickly support precise agricultural analysis, such as Unmanned Aerial Vehicles (UAV). This study aimed to analyze the N content of rice crop using the UAV-based vegetation index and to compare the measurement of N content accuracy between SPAD chlorophyll and rice plant vegetation index. This study used survey methods and laboratory tests based on several approaches, namely analysis of photosynthesis physiology, leaves tissue analysis, and vegetation index using UAV. Based on the research results, it was found that the Normalized Difference Vegetation Index value had a strong correlation with N content of leaves tissue ​​and SPAD chlorophyll. While the results of the accuracy test, the results of chlorophyll with SPAD (CI A) have better accuracy than the NDVI vegetation index. The r value between CI A – N leaves and NDVI – N leaves did not show a significant difference. In addition, the correlation results show that N content of leaves (r=0.83), CI A (r=0.88), CI B (r=81), and CI TOT (r=0.87) have a very high correlation with NDVI. This shows a unidirectional relationship between variables so that the NDVI variable can be used as a consideration to determine chlorophyll in the plants studied.
Co-Authors Andi Dharmawan Mallarangen Eva Noviyanti Husnul Mubarak Ifayanti Ridwan Laban, Sartika Muh. Jayadi Muhammad Farid BDR Muhammad Fuad Anshori Muhammad Fuad Anshori Nur Qalbi Zaesar Muharram Risma Neswati, Risma