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Tinjauan Teoretis Pemanfaatan Teknologi Drone Dalam Pemantauan Kesehatan Tanaman Pada Pertanian Presisi Parwito, Parwito; Lalan Darham Daulay; Eko Sumartono; Hendri Bustamam; Ismail Arifin
SINTA Journal (Science, Technology, and Agricultural) Vol. 6 No. 2 (2025)
Publisher : Perkumpulan Dosen Muda (PDM) Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37638/sinta.6.2.401-414

Abstract

Precision agriculture is a modern approach that integrates information technology to improve productivity and efficiency in the agricultural sector. Drone technology, or unmanned aerial vehicles, has become an essential tool for real-time plant health monitoring with high accuracy. This study aims to theoretically analyze the utilization of drone technology in plant health monitoring within precision agriculture systems. The method used is a literature review, analyzing various scientific publications related to drone applications, multispectral sensors, image processing, and plant health data interpretation. The analysis results indicate that drone technology equipped with multispectral and hyperspectral sensors can detect plant stress, nutrient deficiencies, pest and disease outbreaks at early stages with an accuracy of 85-95 percent. Data processing using machine learning algorithms and vegetation indices such as NDVI, NDRE, and GNDVI provides precise spatial information for decision-making. The implementation of this technology can improve agricultural input efficiency by up to 30 percent and crop yield productivity by up to 20 percent. The conclusion of this study is that drone technology holds significant potential in transforming agricultural practices towards more precise, sustainable, and productive systems.
Keragaan Morfologi Salak (Salacca zalacca (Gaertn.) Voss) Di Provinsi Bengkulu Lalan Darham Daulay; Rustikawati; Catur Herison
Jurnal Agroqua: Media Informasi Agronomi dan Budidaya Perairan Vol 24 No 1 (2026): Jurnal Agroqua
Publisher : University of Prof. Dr. Hazairin, SH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32663/ja.v24i1.5488

Abstract

Snake fruit (Salacca zalacca (Gaertn) is a tropical fruit crop that is widely favored by consumers and possesses high economic value. To increase snake fruit production in Bengkulu Province, plant breeding efforts are required to develop superior, location-specific cultivars. Morphological characterization is essential for identifying genotype characteristics that can serve as plant descriptors and facilitate the selection of desirable traits. This study aimed to evaluate the genetic diversity and morphological performance of snake fruit genotypes in Bengkulu Province, Indonesia. Twelve snake fruit genotypes were observed, namely Bali, Pondoh, Condet, Sinase, Lumut, Manggis, Gula Pasir, Hutan, Gading, Manon Jaya, Madu, and Banjarnegara. A total of 27 morphological characters were evaluated. Quantitative data were analyzed using the Student’s t-test. The results revealed considerable morphological variation among the evaluated genotypes. Based on fruit cluster yield components, including the number of fruits per cluster and the number of clusters per plant, genotypes S7 (Gula Pasir) and S8 (Hutan) showed the greatest potential for high economic value. Meanwhile, genotype S6 (Manggis) exhibited superior fruit quality traits, including fruit flesh weight, edible portion, and flesh thickness. These findings indicate the existence of substantial genetic variability among snake fruit genotypes in Bengkulu and provide valuable information for future breeding and selection programs aimed at developing high-yielding and superior-quality cultivars.