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The Potential Application of IoT and Multispectral UAV Soil Sensor Technology in Sorgum (Sorgum bicolor L. Moench) Cultivation in Dry Land in Pujut District, Central Lombok Regency Ardi Yoga Pramesthi; Auliya Safitri; Misbahuddin Misbahuddin; Muhammad Husni Idris
Jurnal Biologi Tropis Vol. 26 No. 2 (2026): April - Juni
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v26i2.11867

Abstract

Sorghum (Sorghum bicolor L. Moench) is a drought-tolerant crop with significant potential for dryland cultivation in Pujut District, Central Lombok Regency, Indonesia. This study reviews the potential application of Internet of Things (IoT) and multispectral Unmanned Aerial Vehicle (UAV) technologies for precision sorghum cultivation in dryland ecosystems. A qualitative descriptive literature review was conducted, synthesizing 13 peer-reviewed studies on IoT sensor networks, UAV-based remote sensing, machine learning algorithms, and their integration in precision agriculture. The results indicate that IoT soil sensors can continuously monitor soil moisture, temperature, pH, and nutrient levels in Vertisol soils, while multispectral UAVs capture vegetation indices (NDVI, NDRE, CWSI) for biomass estimation, drought stress assessment, and yield prediction. The integration of both technologies, combined with machine learning approaches including ensemble learning and transfer learning, produces comprehensive crop health maps and site-specific management recommendations. The dryland characteristics of Pujut District, with Vertisol soils (pH 6.5–8.4) and limited water availability, are highly suitable for sorghum cultivation and would benefit substantially from precision agriculture interventions. A five-stage implementation framework is proposed, encompassing baseline survey, monitoring, analytics, precision management, and evaluation. Despite challenges including initial investment costs and technical capacity requirements, the long-term benefits of improved productivity and resource efficiency make IoT-UAV integration a viable strategy for sustainable dryland sorghum farming.
The Role of Banana Corm Local Microorganisms and Irrigation Frequency in Improving Pakcoy Growth under Verticulture Condition Ardi Yoga Pramesthi; A. A. Sudharmawan; Taufik Fauzi
Jurnal Biologi Tropis Vol. 26 No. 3 (2026): Juli - September
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v26i3.12580

Abstract

Urban agriculture and verticulture systems have gained increasing attention as strategies to enhance food production in areas with limited land availability. Among leafy vegetables, pakcoy (Brassica rapa L.) is widely cultivated due to its short growth cycle and high market demand. This review examines the potential of banana corm-derived local microorganisms (MOL) and adaptive watering intervals as complementary approaches to improve pakcoy production in verticulture systems. A descriptive literature review was conducted by synthesizing studies related to banana corm MOL, liquid organic fertilizers, irrigation frequency, pakcoy growth, and verticulture-based cultivation. The reviewed literature indicates that banana corm MOL can enhance nutrient availability, stimulate microbial activity, and promote vegetative growth, leading to increased fresh biomass production. Watering frequency was also identified as a key factor influencing plant growth, nutrient uptake, and moisture availability within the restricted rooting environment typical of verticulture systems. The available evidence suggests that interactions between MOL application and watering management may affect pakcoy performance through their combin