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Performance of Convolutional Neural Network for Classifying Soil Moisture Level based on In-Situ RGB Soil Surface Images
Oleh: Suud, Hasbi Mubarak, Budiman, Subhan Arif, Kuntadi, Ebban Bagus
Computer vision offers a promising method for soil moisture assessment especially for real-time field monitoring where sensor-based measurements are limited. This study evaluates the performance of a traditional Convolutional Neural Network (CNN) and ResNet-50 architecture for classifying soil moist...
Penerbit: The University of Lampung • Publikasi: 17 April 2026
Synergistic Effects of Farmyard Manure and NPK (17-17-17) Fertilizer on Growth and Yield of Irish Potato (Solanum tuberosum L.) in Northern Rwanda
Oleh: Alphonse, Niyigena, Joseline, Iradukunda
This study evaluated the effect of inorganic fertilizers (NPK 17-17-17) and farmyard manure (FYM) at different doses on the agronomic performance of Irish potato in Busogo sector, Northern Rwanda. A field experiment was conducted during season A (January-April 2025) at UR-CAVM model farm using a ran...
Penerbit: The University of Lampung • Publikasi: 17 April 2026
Adoption of Integrated Crop Management Technology Innovation and Sustainable Lowland Rice Development Strategy in Tasikmalaya Regency, West Java Province
Oleh: Mutolib, Abdul, Nuraini, Candra, Ilmiati, Kirana Nur
Adoption of Integrated Crop Management (ICM) technology affects both productivity and the sustainability of farming practices. This study aims to analyze the level of ICM adoption, identify influencing factors, and formulate strategies for sustainable rice cultivation. The research employed a quanti...
Penerbit: The University of Lampung • Publikasi: 17 April 2026
Assessment of Flood Discharge Using the HSS SCS–CN Method and Implications for Adaptive Sabo Dam Design in the Saluki River
Oleh: Setyoasri, Yosephina Puspa, Natakusumah, Dantje Kardana, Febriyani, Vika
In 2018, the Saluki River was morphologically altered due to 7.4 magnitude earthquake. The changes necessitated an evaluation of post-earthquake hydrological conditions prior to Sabo Dam planning. This study aims to estimate the design flood discharge and assess its implications for the preliminary ...
Penerbit: The University of Lampung • Publikasi: 17 April 2026
Design and Implementation of an Artificial Neural Network Model for Soil Nitrogen Prediction
Oleh: Anggraini, Rita, Sulistiyanti, Sri Ratna, Fitriawan, Helmy
The availability of nitrogen in soil is a crucial factor determining crop productivity. However, the measurement of total nitrogen (N-total) content requires considerable time and cost. Therefore, a fast, accurate, and easy prediction method is needed to support the agricultural development. This st...
Penerbit: The University of Lampung • Publikasi: 17 April 2026
Assessing the Impact of Land Cover Change on Peak Discharge Using HEC-HMS: Case Study of the Batang Timpeh Watershed, Indonesia
Oleh: Irwansyah, Deddy, Soekarno, Indratmo, Mertawiasa, I Nyoman Yogi
Recent deforestation driven by illegal logging, forest fires, and land conversion for oil palm plantations has significantly altered land cover conditions; however, its quantitative impact on peak discharge in the downstream Batang Timpeh Watershed remains poorly understood. This study aims to asses...
Penerbit: The University of Lampung • Publikasi: 17 April 2026
Image-Based Classification of Robusta Coffee Roasting Degree Using LDA–KNN with Color and Shape Features
Oleh: Ritonga, Desi Kris Tanti, Ahmad, Usman, Mardjan, Sutrisno Suro
The determination of robusta coffee roast levels is commonly conducted through visual assessment, which is inherently subjective and prone to inconsistency due to overlapping visual characteristics between adjacent roasting stages. On the other side, objective measurement equipment is often costly a...
Penerbit: The University of Lampung • Publikasi: 17 April 2026
Performance Evaluation of a Modified Granulator Based on Operating Parameters for Bioherbicide Granule Production
Oleh: Pramuhadi, Gatot, Chozin, Muhamad Achmad, Gunawan, Endang
Bioherbicide granules is a new innovation in weed control produced using a granulator machine. This study aimed to evaluate the performance of a modified pan granulator prototype intended for bioherbicide granule production. Wheat flour and tapioca flour were used as starch-based substitute material...
Penerbit: The University of Lampung • Publikasi: 17 April 2026
Enhancing Morphological and Physiological Sugarcane Growth through Natural Plant Growth Regulators Made of Banana Weevil
Oleh: Pamungkas, Saktiyono Sigit Tri, Yulianto, Karisma Ridha, Sukmawati, Fitria Nugraheni
Natural plant growth regulators (NPGR) have a significant impact on plant growth, particularly on plant morphological and physiological characteristics. The aim of this study was to examine the effects of immersion duration with banana weevil NPGR on the physiological and morphological traits of bud...
Penerbit: The University of Lampung • Publikasi: 17 April 2026
Flood Discharge Modeling through Hydrological Parameter Calibration Using HEC-HMS in the Lower Air Bengkulu River
Oleh: Susetyo, Ekanto Wahyudi, Kardhana, Hadi, Hartawan, I Putu
The Air Bengkulu River experiences flooding at least twice a year due to increased discharge during the rainy season. This study aims to calibrate hydrological model parameters based on daily rainfall data for the flood event of 30 August 2022 using HEC-HMS modeling to obtain a best design for flood...
Penerbit: The University of Lampung • Publikasi: 17 April 2026