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159 results for “R-Trees”
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Research ArticleOpen accessIn the abstractMicrobial Diversity as a Biological Control Mechanism for Fruit Tree Diseases: A Comparative ApproachZhichao TangThe traditional methods of fruit tree pest control have long relied on chemical pesticides. This not only leads to increased resistance of pests and diseases but also adversely affects the ecological environment and fruit safety. Although biological control has gradually received attention, the current research on how to systematically use microbial diversity to achieve efficient control and prevention is still … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 8 Apr 2026 · 1,603 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning and Image Analytics for Forest Land Management: Classification, and Object DetectionDevam Dixit, Aditya Bhavsar, Shreyas Jani, Nilesh YadavRapid urbanization and industrialization have contributed to deforestation which has led to a severe degradation of the environment and biodiversity loss. Traditional field survey methods are not applicable in the monitoring of large forest areas due to the fact that such methods are manual, costly and time consuming as well as subject to human error. The current methods of remote … …Journal of Computer Science, Vol. 22, Issue 3 · 26 Mar 2026 · 1,590 accessesView PDFCite
Research ArticleOpen accessIn the abstractVirtual Teak Tree Computational Model for Envisaging the Contribution by Using Functional-Structural Plant ModellingBryan Aleron, Indra Gunawan, Ditdit Nugeraha UtamaThe teak tree (Tectona grandis) has several positive contributions to the environment quality wood raw materials, deep and strong roots to help maintain soil stability and prevent erosion and habitat for various types of animals. On the other hand, teak also has an important role in producing oxygen and rarely do people directly see the growth of teak trees from … …Journal of Computer Science, Vol. 20, Issue 8 · 19 Jun 2024 · 5,157 accessesView PDFCite
Research ArticleOpen accessIn the abstractRelationship between Laboratory Germination and Biometric Parameters of Betula jarmolenkoana Golosk. AgletsZhandos Rakymbekov, Kurmankul Abayeva, Daniyar Dosmanbetov et al.This study evaluates the relationship between laboratory germination and biometric parameters of aglets of the critically endangered birch tree species Betula jarmolenkoana Golosk (Yarmolenko birch). The Yarmolenko birch is a very rare, narrowly endemic species, growing at an altitude of 1,900-2,100 m above sea level and only in the basins of three rivers (Kakpak, Bayynkol, and Tekes) in the Almaty … …OnLine Journal of Biological Sciences, Vol. 23, Issue 1 · 1 Mar 2023 · 4,912 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessing of Soil Compaction and Relations to Soil Fertility on Different Land Used in Bintulu, SarawakAizul Azfar Zulkeefli, Md. Suzauddula, Md. Rezaul Karim et al.Assessing land uses-induced changes in soil properties from natural forests to farmland are indispensable for addressing the complications in terms of agricultural landscape sustainability. A study was conducted in Rehabilitated Forest (RF), Oil Palm (OP), Secondary Forest (SF) and Rubber Plantation (RP) at University Putra Malaysia in order to examine the results of soil densification on soil characteristics and fertility … …American Journal of Applied Sciences, Vol. 17, Issue 1 · 11 Jan 2021 · 7,428 accessesView PDFCite
Research ArticleOpen accessIn the abstractTransforming Saffron Cultivation With Smart Hydroponics: An Artificial Intelligence of Things Approach to Crops and Nutrients ManagementVivek Raj, Gregory Allen, Ananth Prabhu G., Melwin DsouzaAgriculture is changing with the aid of new technologies, particularly in several Asian countries. This research applies Artificial Intelligence (AI) and the Internet of Things (IoT) to traditional farming, particularly focusing on saffron cultivation using hydroponics. Hydroponics is especially useful as a city grows, because it not only saves space but also nourishes the plants directly through the roots - … …Journal of Computer Science, Vol. 22, Issue 7 · 28 Jul 2026 · 852 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnsemble Learning for Proactive Detection of Network-Intrusion-Based Insurance FraudBenjamin Asubam Weyori, Selorm Kofi Tagbo et al.We propose an ensemble learning pipeline that proactively integrates Stacking Feature Embedding (SFE) with Principal Component Analysis (PCA) and tree-based ensembles to proactively detect insurance fraud originating from network intrusions. The main contributions are: (1) the novel integration of SFE-PCA as a meta-feature construction step for tabular network flow data; (2) a sensitivity analysis that justifies PCA reduction ratios used … …Journal of Computer Science, Vol. 22, Issue 7 · 16 Jul 2026 · 935 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Multi Model Ensemble for Engagement PredictionFahmida Begum, K Ulaga PriyaFor intelligent educational systems, the ability to monitor and respond to student engagement in real time is essential for enhancing learning outcomes. However, existing models often lack adaptability and practical deployment potential, as they depend on single data modalities, rigid ensemble mechanisms, and post-session analysis. This study introduces an intelligent multimodal ensemble framework designed to address these challenges by predicting … …Journal of Computer Science, Vol. 22, Issue 4 · 28 Apr 2026 · 1,844 accessesView PDFCite
Research ArticleOpen accessIn the abstractUncertainty-Aware Ensemble Models for Improved Defect Detection in Noisy DataMadhavi Perla, Gadi Lava Raju, A Radha Krishna et al.Software defect prediction plays a crucial role in ensuring software quality and reliability, especially as modern systems become more complex and data rich. This study introduces an uncertainty-aware ensemble learning framework aimed at improving defect classification performance in noisy and imbalanced datasets, particularly those from the PROMISE and NASA KC1 repositories. The proposed model integrates multiple classifiers in a multi-learner … …Journal of Computer Science, Vol. 22, Issue 4 · 27 Apr 2026 · 1,542 accessesView PDFCite
Research ArticleOpen accessIn the abstractBiodiversity and Spatial Distribution of Hornbills in Pondok Buluh Educational Forest, North Sumatra, IndonesiaBudi Utomo, Nabillah Saraswita, Cindy Siahaan et al.Hornbills are large birds, several species of which are protected under national and international conservation legislation and face significant extinction risk. This study was conducted in the Specific Purposes Pondok Buluh Forest Area, North Sumatra, Indonesia, with the aim of identifying hornbill species present, estimating their population density, and characterizing their habitat. Hornbill surveys were carried out using the point … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 28 Mar 2026 · 1,405 accessesView PDFCite