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Research ArticleOpen accessIn the abstractEvaluation and Selection of Kushum Horses and their Dairy and Meat Productivity by Economic and Useful TraitsAkimbekov Amin, Otebayev Zhassulan, Kurmangali Lailim et al.The research conducted a comprehensive evaluation of the Kushum horse breed based on economically valuable traits, including dairy and meat productivity, with the aim of selecting the most promising animals for further breeding. The research was conducted at two farms in Kazakhstan ("Bereke" and Kulunshak") in 2022-2025. 1084 individual horses were researched, including groups of horses of different intra-breed types. … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 2 Jul 2026 · 1,080 accessesView PDFCite
Research ArticleOpen accessIn the abstractInfluence of Drought Stress on Growth and Yield of Soybean (Glycine max L.) Genotypes in Northern GhanaIsaac Kwahene Addai, Alhassan Bawa, Maganoba CharlesStudies on induced mutation were conducted and the results indicated that stable, but desirable soybean mutant genotypes with improved agronomic traits have been produced. A series of evaluations of these mutant genotypes had earlier on been carried out and high-yielding ones such as 150, 200, 250, and 300 Gy have been identified. In the present study, the above genotypes were … …American Journal of Agricultural and Biological Sciences, Vol. 18, Issue 1 · 1 Jun 2023 · 6,780 accessesView PDFCite
Review ArticleOpen accessIn the abstractComparative Analysis of Classical Feature Detection Methods for UAV-Based Tomato DetectionMuhammad Sarwar Jahan Morshed, Md. Nasim Adnan, Md. Rafiqul IslamRemote sensing technologies, especially Unmanned Aerial Vehicles (UAVs), become crucial for Precision Agriculture (PA) to perform different tasks such as crop detection, yield prediction, leaf disease diagnosis, weed detection, and harvest forecasting to ensure higher productivity. Therefore, using various image analytics methods feature detection from the UAV-captured images plays a vital role for conducting these PA tasks. To enhance the … …Journal of Computer Science, Vol. 21, Issue 9 · 7 Nov 2025 · 2,413 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmart Weather Data Management System for Sustainable Agriculture in Maharashtra Using Machine LearningAishwarya V. Kadu, Kuraparthi Tirumala V. ReddyAgriculture will benefit greatly from efficient weather data sustainable management. Data can be utilized to schedule the prediction yield, crop growth, and irrigation. This paper collects real-time meteorological station data via APIs, primarily focusing on the weather data sustainable management system and data related to Maharashtra Wardha, India, which is involved in a live series period. Agriculture can make potential … …Journal of Computer Science, Vol. 21, Issue 7 · 7 Jul 2025 · 3,516 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Greater dose of Ractopamine Hydrochloride Enhances Feedlot Performance and Impacts Carcass Characteristics of Calf-Fed Holstein SteersJerilyn E. Hergenreder, Jonathon L. Beckett, Zachary K. Smith, Bradley J. JohnsonThe objective was to evaluate the effects of supplementing ractopamine HCl at the rate of 400 mg steer1 daily in the final 28 d of the feeding period on growth performance and carcass characteristics of Holstein steers. Steers (n = 1,498; initial BW = 547 kg) were randomly assigned to pens (10 pens/treatment) and to a treatment: (1) 0 mg∙steer1∙d1 … …American Journal of Animal and Veterinary Sciences, Vol. 16, Issue 1 · 24 Mar 2021 · 6,836 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntroduction of the Pasture Plant Fescue (Festuca valesiaca) for the Improvement of Degraded Pastures in the Steppe Zone of KazakhstanMeldebekova Nurgul Alikhanovna, Seitbattalova Ainur Islamovna, Ainebekova Bakyt Alpysbaevna et al.This study presents the results of a comprehensive evaluation of Festuca valesiaca, a dominant perennial grass species widely used in steppe ecosystems for pasture improvement. Previous research has demonstrated the importance of native fescue species in enhancing productivity and resilience of degraded rangelands under arid conditions. However, breeding efforts for this species in Kazakhstan remain insufficiently developed. The research was … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 14 Sep 2026 · 667 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutoencoder-Based Intrusion Detection for ARP Poisoning in SDN ControllersKago Seemela, Banyatsang Mphago, Thabo Semong, Phephisa MethulaAddress Resolution Protocol (ARP) poisoning is still a critical control plane attack in Software Defined Networks (SDNs), and spoofing of ARP mappings can trick SDNs controller and accomplish man in the middle, eavesdropping and denial of service attacks. Current SDN intrusion detection systems of ARP attacks rely on supervised learning and labelled attack data which is rather expensive and not … …Journal of Computer Science, Vol. 22, Issue 7 · 21 Jul 2026 · 875 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimizing Boar Epididymal Sperm Preservation: Comparative Analysis of Slicing Float-Up vs. Flushing and BTS vs. Andromed® Extenders on Sperm Motility and Morphometry TraitsMamonene Angelinah Thema, Ntuthuko Raphael Mkhize, Gerhard van der Horst et al.Epididymal sperm collection represents a valuable strategy for preserving genetics from deceased or castrated boars of superior breeding value. The two primary collection methods-slicing float-up (high sperm yield) and flushing (low blood contamination risk)-differ in sperm recovery efficiency, while semen extenders provide cryoprotective nutrients that protect against cold shock during preservation. This study compared the effects of slicing float-up versus … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 4 · 14 Mar 2026 · 1,800 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Deep Learning Approach for Tomato Leaf Disease Detection Using Optimized CNN ArchitectureSunil K. Vithalani, Vipul K. DabhiEarly disease detection in plants is essential for sustaining agricultural yield and guaranteeing food security. A comparative analysis of transformer-based and convolutional based deep learning models for classifying tomato leaf diseases is presented. Specifically, it examines the performance of a Vision Transformer (ViT), tested both in a form of scratch training setup and through transfer learning, against well-known CNN architectures … …Journal of Computer Science, Vol. 22, Issue 1 · 7 Feb 2026 · 3,924 accessesView PDFCite
Research ArticleOpen accessIn the abstractSuppression of Bipolaris Leaf Blotch and Improvement of Wheat Growth by Plant Growth Promoting Rhizobacteria BacilliFarzana Zerin Eivy, Md. Tanbir Rubayet, Umakanta Sarkar, Md. Motaher HossainBipolaris leaf blotch, induced by Bipolaris sorokiniana, poses a notable risk to wheat cultivation, resulting in considerable annual declines in yield. Plant Growth-Promoting Rhizobacteria (PGPR) are acknowledged for their colonization of the wheat rhizosphere and provision of various advantages to plants, including disease control and improved growth. This investigation seeks to explore the feasibility of utilizing PGPR strains as a … …OnLine Journal of Biological Sciences, Vol. 24, Issue 3 · 12 Mar 2024 · 6,643 accessesView PDFCite