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Research ArticleOpen accessEvery word in the titleCollection and Processing of Medicinal Raw Materials from Some Rare Plants in the Forest-Steppe Zone of Northern KazakhstanMarat Tynykulov, Svetlana Derbush, Marina Kuznetsova et al.Rare endemic plants of the forest-steppe zone of Northern Kazakhstan, including Adonis vernalis, Adonis wolgensis, Pulsatilla patens, and Pulsatilla multifida, represent valuable medicinal resources whose sustainable utilization requires optimized harvesting, processing, and conservation strategies. This study evaluated the effects of drying conditions, environmental factors, extraction techniques, and biotechnological approaches on the yield and quality of bioactive compounds from these species. … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 1 Apr 2026 · 1,595 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEffect of Plant-Based Whole Milk Substitute on Calves' Growth RateKulbaram Bayazitova, Ayaz Ramazanov, Tleubergen Bayazitov et al.One of the tasks of animal husbandry is the development of methods for rearing young animals to obtain healthy calves with specified indicators of productivity and early insemination. The purpose of the study is to evaluate the effect of a plant based whole milk substitute on the growth rate of calves. For the study, three groups of calves of eight … …OnLine Journal of Biological Sciences, Vol. 23, Issue 2 · 21 Apr 2023 · 5,171 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Backward Regressed Capsule Neural Network for Plant Leaf Disease DetectionJennifer Jepkoech, Benson Kipkemboi Kenduiywo, David Muchangi Mugo, Edna Chebet ToolThis study investigated the introduction ofbackward regression coupled with DenseNet features in a Capsule Neural Network(CapsNet) for plant leaf disease classification. Plant diseases are consideredone of the main factors influencing food production and therefore fast cropdisease detection and recognition are important in enhancing food securityinterventions. CapsNets have successfully been adopted for plant leaf diseaseclassification however, backpropagation of signals to preceding … …Journal of Computer Science, Vol. 18, Issue 9 · 8 Sep 2022 · 5,718 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePlant Computational Modelling of Green Amaranth Plant for Investment Analyst using FSPM-GroIMP and Fuzzy LogicBakti Amirul Jabar, Ditdit Nugeraha UtamaFunctional-Structural Plant Modelling (FSPM) isplant modeling that considers morphology, physiology, and statistical data. Oneof the software for FSPM is the Growth-Grammar Interactive Modelling Platform (GroIMP).GroIMP is a Java-based platform using the XL language, which is a languagedeveloped from System-L. This study aims to build a virtual plant model ofgreen amaranth (Amaranthus Sp.) in a hydroponic planting systemfor strategic decision-making. In … …Journal of Computer Science, Vol. 18, Issue 8 · 4 Aug 2022 · 5,993 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSurvey and Distribution of Plant Parasitic Nematodes on Tomato at Baruasagar in Jhansi (India)Abha Sachan, Rajesh Kumar Pandey, Shailendra Kumar et al.Tomato (Lycopersicon esculentum) is an important high-value vegetable crop and acts as a natural medicine that alleviates the risk of a condition such as cancer and cardiovascular disease. Plant parasitic nematodes are obligate biotrophic feeders that cause the most devastating phytoeconomic damage to tomato cultivation across the globe. Their infection may lead to a spectrum of disorders like stunting, necrosis … …American Journal of Agricultural and Biological Sciences, Vol. 18, Issue 1 · 10 Jan 2024 · 6,816 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEffects of Root Rot in Soybean Cultivars with Diverse Susceptibility to the Disease on Plant Physiology, Yield, Amino Acids and Mycotoxins Profile in Climatic Conditions of KazakhstanNurlan Kuldybayev, Yerlan Dutbayev, Bozena Lozowicka et al.Soybean is an important high-value crop but susceptible to soil-borne diseases. A field trial was conducted in Kazakhstan to evaluate the effects of soybean cultivars and Fusarium root rot severity on soybean crop physiology, chlorophyll fractions and amino acids profile. The highest yield was achieved in 2018 (up to 4 t ha-1) for K-9648 cultivar. The greatest root rot severity … …OnLine Journal of Biological Sciences, Vol. 21, Issue 4 · 27 Dec 2021 · 6,299 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleMedicinal Plant Identification using Gabor Filters and Deep Learning Techniques: A Paper ReviewStephen Opoku Oppong, Frimpong Twum, James Ben Hayfron-Acquah, Yaw Marfo MissahComputer-aided identification of plants is a branch of machine learning that has become more recognized recently and proves itself as a vital tool in numerous sectors including pharmacological science, forestry and agriculture. This has essentially generated a zeal in creating automated systems for the identification of diverse species of plants. This study reviewed plant species classification relying on leaf textural … …Journal of Computer Science, Vol. 17, Issue 12 · 24 Dec 2021 · 7,821 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Weighted Voting Deep Learning Approach for Plant Disease ClassificationAssia Ennouni, Noura Ouled Sihamman, My Abdelouahed Sabri, Abdellah AarabPlant destruction is usually caused by plant diseases. Without early and reliable detection, it can affect the plants and may eventually cause permanent losses, especially for inexperienced farmers. Therefore, intelligence in agriculture is becoming more and more required. Thereafter early diagnosis and classification are crucial and a very challenging research field in the agriculture sector for its treatment. In this … …Journal of Computer Science, Vol. 17, Issue 12 · 16 Dec 2021 · 6,557 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleLeafsnapNet: An Experimentally Evolved Deep Learning Model for Recognition of Plant Species based on Leafsnap Image DatasetEmmanuel Adetiba et al.Plants are very important living organisms on earth because humans and animals depend on them for nutrition, oxygen, medicine and balance in the ecosystem. Therefore, plant species recognition is critical to the improvement of agricultural productivity, mitigation of climate change and the discovery of new medicinal plants. However, species recognition has remained a difficult task even for trained botanists, because … …Journal of Computer Science, Vol. 17, Issue 3 · 1 Apr 2021 · 7,956 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDataset of Selected Medicinal Plant Species of the Genus Brachylaena: A Comparative Application of Deep Learning Models for Plant Leaf RecognitionAvuya Deyi, Arnaud Nguembang Fadja, Eleonora Deborah Goosen et al.Since several active pharmaceutical ingredients are sourced from medicinal plants, identifying and classifying these plants are generally a valuable and essential task during the drug manufacturing process. For many years, identifying and classifying those plants have been exclusively done by experts in the domain, such as botanists and herbarium curators. Recently, powerful computer vision technologies, using deep learning or deep … …Journal of Computer Science, Vol. 19, Issue 11 · 17 Oct 2023 · 6,219 accessesView PDFCite