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147 results for “Crop Yield”
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Research ArticleOpen accessIn the abstractGrowth Performance and Yield of Brassica rapa Var. Chinensis with Takakura and Conventional CompostKiew Vincent Wei Shuen, Mohd Effendi WasliComposted organic waste from food and plants is great for enhancing crop productivity and agricultural sustainability. However, the different composting methods produced by compost with home-based waste applied to growing media for crop growth remain a topic to discuss. Thus, the aim of this study is to evaluate the growth performance and yield of Brassica rapa var. chinensis (B. rapa) … …OnLine Journal of Biological Sciences, Vol. 24, Issue 3 · 24 Feb 2024 · 7,864 accessesView PDFCite
Review ArticleOpen accessIn the abstractAdvances in Modern Biotechnological Tools for Sustainable Control of Plant Viral DiseasesNabela Akter, Ankita Saha, Md. Abdullah Al Sabbir, Md. Motaher HossainPlant viruses pose a major threat to global food production, causing yield losses across many staple and horticultural crops. Conventional breeding for resistance is typically slow and constrained by the number of available natural resistance genes. Recent breakthroughs in biotechnology have enabled the development of accurate, flexible, and environmentally friendly technologies to confer virus resistance. This review summarizes exciting developments … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 16 Jul 2026 · 726 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Bokashi and Water Deficiency on the Growth of Kailan (Brassica Oleracea Var. Acephala) in East Nusa Tenggara, IndonesiaLaurensius Lehar, Suryawati, Tri Luchi Proklamita et al.Water scarcity poses a critical challenge to vegetable production in semi-arid regions such as East Nusa Tenggara, Indonesia, where sustainable soil amendment strategies are essential for maintaining crop productivity. This study investigated the interaction between water stress and coconut coir charcoal bokashi application on the growth and yield of kailan (Brassica oleracea var. alboglabra). The experiment was conducted at the … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 31 Mar 2026 · 1,263 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized YOLOv8 for Insect Detection in Agricultural Farms Using Edge Vision SystemsDeebalakshmi R., Adhithyaa S., Yoga Vignesh V., Balaji Ganesh RajagopalFarmers started to adopt smart gadgets like automated pest detection and kiosks for their work in light of the AI revolution in agriculture. These kinds of technologies help farmers identify pest infestations early, which allows the farmers to take action accordingly and prevent crop loss. This results in improvement in both yield and sustainability. However, running an advanced model such … …Journal of Computer Science, Vol. 21, Issue 11 · 28 Jan 2026 · 2,640 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment and Implementation of Effective Schemes for the Use of Mineral Fertilizers in the Forest-Steppe Zone of the North Kazakhstan RegionZh. A. Nokusheva, E. Ye. Kantarbayeva, M. B. Ormanbetov et al.Nitrogen fertilizers in liquid form have become the most common ones in recent years. Since North Kazakhstan is located in a zone of risky farming, liquid fertilizers are a very productive solution. The purpose of the study was to develop and evaluate the implementation of effective schemes for the use of mineral fertilizers in the forest-steppe zone of the North … …OnLine Journal of Biological Sciences, Vol. 23, Issue 3 · 5 Jun 2023 · 5,297 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Behavior of Valencia Orange Cultivation (Citrus x sinensis (L) Osbeck cv. Valencia) in "Type Farms" in a Province in Central Jungle of PeruWilfredo Ruiz-Camacho, Danny Villegas-Rivas, Ricardo Borjas-Ventura et al.The objective of research was to evaluate behavior of Valencia orange crops in "type farms" in the province of Chanchamayo, Junín, Peru. This research was carried out with the aim of knowing the behavior of Valencia orange crops in "type farms" in the province of Chanchamayo, Junín, Peru. The study was carried out in Chanchamayo, Junin Region, between January and … …OnLine Journal of Biological Sciences, Vol. 23, Issue 3 · 31 May 2023 · 5,896 accessesView PDFCite
Research ArticleOpen accessIn the abstractInfluence of Mineral Fertilizers and Methods of Basic Tillage on the Yield and Oil Content of SunflowerBeybit Nasiyev, Aida DukeyevaThe purpose of the study was to evaluate the influence of mineral fertilizers and methods of basic tillage on the yield and oil content of sunflowers in the north of Kazakhstan. The experiment was conducted in the agricultural experimental Station Zarechnoye limited liability partnership with southern thin chernozem soils. Records and observations of the growth and development of sunflowers were … …OnLine Journal of Biological Sciences, Vol. 23, Issue 3 · 23 May 2023 · 5,254 accessesView PDFCite
Research ArticleOpen accessIn the abstractProductive Traits and Reproductive Capacity of First-Calf Cows at Different Selection OptionsAnuarbek Temirbekovich Bissembayev, Dastanbek Asylbekovich Baimukanov, Orest Antipovich Bassonov et al.The research work is aimed at determining and establishing the degree of influence of various selection options on the productive and reproductive qualities of the first-calf cows of the black-and-white breed. The research results showed that according to the Parental Index of Cows (PIC), animals of the 5th experimental group surpass their mates in the 2 and 3 groups in … …OnLine Journal of Biological Sciences, Vol. 23, Issue 2 · 10 Mar 2023 · 4,737 accessesView PDFCite
Research ArticleOpen accessIn the abstractInternet of Things and Human Neocortex Inspired Algorithms for the Plant Disease Prediction-Sheath Blight for Paddy PlantThangaraj Ethilu, K. Parthiban, Arockia Jayadhas S et al.Sheath blight disease (Rhizoctonia solani) poses a critical threat to paddy (Oryza sativa) production, causing up to 50% yield losses under conducive environmental conditions. Existing computer vision-based disease detection systems identify infections only after symptom manifestation, while conventional machine learning prediction models suffer from high computational demands, data preprocessing requirements, and noise sensitivity. This research proposes a novel Hierarchical Temporal … …Journal of Computer Science, Vol. 21, Issue 11 · 18 Dec 2025 · 1,772 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 · 2,404 accessesView PDFCite