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163 results for “agricultural development”
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Research ArticleOpen accessIn the abstractImplementation and Performance Evaluation of YOLOv8 for Wheat Fungal Disease DetectionShivani Sood, Shallu Duggal, Monika Sethi et al.Among the many difficulties in producing wheat, a vital food source for the world, there are biotic variables like fungal diseases, which drastically lower crop output. Around the world, biotrophic fungi particularly, leaf rust, powdery mildew, and yellow rusts-have become a constant threat to wheat production. Traditional methods of identification and mitigation are labor-intensive, slow, and imprecise, limiting therefore early … …Journal of Computer Science, Vol. 22, Issue 4 · 2 May 2026 · 1,609 accessesView PDFCite
Research ArticleOpen accessIn the abstractTime Series Analysis for Predicting Tea Harvest Yield: A SARIMAX-Based ApproachPallavi Nagpal, Deepika Chaudhary, Jaiteg SinghPrecise prediction of tea yield is crucial for both agricultural planning and economic forecasting. Projection of the future trends, which rely on present and historical data, is the process termed 'forecasting'. Yield prediction is fundamental for research and development. By gathering the yield data over historic times, the researchers can make their work more valuable by predicting the yield patterns. … …Journal of Computer Science, Vol. 22, Issue 2 · 19 Feb 2026 · 1,900 accessesView PDFCite
Review ArticleOpen accessIn the abstractEfficiency and Sustainability of Alternative Protein Sources for Livestock Production in Sub-Saharan Africa: A Systematic Review and Meta-AnalysisOlusegun Oyebade Ikusika, Bulo Luvuyo, Jaja Ishmeal FestusSub-Saharan Africa (SSA) faces growing challenges in sustainable livestock production due to high costs and limited availability of conventional protein sources such as soybean meal and fishmeal. This systematic review and meta-analysis evaluated the nutritional efficiency and sustainability of locally available alternative protein sources for livestock feed in SSA. Following PRISMA guidelines, systematic searches were conducted across five databases (PubMed, … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 4 · 19 Feb 2026 · 1,849 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntercropping Agricultural Practices by Improving Maize Early Growth Process: A Bio-Statistical ApproachDago Dougba Noel, Tuo Yalamoussa, Niamien Coffi Jean Magloire et al.Fertile soil pressure represents a crucial concern vis-à-vis of agricultural crop yield improvement in several southern countries. Environmental concerns and soil low fertility as well as a rapid demographic development and as well intensive industrial exploitation with regard ground resource, drastically contribute in reducing agricultural land availability. We believe that multiple culture and/or intercropping experimentation designs, integration in southern countries … …Current Research in Biostatistics, Vol. 9, Issue 1 · 25 May 2019 · 8,392 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 · 1,780 accessesView PDFCite