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74 results for “Food Security”
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Research ArticleOpen accessIn the abstractAn Active Learning Ensemble Framework for Tropical Crop Yield PredictionAmol Bhilare, Debabrata Swain, Megh Patel et al.Agriculture always has great importance among all different sectors, not only in the world but also in India. It has a significant impact on food security and largely controls the economy. At present, technological advancements have significantly enhanced agricultural productivity, but it can still be further improved by the integration of new cutting-edge techniques like Artificial intelligence. Among the factors … …Journal of Computer Science, Vol. 22, Issue 9 · 11 Sep 2026 · 819 accessesView PDFCite
Research ArticleOpen accessIn the abstractMachine Learning Based Prediction of Catch Yields in Small Scale FisheriesEpifelward Niño Olaivar Amora, Patrick D. CernaSmall-scale fisheries are critical for food security and livelihoods but increasingly face threats from overfishing and environmental change. This study employed machine learning to predict catch yields in Cogtong Bay, Philippines, using 3,478 records collected in 2020–2021 that included species, gear, location, season, and weather data. Models developed in Python with scikit-learn and XGBoost compared Random Forest (RF), Extreme Gradient … …Journal of Computer Science, Vol. 22, Issue 8 · 24 Aug 2026 · 1,096 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Integrated Machine Learning Framework for Citrus Grading and Yield Prediction Using Classifier-Informed RegressionLydia Dede Obeng, Isaac O. OsunmakindeAgriculture remains a cornerstone of human sustenance, yet accurate citrus fruit grading and yield predictions remain significant challenges due to visual similarities between varieties such as oranges and grapefruits. This includes the inefficiencies of manual grading. This study presents a new dual-function machine learning system that integrates classification and regression to simultaneously grade citrus fruits and forecast crop yields. This … …Journal of Computer Science, Vol. 22, Issue 4 · 24 Apr 2026 · 1,891 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenetic and Environmental Interactions in Spring Wheat Resistance to Bipolaris Sorokiniana Root Rot in KazakhstanYerlan Dutbayev, Ardak Bolatbekova, Aidana Kharipzhanova et al.Common root rot caused by Bipolaris sorokiniana represents a major constraint to wheat production in Kazakhstan. This study evaluated the resistance of 30 spring bread and durum wheat genotypes under diverse environmental and treatment conditions in two contrasting regions (Almaty and Aktobe) during 2024. The experimental design included three treatment regimes: fungicide application, artificial inoculation with the pathogen, and natural … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 7 Mar 2026 · 1,517 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 · 3,917 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Sweet Corn Growth and Yield through the Integrated Application of Bioneensis Biofertilizer and Rice Husk BiocharSumihar Hutapea, Saipul Sihotang, Adi Fathul Qohar et al.Sweet corn is an essential agricultural product in Indonesia and contributes to national food security. Consequently, numerous strategies can be implemented to increase the yield of sweet corn, such as intensified fertilization. While organic fertilizers like biofertilizers and biochar have shown potential to enhance crop growth, their combined effects on sweet corn, particularly under Indonesian conditions, are understudied. This study … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 6 Feb 2026 · 1,929 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptation and Use of the Gangaria Seed Drill for the Improvement of Peanut (Arachis hypogaea) Cultivation in Niger: Case of the Maradi and Zinder RegionsAbdoulahi Mamane, Arifa Warouma et al.In Niger, peanut cultivation plays a significant role in food security and improving the incomes of rural households, particularly in the Maradi and Zinder regions. However, this crop remains hampered by low mechanization, the use of traditional tools, and inefficient fertilization, resulting in consistently low yields of around 600 to 800 kg/ha. Faced with these constraints, this study aims to … …American Journal of Applied Sciences, Vol. 22, Issue 1 · 6 Feb 2026 · 2,832 accessesView PDFCite
Review ArticleOpen accessIn the abstractDecoding Late Blight of Potato and Tomato: Insights into Pathogen Dynamics, Host Interactions and Emerging SolutionsHumayra Ferdus, Mahabuba Mostafa, Dodi Al Sharif, Md. Motaher HossainThe oomycete Phytophthora infestans is the source of late blight, a devastating disease that significantly impacts on tomato and potato cultivation worldwide, threatening food security and causing considerable economic losses. This review explores the epidemiological dynamics of late blight, focusing on the pathogen's life cycle, reproductive strategies, and molecular pathogenesis. Traditional management strategies, including cultural practices, host resistance, and biocontrol … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 5 Feb 2026 · 2,530 accessesView PDFCite
Research ArticleOpen accessIn the abstractEarly Plant Disease Detection Using Graph Isomorphic Networks: Enhancing Crop Yield Through Leaf AnalysisD. Sumathi, Sreejyothsna Ankam, Pravin Prakash Adivarekar et al.The economy of Tanzania is mostly driven by agriculture. Disease is one of the reasons that contributes to the low production of staple foods like cassava and maize, alongside climate change. Loss of income and food security are the results. In order to detect the diseases early, preventative measures are required. A potential option for farmers could be the use … …Journal of Computer Science, Vol. 21, Issue 9 · 15 Oct 2025 · 3,101 accessesView PDFCite