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106 results for “Food Model”
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Research ArticleOpen accessIn the abstractForecasting Model of Corn Commodity Production in Indonesia: Production and Operation Management-Quantitative Method (POM-QM) SoftwareAsriani, Dhian Herdhiansyah, Wa Embe, LM Fid AksaraFood is essential for humans. In addition to being consumed, it can also be a valuable commodity for economic purposes through the production of food crops. Therefore, this study aims to model the forecasting of maize production in Indonesia using Production and Operations Management-Quantitative Method (POM-QM) software. The uniqueness of this research lies in its innovative approach to predicting corn … …Journal of Computer Science, Vol. 20, Issue 4 · 20 Feb 2024 · 6,153 accessesView PDFCite
Research ArticleOpen accessIn the abstractCrop Yield Prediction in Niger Using Machine Learning TechniquesMahaman Lawali Inoussa Garba, Naroua Harouna, Chaibou Kadri et al.Agriculture is the most impactful sector on Niger's economic growth. Stresses related to climate change and the environment are leading to a continuous decline in crop yield. Accurate crop yield forecasting is of paramount importance for farmers, government, policy makers, and other stakeholders to make most appropriate decisions regarding resource allocation and food security. This study examines the power of … …Journal of Computer Science, Vol. 21, Issue 8 · 16 Sep 2025 · 5,799 accessesView PDFCite
Research ArticleOpen accessIn the abstractAgricultural Crop Disease Detection Using Convolutional Neural NetworksAtsu Alagah Komlavi, Harouna Naroua, Chaibou KadriMitigating food insecurity in Niger is of paramount importance. According to some researchers, agricultural yield is declining. The permanent annual food shortage was estimated to be between 25 and 50%. Loss of cereal agricultural production is caused by pests and plant diseases. Knowing that ordinary techniques became inefficient. Automatic detection of plant diseases using artificial intelligence becomes the best solution. … …Journal of Computer Science, Vol. 21, Issue 3 · 24 Jan 2025 · 7,562 accessesView PDFCite
Research ArticleOpen accessIn the abstractPolygonatum sibiricum Red. With Steaming Yellow Rice Wine: Processing Technology, the Content of 5 Hydroxymethylfurfura and Safety AssessmentShiyu Ji, Shuo Li et al.To investigate the content and safety evaluation of 5 Hydroxymethylfurfural (5-HMF) in the processing of Polygonatum sibiricum Red, the steaming technology was optimized by response surface method combined with analytic hierarchy process of multiple indexes. The content of 5-HMF was quantitatively determined by HPLC. Safety assessment was conducted using a zebrafish model. The optimized conditions were a steaming time of … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 2 · 20 Nov 2025 · 2,592 accessesView PDFCite
Review ArticleOpen accessIn the abstractSurvey on Applications of Electronic NoseS. Keerthana, B. SanthiFood plays a vital role in our daily life. Providing good quality food to consumers is essential. Food quality can be accessed using the Electronic nose. Electronic nose (E-nose) is an instrument for odor analysis. E-nose mimics the human olfaction system. It is widely used in predicting the quality of foodstuffs and detecting the contamination in foods. E-nose can also … …Journal of Computer Science, Vol. 16, Issue 3 · 15 Mar 2020 · 8,179 accessesView PDFCite
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 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 abstractThe Impact of Carbon Tax on Agricultural Output, Employment, and Rural Income in Indonesia: Insights from an Energy Input-Output ModelSyahrituah Siregar, Luthfy Fatah, M. Handry Imansyah, SunardiThe agricultural sector in Indonesia is crucial for the national economy, contributing significantly to Gross Domestic Product (GDP) and sustaining the livelihoods of millions in rural areas. In light of increasing global environmental concerns, this study examines the potential impacts of a proposed carbon tax on agricultural production, employment, and rural household income in Indonesia. Utilizing the Miyazawa energy input-output … …OnLine Journal of Biological Sciences, Vol. 25, Issue 2 · 12 Jun 2025 · 3,398 accessesView PDFCite
Research ArticleOpen accessIn the abstractA 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 · 5,720 accessesView PDFCite
Research ArticleOpen accessIn the abstractReal-Time Data Capture Model for Accelerated Payment of Small-Scale FarmersNatasha Mwansa, Jackson PhiriMost developing countries especially in Africa face a number of challenges in the area of food security. These challenges include proliferation, theft, poor inventory system, poor transport and communication network. Zambia is one of the countries with these challenges and has been losing millions of dollars each year due to various challenges in managing the inventory system. In this paper, … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 3 · 29 Sep 2018 · 7,105 accessesView PDFCite