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40 articles for “Fruit Quality”
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Review ArticleOpen accessPhrase in the titleImproving Classification and Clustering Accuracy of Palembang Duku Fruit Quality via CNN-K-Means IntegrationHenny Hartono, Francka Sakti Lee, Herlina Herlina et al.Duku Palembang (Lansium domesticum Corr.) is a leading commodity from South Sumatra with high economic value. The quality assessment process for duku has traditionally relied on manual visual inspection, which is subjective, time-consuming, and inconsistent, especially at large production scales. This study proposes an integrative framework combining Convolutional Neural Network (CNN) and K-Means Clustering to improve the accuracy of classification … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 8 May 2026 · 1,475 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEvaluation of Ten Cucumber (Cucumis sativus L.) Hybrids Under Greenhouse Conditions in the Aral Sea Region of KazakhstanIbadulla Aigalievich Tautenov, Gulsym Zykriyaevna Sauytbayeva, Rakhym Iskendirovich Kudiyarov et al.Greenhouse cucumber production in the Aral Sea region of Kazakhstan faces unique challenges due to harsh climatic conditions and limited agricultural resources, making cultivar selection a critical determinant of productivity and economic viability. This study evaluated ten parthenocarpic smooth-fruited cucumber hybrids, Multistar F1, Melen F1, Hoyrat F1, Minmax F1, Lami F1, Infinity F1, Magnum F1, Sprint F1, Joki F1, and … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 6 Jul 2026 · 1,083 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEffects of Fertilization Frequency and Amount on the Chemometric Characteristics, Physiology, and Yield of Tomato Under Substrate CultivationEnling Ji, Qianqian Di, Qingjie Du et al.This study examined the effects of fertilization frequency and quantity on growth, yield, and quality of tomatoes under substrate cultivation. A factorial experiment evaluated two fertilization frequencies (every 5 or 10 days) and three fertilization levels (15.69, 31.38, or 62.76 kg·ha⁻¹), along with an unfertilized control. Plants were assessed for growth and development, photosynthetic pigment content, gas exchange parameters, nutrient … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 4 · 16 Feb 2026 · 1,715 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Utilization of Red Cabbage Extract (Brassica oleracea) in the Production of Avocado (Persea americana Mill) Freshness Indicator as Smart Packaging ElementAndi Dirpan, Muspirah Djalal, Riskawanti Rahman, Jalil GenisaThis research aimed to study and produce smart packaging indicator by utilizing red cabbage extract which could be applied to avocados. The research was conducted in a laboratory with the following stages; making red cabbage extract, preparing color indicator and applying it to smart packaging. The results showed that the soaking time and pH of the red cabbage extract solution … …OnLine Journal of Biological Sciences, Vol. 21, Issue 3 · 30 Sep 2021 · 7,341 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPalm Oil Milling Wastes and Sustainable DevelopmentA.C. Er, Abd. Rahim Md. Nor, Katiman RostamProblem statement: Palm oil milling generates solid wastes, effluent and gaseous emissions. The aim of this study is to assess the progress made in waste management by the Malaysian palm oil milling sector towards the path of sustainable development. Sustainable development is defined as the utilization of renewable resources in harmony with ecological systems. Inclusive in this definition is the … …American Journal of Applied Sciences, Vol. 8, Issue 5 · 17 May 2011 · 7,691 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-FOM: A Unified Multimodal Deep Learning Framework for Intelligent Pre-Harvest Papaya Classification and Crop ValorisationSovers Singh Bisht, Sanjeev Thakur, Sanjeev PanwarIntelligent pre-harvest crop assessment has become an essential component of precision agriculture, where accurate crop quality evaluation enables informed decision-making and sustainable crop management. However, existing multimodal frameworks often exhibit limited data diversity and insufficient cross-modal semantic interaction, reducing the reliability of intelligent crop valorisation. Address these limitations, this paper proposes a Multimodal Focal-Mamba Optimized Valorisation Model (Multi-FOM), a unified … …Journal of Computer Science, Vol. 22, Issue 9 · 24 Sep 2026 · 670 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved Compost Production from Fruit and Vegetable Market Waste: A Case Study in Bagua, Amazonas (Peru)Juan Eduardo Suarez Rivadeneira, Freddy A. Manayay, Wilfredo Ruiz Camacho, Juan Francisco Robles RuizInadequate management of organic solid waste in municipal markets represents a critical environmental challenge in tropical developing regions, where high humidity (>80%) and elevated temperatures (>25°C) accelerate decomposition, generating leachate and greenhouse gas emissions. In Peru, over 50% of municipal waste is organic, yet less than 20% is valorised through composting, highlighting a substantial technological gap. This study evaluated an … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 11 Aug 2026 · 1,262 accessesView PDFCite
Research ArticleOpen accessIn the abstractManipulating Light Duration and Intensity Using LEDs to Enhance Off-Season Yield of Hylocereus polyrhizus in a Tropical Area of Banyuwangi, East Java, IndonesiaKanthi Pangestuning Prapti, Setyono Yudo Tyasmoro et al.This study aimed to examine the effect of light duration and Light Emitting Diode (LED) power on the production of red dragon fruit during the off-season. The experiment was conducted in Bulurejo, Banyuwangi, East Java, Indonesia, from March to June 2024 using a split-plot design. The main plot consisted of LED illumination duration (2, 4, and 6 hours), while the … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 3 Aug 2026 · 962 accessesView PDFCite
Research ArticleOpen accessIn the abstractNitric Oxide Treatment Improves the Antioxidant Capacity While Inhibiting Anthocyanin Biosynthesis of Peach Fruit (‘Xiahui-8’) During RipeningZiqi Wang, Yanyan Li, Yingling Deng et al.Nitric Oxide (NO) is an important bioactive signal molecule that plays an important role in diverse physiological processes. This study aimed to explore the effects of Nitric Oxide (NO) treatments on postharvest peach fruit. Specifically, we examined changes in quality attributes, antioxidant ability, and anthocyanin profiles during storage, given the important role of NO as a bioactive signal molecule in … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 14 Apr 2026 · 1,392 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