Susi Susi^1,2,*, Makhmudun Ainuri^3,*, Wagiman Wagiman³, Mohammad Affan Fajar Falah³

Journal of Renewable Materials, Vol.12, No.3, pp. 513-537, 2024, DOI:10.32604/jrm.2024.045586

Abstract Microcrystalline cellulose (MCC) is one of the cellulose derivatives produced as a result of the depolymerization of a part of cellulose to achieve high crystallinity. When implemented in other polymers, high crystallinity correlates with greater strength and stiffnes, but it can reduce the water-holding capacity. The acid concentration and hydrolysis time will affect the acquisition of crystallinity and water absorption capacity, both of which have significance as properties of hydrogel filler. The study aimed to evaluate the properties and select the MCC generated from varying the proportion of hydrochloric acid (HCl) and the appropriate hydrolysis time as a filler for… More > Graphic Abstract

Irfan Haider¹, Muhammad Attique Khan^1,*, Muhammad Nazir¹, Taerang Kim², Jae-Hyuk Cha²

Computer Systems Science and Engineering, Vol.48, No.2, pp. 529-554, 2024, DOI:10.32604/csse.2023.042080

Abstract Fruit infections have an impact on both the yield and the quality of the crop. As a result, an automated recognition system for fruit leaf diseases is important. In artificial intelligence (AI) applications, especially in agriculture, deep learning shows promising disease detection and classification results. The recent AI-based techniques have a few challenges for fruit disease recognition, such as low-resolution images, small datasets for learning models, and irrelevant feature extraction. This work proposed a new fruit leaf leaf leaf disease recognition framework using deep learning features and improved pathfinder optimization. Three fruit types have been employed in this work for… More >

Deni Ainur Rokhim^1,2, Isma Yanti Vitarisma¹, Sumari Sumari^1,*, Yudhi Utomo¹, Muhammad Roy Asrori¹

Journal of Renewable Materials, Vol.12, No.2, pp. 275-284, 2024, DOI:10.32604/jrm.2023.043419

Abstract The high consumption of electricity and issues related to fossil energy have triggered an increase in energy prices and the scarcity of fossil resources. Consequently, many researchers are seeking alternative energy sources. One potential technology, the Microbial Fuel Cell (MFC) based on rice, vegetable, and fruit wastes, can convert chemical energy into electrical energy. This study aims to determine the potency of rice, vegetable, and fruit waste assisted by Cu/Mg electrodes as a generator of electricity. The method used was a laboratory experiment, including the following steps: electrode preparation, waste sample preparation, incubation of the waste samples, construction of a… More >

Eduardo Burgos-Valencia^1,#, Federico García-Laynes^1,#, Ileana Echevarría-Machado¹, Fatima Medina-Lara¹, Miriam Monforte-González¹, José Narváez-Zapata^2,*, Manuel Martínez-Estévez^1,*

Phyton-International Journal of Experimental Botany, Vol.93, No.2, pp. 151-183, 2024, DOI:10.32604/phyton.2023.046943

Abstract Habanero pepper (Capsicum chinense Jacq.) is a crop of economic relevance in the Peninsula of Yucatan. Its fruits have a high level of capsaicinoids compared to peppers grown in other regions of the world, which gives them industrial importance. Soil is an important factor that affects pepper development, nutritional quality, and capsaicinoid content. However, the effect of soil type on fruit development and capsaicinoid metabolism has been little understood. This work aimed to compare the effect of soils with contrasting characteristics, black soil (BS) and red soil (RS), on the expression of genes related to the development of fruits, and… More >

S. Sofana Reka¹, Ankita Bagelikar², Prakash Venugopal^2,*, V. Ravi², Harimurugan Devarajan³

CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 781-794, 2024, DOI:10.32604/cmc.2023.043369

Abstract The freshness of fruits is considered to be one of the essential characteristics for consumers in determining their quality, flavor and nutritional value. The primary need for identifying rotten fruits is to ensure that only fresh and high-quality fruits are sold to consumers. The impact of rotten fruits can foster harmful bacteria, molds and other microorganisms that can cause food poisoning and other illnesses to the consumers. The overall purpose of the study is to classify rotten fruits, which can affect the taste, texture, and appearance of other fresh fruits, thereby reducing their shelf life. The agriculture and food industries… More >

Jian Chen¹, Jing Zhang², Gang Pan³, Dandan Huang^1,*, Shuhua Zhu¹

Phyton-International Journal of Experimental Botany, Vol.93, No.1, pp. 15-28, 2024, DOI:10.32604/phyton.2023.045621

Abstract Ellagic acid (EA) is a natural antioxidant, widely present in a lot of forms’ soft fruits, nuts, and other plant tissues, and helpful for promoting human health; however, its protective effect on postharvest fruit and improving the quality index of postharvest fruit have rarely been studied. In this experiment, the strawberries were soaked in 0, 100, 200, 300, 400, and 500 mg L⁻¹ EA, respectively, and the influential EA on fruit quality and the antioxidant system of strawberries were studied. Compared with the control, EA treatment can reduce the browning degree and rotting rate of strawberry fruit during storage and… More >

Xiandang Shen^1,2,3, Runxi He^2,3, Xin Li³, Zhuogong Shi^2,3,*, Jinfang Meng^2,3,*

Phyton-International Journal of Experimental Botany, Vol.92, No.12, pp. 3251-3266, 2023, DOI:10.32604/phyton.2023.042735

Abstract In this study, newly sprouted shoots of Zanthoxylum armatum (Z. armatum), which were collected after the harvesting period, were used as the primary experimental specimens. A randomized block design and paraffin sectioning method were used to investigate the flower bud differentiation process and the quantity and vitality of buds. Furthermore, the study examined the response of flowering and fruiting to cultivation methods for shoot growth, including layering and plant growth regulator application. The results showed that (a) layering and application of plant growth regulators for Z. armatum accelerated the process of flower bud differentiation by approximately 20 days compared to… More >

Ain Raal^1,*, Linda Rusalepp², Tatiana Chiru³, Nicolae Ciobanu³, Kelly Talvistu¹, Michelle Shusta¹, Oleh Koshovyi^1,4, Tõnu Püssa²

Phyton-International Journal of Experimental Botany, Vol.92, No.11, pp. 2965-2979, 2023, DOI:10.32604/phyton.2023.042723

Abstract The fruits of the Sea buckthorn (Hippophae rhamnoides L.) are a popular plant food and a valuable health product. Cultivating plants produces a lot of leaves with fine branches as an unnecessary residue, which needs valorization. The aim of the study was to estimate (by HPLC-MS/MS) the qualitative and quantitative content of polyphenolic compounds in different parts of H. rhamnoides (HR), and to determine the level of antioxidant activity of leaves and fruits (by DPPH, ABTS methods and ferrozine test). Up to 19 compounds were identified in different parts of HR. The fruits are rich in flavonoids, including various glycosides… More >

Muhammad Younis¹, Nudrat Aisha Akram^1,*, Arafat Abdel Hamed Abdel Latef^2,*, Muhammad Ashraf³

Phyton-International Journal of Experimental Botany, Vol.92, No.10, pp. 2761-2784, 2023, DOI:10.32604/phyton.2023.028801

Abstract To counteract the effects of drought stress, scientists have adopted several approaches including the use of different chemicals both inorganic and organic, which is contemplated as a highly efficient and cost-effective shot-gun approach. Ascorbic acid (AsA) is a potential organic substance, which widely occurs in plants, and is considered to be an effective antioxidant to counteract reactive oxygen species (ROS). Thus, a pot experiment was performed to assess the relative mitigating impacts of synthetic AsA and naturally occurring AsA in the form of lemon juice (LJ) and orange juice (OJ) on two cultivars of okra (Abelmoschus esculentus L.) namely Sabz… More >

T. Satyanarayana Murthy¹, Kollati Vijaya Kumar², Fayadh Alenezi³, E. Laxmi Lydia⁴, Gi-Cheon Park⁵, Hyoung-Kyu Song⁶, Gyanendra Prasad Joshi⁷, Hyeonjoon Moon^7,*

Computer Systems Science and Engineering, Vol.47, No.2, pp. 1633-1650, 2023, DOI:10.32604/csse.2023.034769

Abstract Fruit classification utilizing a deep convolutional neural network (CNN) is the most promising application in personal computer vision (CV). Profound learning-related characterization made it possible to recognize fruits from pictures. But, due to the similarity and complexity, fruit recognition becomes an issue for the stacked fruits on a weighing scale. Recently, Machine Learning (ML) methods have been used in fruit farming and agriculture and brought great convenience to human life. An automated system related to ML could perform the fruit classifier and sorting tasks previously managed by human experts. CNN’s (convolutional neural networks) have attained incredible outcomes in image classifiers… More >