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 >

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 >

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 >

Ankita Kundu¹, Abir Das¹, Sayan Pal¹, Arijit Ghosh¹, Malay Kumar Adak^1,*, Masayuki Fujita², Mirza Hasanuzzaman^3,*

Phyton-International Journal of Experimental Botany, Vol.92, No.8, pp. 2283-2300, 2023, DOI:10.32604/phyton.2023.028178

Abstract The process of ripening involves physiological and biochemical events that become a concern during postharvest storage. We have documented different approaches for the preservation and maintenance of fruit quality during the postharvest period that are biocompatible and fully safe for consumption. Chemical residues that sustain sensory characteristics, such as color, flavor, aroma, and texture, are considered. In fruit ripening, both physical and chemical elicitors are described that regulate ethylene biosynthesis or its signaling for gene expression. The key regulatory enzymes, such as ACC synthase and ACC oxidase, for ethylene biosynthesis, are important for both climacteric and non-climacteric fruits. Anti-oxidizing genes… More >

Tahsin Shoala¹, Basma H. Amin², Ismail A. S. Rashid³, Fayz A. Abdel-Rahman³, Mohamed E. Khalil³, Khamis Youssef^3,*

Phyton-International Journal of Experimental Botany, Vol.92, No.4, pp. 1139-1152, 2023, DOI:10.32604/phyton.2023.026515

Abstract Production of peaches (Prunus persica (L.) Batsch) for both local market and export is increasing each year in Egypt. Brown rot disease, caused by Monilinia laxa and Monilinia fructigena, is considered one of the most important postharvest rots affecting peaches in Egypt and economic losses are increasing. Antifungal activity of glycyrrhizic acid nanoparticles (GA-NPs) and glycyrrhizic acid (GA) at 0.2 and 0.4 mmol/L was investigated as a control for both these brown rot pathogens on peach fruits in both in vitro and in vivo studies. In the in vitro studies, GA-NPs were the most effective as shown by the ability… More >

Kandasamy Sellamuthu^*, Vishnu Kumar Kaliappan

Computer Systems Science and Engineering, Vol.45, No.1, pp. 715-736, 2023, DOI:10.32604/csse.2023.029017

Abstract Pesticides have become more necessary in modern agricultural production. However, these pesticides have an unforeseeable long-term impact on people's wellbeing as well as the ecosystem. Due to a shortage of basic pesticide exposure awareness, farmers typically utilize pesticides extremely close to harvesting. Pesticide residues within foods, particularly fruits as well as veggies, are a significant issue among farmers, merchants, and particularly consumers. The residual concentrations were far lower than these maximal allowable limits, with only a few surpassing the restrictions for such pesticides in food. There is an obligation to provide a warning about this amount of pesticide use in… More >

WEI ZHOU, MENGMENG ZHANG, KEZHANG TAO, XIANCAN ZHU^*

BIOCELL, Vol.46, No.12, pp. 2575-2582, 2022, DOI:10.32604/biocell.2022.021910

Abstract Land salinization is a major form of land degradation, which is not conducive to the growth and quality of fruits and vegetables. Plant salt tolerance can be enhanced by arbuscular mycorrhizal fungi (AMF) or plant growth-promoting rhizobacteria (PGPR). This study examined the effects of inoculation with PGPR singly or in combination with AMF, on the growth and quality of tomato fruits under low saline conditions. Tomatoes were cultivated in a greenhouse with sterilized soil, inoculated with PGPR, AMF, or co-inoculated with PGPR and AMF, and NaCl solution (1%) was added to the soil. The results indicated that AMF + PGPR… More >

YOLANDA GONZÁLEZ-GARCÍA¹, VALERIA FLORES-ROBLES², GREGORIO CADENAS-PLIEGO³, ADALBERTO BENAVIDES-MENDOZA⁴, MARCELINO CABRERA DE LA FUENTE⁴, ALBERTO SANDOVAL-RANGEL⁴, ANTONIO JUÁREZ-MALDONADO^1,*

BIOCELL, Vol.46, No.11, pp. 2497-2506, 2022, DOI:10.32604/biocell.2022.021861

Abstract The metabolic activity of the fruits continues even after harvest, which results in the loss of bioactive compounds, a decrease in the quality of the fruits, softening and browning, among other negative effects. The use of certain elements such as silicon can improve postharvest quality, since it is involved in the metabolic, physiological and structural activity of plants, moreover can increase the quality of the fruits. In addition, nanotechnology has had a positive impact on crop yield, nutritional value, fruit quality and can improve antioxidant activity. For these reasons, the use of beneficial elements such as silicon in the form… More >

Dina M. Ibrahim^1,2,*, Nada M. Elshennawy²

CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.1, pp. 331-348, 2022, DOI:10.32604/cmes.2022.016419

Abstract Dates are an important part of human nutrition. Dates are high in essential nutrients and provide a number of health benefits. Date fruits are also known to protect against a number of diseases, including cancer and heart disease. Date fruits have several sizes, colors, tastes, and values. There are a lot of challenges facing the date producers. One of the most significant challenges is the classification and sorting of dates. But there is no public dataset for date fruits, which is a major limitation in order to improve the performance of convolutional neural networks (CNN) models and avoid the overfitting… More >

Labiba Gillani Fahad¹, Syed Fahad Tahir^2,*, Usama Rasheed¹, Hafsa Saqib¹, Mehdi Hassan², Hani Alquhayz³

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5083-5098, 2022, DOI:10.32604/cmc.2022.023357

Abstract The nutritional value of perishable food items, such as fruits and vegetables, depends on their freshness levels. The existing approaches solve a binary class problem by classifying a known fruit\vegetable class into fresh or rotten only. We propose an automated fruits and vegetables categorization approach that first recognizes the class of object in an image and then categorizes that fruit or vegetable into one of the three categories: pure-fresh, medium-fresh, and rotten. We gathered a dataset comprising of 60K images of 11 fruits and vegetables, each is further divided into three categories of freshness, using hand-held cameras. The recognition and… More >