Tarun Kumar Upadhyay^1,*, V. S. Varun Kumar², Amit Baran Sharangi³, Vijay J. Upadhye¹, Fahad Khan⁴, Pratibha Pandey⁴, Mohammad Amjad Kamal^5,6,7, Abrar Yasin Baba⁸ and Khalid Rehman Hakeem^9,*

Phyton-International Journal of Experimental Botany, Vol.91, No.3, pp. 471-487, 2022, DOI:10.32604/phyton.2022.017258

Abstract Horticulture is a branch of Agricultural science where it is defined as the science and art of cultivating and handling fruits, vegetables, ornamental plants and several plants having unique medicinal and aromatic values. Horticultural crops provide farmers with high income and have good export quality, but they have a concern about postharvest losses. Hence, increasing productivity and decreasing post-harvest losses by using scientific studies and techniques like biotechnology and nanotechnology could be the simplest possible solution to the above-mentioned problems. Using nanotechnology which is having the characteristics of nanoparticles is proven to be very useful in science and technological applications.… More >

Vignesh Sekar^1,*, Se Yong Eh Noum¹, Azma Putra², Sivakumar Sivanesan¹, Kok Chun Chin¹, Yi San Wong¹, Dg Hafizah Kassim³

Sound & Vibration, Vol.55, No.4, pp. 343-352, 2021, DOI:10.32604/sv.2021.014916

Abstract This paper presents the development and performance of micro-perforated panels (MPP) from natural fiber reinforced composites. The MPP is made of Polylactic Acid (PLA) reinforced with Oil Palm Empty Fruit Bunch Fiber (OPEFBF). The investigation was made by varying the fiber density, air gap, and perforation ratio to observe the effect on the Sound Absorption Coefficient (SAC) through the experiment in an impedance tube. It is found that the peak level of SAC is not affected, but the peak frequency shifts to lower frequency when the fiber density is increased. This phenomenon might be due to the presence of porosity… More >

JIANFEI GAO¹, KANGNING XIONG^2,*, WEIJIE LI¹, WEI ZHOU³

BIOCELL, Vol.46, No.1, pp. 285-296, 2022, DOI:10.32604/biocell.2021.016253

Abstract Kadsura coccinea (Lem.) is a woody wine plant with a peculiar fruit enriched in important health-promoting compounds. The non-editable part of the fruit, i.e., the seed and peel, represents more than 60% of the fruit and is considered a biowaste. This significantly restricts the development of the K. coccinea fruit industry. Clarifying the metabolic components of the different fruit parts can help to improve the utilization rate and valorization of K. coccinea. Herein, we evaluated K. coccinea fruit peel, pulp, and seed using widely-targeted metabolomics and quantified a set of 736 bioactive compounds from 11 major metabolite classes. The most… More >

LINGJIAO FAN¹, DAN SONG¹, YINGWEI KHOO², MENGMENG WU¹, TENGFEI XU¹, XIAOLI ZHAO¹, HONGQING WANG¹

BIOCELL, Vol.46, No.1, pp. 263-273, 2022, DOI:10.32604/biocell.2022.016306

Abstract

Strawberry mottle virus (SMoV) and strawberry vein banding virus (SVBV) cause diseases on strawberry plants, but the effect of coinfection of SMoV and SVBV on the growth, development, and defense system of strawberry (Fragaria × ananassa Duchesne) remains unknown. We investigated the effect of SMoV and SVBV co-infection on strawberry cultivar ‘Benihope’. The results showed that stem diameter, leaf size, leaf number, relative chlorophyll content, total chlorophyll content, photosynthetic parameters, and stomatal aperture of SMoV and SVBV co-infected strawberry (VIS) plants were in a weaker level than uninfected control plants, indicating that viruses inhibited the growth and photosynthesis of strawberry… More >

Xiaoshan Guo^1,2, Dandan Huang², Siyu Wen², Yang Bai², Shuhua Zhu^2,*, Jianrong Feng^1,*

Phyton-International Journal of Experimental Botany, Vol.91, No.2, pp. 409-427, 2022, DOI:10.32604/phyton.2022.018022

Abstract Low-temperature storage is convenient for postharvest preservation of peach fruit, but peach fruit is sensitive to cold damage, which lowers its quality. Nitric oxide (NO) has the potential to improve the bitter resistance of peach fruit. In this work, peach fruit was treated with 15 μmol L⁻¹ NO and 5 μmol L⁻¹ c-PTIO [2-(4-carboxyphenyl)-4,4,5,5-tetramethylimidazoline-1-oxo-3-oxide], to study changes in mitochondrial fatty acids and expression of the C-repeat binding factor (CBF). The results showed that 15 μmol L⁻¹ exogenous NO significantly maintained fruit quality, reduced peroxidation of mitochondrial fatty acids, increased the activities of the antioxidants superoxide dismutase (SOD), peroxidase (POD), catalase… More >

Faiz Ali Shah¹, Muhammad Attique Khan², Muhammad Sharif¹, Usman Tariq³, Aimal Khan⁴, Seifedine Kadry⁵, Orawit Thinnukool^6,*

CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 1491-1507, 2022, DOI:10.32604/cmc.2022.019490

Abstract Fruit diseases seriously affect the production of the agricultural sector, which builds financial pressure on the country's economy. The manual inspection of fruit diseases is a chaotic process that is both time and cost-consuming since it involves an accurate manual inspection by an expert. Hence, it is essential that an automated computerised approach is developed to recognise fruit diseases based on leaf images. According to the literature, many automated methods have been developed for the recognition of fruit diseases at the early stage. However, these techniques still face some challenges, such as the similar symptoms of different fruit diseases and… More >

Javaria Amin¹, Muhammad Almas Anjum², Muhammad Sharif³, Seifedine Kadry⁴, Yunyoung Nam^5,*

CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 619-635, 2022, DOI:10.32604/cmc.2022.018562

Abstract As they have nutritional, therapeutic, so values, plants were regarded as important and they’re the main source of humankind’s energy supply. Plant pathogens will affect its leaves at a certain time during crop cultivation, leading to substantial harm to crop productivity & economic selling price. In the agriculture industry, the identification of fungal diseases plays a vital role. However, it requires immense labor, greater planning time, and extensive knowledge of plant pathogens. Computerized approaches are developed and tested by different researchers to classify plant disease identification, and that in many cases they have also had important results several times. Therefore,… More >

Khaled Marji Alresheedi¹, Suliman Aladhadh², Rehan Ullah Khan², Ali Mustafa Qamar^1,3,*

Computer Systems Science and Engineering, Vol.40, No.1, pp. 151-166, 2022, DOI:10.32604/csse.2022.017931

Abstract There are over 200 different varieties of dates fruit in the world. Interestingly, every single type has some very specific features that differ from the others. In recent years, sorting, separating, and arranging in automated industries, in fruits businesses, and more specifically in dates businesses have inspired many research dimensions. In this regard, this paper focuses on the detection and recognition of dates using computer vision and machine learning. Our experimental setup is based on the classical machine learning approach and the deep learning approach for nine classes of dates fruit. Classical machine learning includes the Bayesian network, Support Vector… More >

Wan Hyun Cho¹, Sang Kyoon Kim², Myung Hwan Na¹, In Seop Na^3,*

CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 4003-4024, 2021, DOI:10.32604/cmc.2021.018758

Abstract Fruit processing devices, that automatically detect the freshness and ripening stages of fruits are very important in precision agriculture. Recently, based on deep learning, many attempts have been made in computer image processing, to monitor the ripening stage of fruits. However, it is time-consuming to acquire images of the various ripening stages to be used for training, and it is difficult to measure the ripening stages of fruits accurately with a small number of images. In this paper, we propose a prediction system that can automatically determine the ripening stage of fruit by a combination of deep neural networks (DNNs)… More >

Laura Raquel Orozco-Meléndez¹, Ofelia Adriana Hernández-Rodríguez¹, Oscar Cruz-Álvarez¹, Loreto Robles-Hernández¹, Graciela Dolores Ávila-Quezada¹, Esteban Sánchez Chavez², Damián Aarón Porras-Flores¹, Dámaris Leopoldina Ojeda-Barrios^1,*

Phyton-International Journal of Experimental Botany, Vol.91, No.1, pp. 1-12, 2022, DOI:10.32604/phyton.2022.016908

Abstract There are documentary records referring to paclobutrazol (PBZ) as a growth bioregulator that inhibits the gibberellin synthesis and its application increases yields in fruit and vegetable crop productions. Its agronomic management includes it as an emerging technology to reduce vigour, promote flower induction and flower development in fruit trees with increased economic returns. Its use is banned in some countries because of concerns about residues that can cause harmful effects on the environment. Therefore, the aim of this article was to collect, analyse and summarise relevant information on the use of PBZ in fruit tree production and its possible risks… More >