Sathit Prasomphan^*

Computer Systems Science and Engineering, Vol.44, No.2, pp. 991-1007, 2023, DOI:10.32604/csse.2023.025452

Abstract Establishing a system for measuring plant health and bacterial infection is critical in agriculture. Previously, the farmers themselves, who observed them with their eyes and relied on their experience in analysis, which could have been incorrect. Plant inspection can determine which plants reflect the quantity of green light and near-infrared using infrared light, both visible and eye using a drone. The goal of this study was to create algorithms for assessing bacterial infections in rice using images from unmanned aerial vehicles (UAVs) with an ensemble classification technique. Convolution neural networks in unmanned aerial vehicles image were used. To convey this… More >

B. Lalitha^1,*, V. Gomathi²

Computer Systems Science and Engineering, Vol.44, No.1, pp. 173-189, 2023, DOI:10.32604/csse.2023.024118

Abstract IC (Image Captioning) is a crucial part of Visual Data Processing and aims at understanding for providing captions that verbalize an image’s important elements. However, in existing works, because of the complexity in images, neglecting major relation between the object in an image, poor quality image, labelling it remains a big problem for researchers. Hence, the main objective of this work attempts to overcome these challenges by proposing a novel framework for IC. So in this research work the main contribution deals with the framework consists of three phases that is image understanding, textual understanding and decoding. Initially, the image… More >

Heru Suryanto^1,2,*, Bili Darnanto Susilo³, Jibril Maulana³, Aminnudin³, Uun Yanuhar⁴, Surjani Wonorahardjo^2,5, Husni Wahyu Wijaya^2,5, Abu Saad Ansari⁶

Journal of Renewable Materials, Vol.10, No.9, pp. 2455-2465, 2022, DOI:10.32604/jrm.2022.020478

Abstract Waste is the main problem for the environment. Handling waste for various useful applications has a benefit for the future. This work has been studied for handling pineapple peel waste to make composite film bacterial cellulose nanocomposite membrane (BCNM) with addition graphite nanoplatelet (GNP). The concentration of GNP in the membrane influence the membrane properties. The bacterial cellulose (BC) pellicle was synthesized by using media from pineapple peel waste extract. BC pellicle is cleaned with water and NaOH solution to be free from impactors. BCNM is synthesized through the mechanical disintegration stage. The results of disintegration using high pressure homogenizer… More > Graphic Abstract

Piyush Kumar Gupta¹, D. Karthik Kumar², M. Thaveena³, Soumya Pandit¹, Somya Sinha⁴, R. Ranjithkumar^2,* , Walaa F. Alsanie⁵, Vijay Kumar Thakur^6,7,8,*

Journal of Renewable Materials, Vol.10, No.12, pp. 3093-3105, 2022, DOI:10.32604/jrm.2022.019335

Abstract Custard apple is a dry land fruit. Its leaves exhibit different pharmacological activities. In the present study, both silver (Ag) nanoparticles and chitosan-coated Ag (Chi-Ag) nanoparticles were fabricated using the aqueous leaf extract of the custard apple plant. During preliminary phytochemical analysis, various types of phytocompounds were found in the aqueous leaf extract of the same plant. Next, both nanoparticles were physiochemically characterized. FTIR analysis exhibited the fingerprint vibrational peaks of active bioactive compounds in plant extract, Ag nanoparticles, and Chi-Ag nanoparticles. UV/Visible spectral analysis revealed the highest absorbance peak at 419 nm, indicating the presence of Ag nanoparticles. XRD… More > Graphic Abstract

Zongmin Mou^1,2,3, Fei Ye⁴, Fangchen Shen¹, Dake Zhao^1,2,3,*

Phyton-International Journal of Experimental Botany, Vol.91, No.10, pp. 2331-2348, 2022, DOI:10.32604/phyton.2022.021273

Abstract Aconitum vilmorinianum, a well-known traditional Chinese herb, is recently being threatened by overexploitation and environment disturbance. This study was conducted to provide propagation methods through in vitro germination and explant cultivation. Germination was stimulated up to 66.00% on Murashige and Skoog (MS) medium containing 2.0 mg L⁻¹ 6-benzylaminopurine (BAP), 0.1 mg L⁻¹ 1-napthaleneacetic acid (NAA), and 30 g L⁻¹ sucrose. Three bacteria (Pantoea agglomerans, Erwinia persicina, and Pseudomonas tolaasii) would be responsible for consistent contamination during germination. The latter two were effectively eradicated after disinfected. The influence of explant types and hormone combinations on direct and indirect organogenesis was evaluated… More >

Amjad Ali¹, Yasir Iftikhar^2,*, Mustansar Mubeen², Haider Ali³, Muhammad Ahmad Zeshan², Zohaib Asad⁴, Muhammad Zafar-ul-Hye⁵, Malik Abdul Rehman⁶, Mazhar Abbas⁷, Muhammad Rafique⁸, Muhammad Usman Ghani⁹

Phyton-International Journal of Experimental Botany, Vol.91, No.9, pp. 1859-1877, 2022, DOI:10.32604/phyton.2022.021734

Abstract

Since the 19^th century to date, the fungal pathogens have been involved in causing devastating diseases in plants. All types of fungal pathogens have been observed in important agricultural crops that lead to significant pre and postharvest losses. The application of synthetic fungicide against the fungal plant pathogens (FPP) is a traditional management practice but at the same time these fungicides kill other beneficial microbes, insects, animal, and humans and are harmful to environment. The antagonistic microorganism such as bacteria are being used as an alternate strategy to control the FPP. These antagonistic species are cost-effective and eco-friendly in nature.… More > Graphic Abstract

PRANAB DUTTA^1,*, GOMATHY MUTHUKRISHNAN^2,*, SABARINATHAN KUTALINGAM GOPALASUBRAMAIAM², RAJAKUMAR DHARMARAJ², ANANTHI KARUPPAIAH³, KARTHIBA LOGANATHAN⁴, KALAISELVI PERIYASAMY⁵, M. ARUMUGAM PILLAI², GK UPAMANYA⁶, SARODEE BORUAH⁷, LIPA DEB¹, ARTI KUMARI¹, MADHUSMITA MAHANTA¹, PUNABATI HEISNAM⁸, AK MISHRA⁹

BIOCELL, Vol.46, No.8, pp. 1843-1859, 2022, DOI:10.32604/biocell.2022.019291

Abstract

Plant growth-promoting rhizobacteria (PGPR) are specialized bacterial communities inhabiting the root rhizosphere and the secretion of root exudates helps to, regulate the microbial dynamics and their interactions with the plants. These bacteria viz., Agrobacterium, Arthobacter, Azospirillum, Bacillus, Burkholderia, Flavobacterium, Pseudomonas, Rhizobium, etc., play important role in plant growth promotion. In addition, such symbiotic associations of PGPRs in the rhizospheric region also confer protection against several diseases caused by bacterial, fungal and viral pathogens. The biocontrol mechanism utilized by PGPR includes direct and indirect mechanisms direct PGPR mechanisms include the production of antibiotic, siderophore, and hydrolytic enzymes, competition for space and… More >

Naima Asghar¹, Abida Aziz¹, Muhammad Farooq Azhar² , Mohamed El-Sharnouby³, Uzma Irfan¹, Iqra Rafiq¹, Husnain Farooq^4,5,*, Muhammad Ishaq Asif Rehmani⁶, Mohamed I. Sakran⁷, A. Altalhi⁸, Fahad M. Alzuaibr⁹, Ayman El Sabagh^10,*

Phyton-International Journal of Experimental Botany, Vol.91, No.8, pp. 1817-1829, 2022, DOI:10.32604/phyton.2022.020790

Abstract Moringa oleifera is a miracle plant rich in nutrients, antioxidants, and antibiotic properties. Present study was designed to evaluate various biochemical attributes of leaves and flowers of M. oleifera. Plant parts (leaves, flowers) of M. oleifera, collected from different roadsides of Multan district, Punjab, Pakistan, were used as experimental material. Result indicates that alkaloids, saponin, carbohydrates, fats, and protein had a high value in the aqueous extract of both leaves and flowers of M. oleifera. Whereas phenol content was high in methanolic leaves extract and the phenol contents were high in aqueous extract of flowers. The extract yield of M.… More >

D. Devina Merin^1,*, P. Jagatheeswari²

Intelligent Automation & Soft Computing, Vol.33, No.3, pp. 1849-1860, 2022, DOI:10.32604/iasc.2022.024495

Abstract The Deep learning (DL) network is an effective technique that has extended application in medicine, robotics, biotechnology, biometrics and communication. The unique architecture of DL networks can be trained according to classify any complex tasks in a limited duration. In the proposed work a deep convolution neural network of DL is trained to classify the antimicrobial activity of silver nanoparticles (AgNP). The process involves two processing steps; synthesis of silver nanoparticles and classification (SEM) of AgNP based on the antimicrobial activity. AgNP images from scanning electron microscope are pre-processed using Adaptive Histogram Equalization in the networking system and the DL… More >

Nouh Sabri Elmitwally^1,2, Maria Tariq^3,4, Muhammad Adnan Khan^5,*, Munir Ahmad³, Sagheer Abbas³, Fahad Mazaed Alotaibi⁶

Computer Systems Science and Engineering, Vol.42, No.3, pp. 1001-1014, 2022, DOI:10.32604/csse.2022.022017

Abstract In the agricultural industry, rice infections have resulted in significant productivity and economic losses. The infections must be recognized early on to regulate and mitigate the effects of the attacks. Early diagnosis of disease severity effects or incidence can preserve production from quantitative and qualitative losses, reduce pesticide use, and boost ta country’s economy. Assessing the health of a rice plant through its leaves is usually done as a manual ocular exercise. In this manuscript, three rice plant diseases: Bacterial leaf blight, Brown spot, and Leaf smut, were identified using the Alexnet Model. Our research shows that any reduction in… More >