Jeltzlin Semerel¹, Nigel John¹, Wim Dehaen², Pedro Fardim^3,*

Journal of Renewable Materials, Vol.11, No.3, pp. 1031-1061, 2023, DOI:10.32604/jrm.2022.023449 - 31 October 2022

Abstract Aloe vera plant is known worldwide for its medicinal properties and application in gel-based products such as shampoo, soap, and sunscreen. However, the demand for these gel-based products has led to a surplus production of Aloe vera processing waste. An Aloe vera gel processing facility could generate up to 4000 kg of Aloe vera waste per month. Currently the Aloe vera waste is being disposed to the landfill or used as fertilizer. A sustainable management system for the Aloe vera processing waste should be considered, due to the negative societal and environmental impacts of the currents waste disposal methods. Therefore, this… More > Graphic Abstract

Abderrezzaq Benalia^1,2, Kerroum Derbal^2,*, Amel Khalfaoui¹, Antonio Pizzi³, Ghouti Medjahdi⁴

Journal of Renewable Materials, Vol.10, No.3, pp. 625-637, 2022, DOI:10.32604/jrm.2022.017848 - 28 September 2021

Abstract The purpose of this work is the study the ability of the plant material Aloe vera to act as natural coagulant using raw water obtained from a drinking water treatment plant (Mila, Algeria). Different solvents such as: NaCl; NaOH and HCl were used as chemical activators to extract the active components from the Aloe vera plant, and different coagulation-flocculation experiments were conducted in a jar test apparatus to evaluate the performance of the extracted coagulant. Also, the effect of coagulant dose on some water parameters such as turbidity, pH, total alkalinity and organic matter were investigated. The… More > Graphic Abstract

Nazeer Muhammad¹, Rubab², Nargis Bibi³, Oh-Young Song⁴, Muhammad Attique Khan^5,*, Sajid Ali Khan⁶

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 2199-2216, 2021, DOI:10.32604/cmc.2020.012257 - 26 November 2020

Abstract Agriculture plays an important role in the economy of all countries. However, plant diseases may badly affect the quality of food, production, and ultimately the economy. For plant disease detection and management, agriculturalists spend a huge amount of money. However, the manual detection method of plant diseases is complicated and time-consuming. Consequently, automated systems for plant disease detection using machine learning (ML) approaches are proposed. However, most of the existing ML techniques of plants diseases recognition are based on handcrafted features and they rarely deal with huge amount of input data. To address the issue,… More >