In this work, we aim to valorize the olive industry wastes as organic fertilizers, an integral part of the circular economy. The study is focused on the evaluation of the fertilizing powers and phytotoxic
PDFOrganic residues are widely used for the production Ofenzymes in industry in general Substrate for producing cellulases by Aspersnnus 'tiger IOC 3998 on Semi-Solid Fermentation (SSF).
PDFIn this study. the dynamics of Cr forms was investigated in sweet pepper plants cultivated with vermicomposted tannery waste. in a greenhouse. Additionally
PDFThe time-space distributions and trends of mulch film consumption in China were analyzed by combining GIS displays and model fitting of data from Year 2000 to 2019.
PDFJournal of Waste Resources and Reprocessing (JWRAR) is an international journal open access journal dedicated to the presentation and discussion of information on the prevention, monitoring, treatment, handling, reuse and ultimate residual disposition of solid wastes, both in industrialized and in economically developing countries. The journal addresses various types of solid wastes including municipal (e.g., residential, institutional, commercial, light industrial), agricultural, and special (e.g., C and D, health care, household hazardous wastes, sewage sludge).
In this work, we aim to valorize the olive industry wastes as organic fertilizers, an integral part of the circular economy. The study is focused on the evaluation of the fertilizing powers and phytotoxic potential of the compost juice in comparison
Mekki AliOrganic residues are widely used for the production of enzymes in industry in general as substrate for prcxlucing cellulases by Aspergillus niger IOC 3998 on Semi-Solid Ffrmentation (SSF).
Everaldo Silvino dos SantosIn this study, the dynamics of Cr forms was investigated in sweet pepper plants cultivated with vermicomposted tannery waste, in a reenhouse. Additionally.
Ramom R NunesThe time—space distributions and trends of mulch film consumption in China were analyzed by combining GIS displays and model fitting of data from Year 2000 to 2019.
Xinxia Chang