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pro vyhledávání: '"Hasnat Aslam"'
The performance of numerical, statistical, and data-driven diagnostic and predictive crop production modeling heavily relies on data quality for input and calibration/validation processes. This study presents a comprehensive database and the analytic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22c4938bfdf0ec5d3a8e1e23c8ba669e
https://doi.org/10.5194/essd-2023-11
https://doi.org/10.5194/essd-2023-11
Autor:
Hasnat Aslam, Muhammad Ikram, Dilshad Hussain, Kanwal Akhtar, Muhammad Imran Yousaf, Naveed Akhtar Shad, Yasir Javed, Surender K. Sharma, Amir Muhammad Afzal, Aamir Razaq, Moon Sajid, Muhammad Munir Sajid, Tousif Hussain
Publikováno v:
Journal of Materials Science: Materials in Electronics. 32:6344-6357
Tungstate nanorods (WO3 -NRs) were synthesized by a facile hydrothermal method using sodium tungstate as a precursor while sodium sulfate and hydrochloric acid were used as stabilizing agents. Scanning electron microscopy (SEM) images showed outstand
Publikováno v:
Biocatalysis and Agricultural Biotechnology. 18:101060
Soil organic carbon (SOC) is closely associated with the soil fertility level. Crop straw return is an important conservation agricultural practice to restore SOC in the soil. Soil microbial communities are actively involved in decomposition of crop