Reprint
Worldwide Trends in Agronomy Research: Bibliometric Studies
Edited by
October 2021
192 pages
- ISBN978-3-0365-2190-9 (Hardback)
- ISBN978-3-0365-2189-3 (PDF)
This is a Reprint of the Special Issue Worldwide Trends in Agronomy Research: Bibliometric Studies that was published in
Biology & Life Sciences
Chemistry & Materials Science
Environmental & Earth Sciences
Summary
One of the main objectives of this book is to contribute studies that help to identify the global research trends in agronomy, especially if they have an approach related to sustainability. These chapters care recommended to identify the research trends in each scientific field related to agronomy and, if possible, identify the open challenges in that particular field of study
Format
- Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
Keywords
artificial intelligence; agriculture; bibliometric analysis; cross world research; agriculture; water management; water resources; irrigation; sustainable management; sustainability; bibliometric analysis; Mexico; agronomy; SciVal; patents; Europe; bibliometrics; R&D; Scopus; patentometrics; Triple Helix; twitter; content analysis; Network Analysis (NA); Grounded Theory Method (GTM); berry growers; agroforestry; bibliometrics; coffee biology; coffee biotechnology; coffee industry; coffee species; environmental sustainability; global research; scientific documentation; ozone; plant; environment; health; precision agriculture; analysis; bibliometry; coffee farm; systematic review; sustainable development; agricultural economics; environmental economics; bibliometric analysis; agricultural robots; agriculture 4.0/5.0; cooperative robots; farming automation; agronomy; patents; scopus; sustainability; precision agriculture; coffee; ozone; environment; health; agroforestry; bibliometrics; berry growers; artificial intelligence; agriculture; robots; farming automation; economy; irrigation; bibliometric analysis; allometric relationships; seedling quality; biometric parameters; quality indicators; plant performance; root quality parameters