FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2034971291> ?p ?o ?g. }

• W2034971291 endingPage "19" @default.
• W2034971291 startingPage "1" @default.
• W2034971291 abstract "Science-based approaches to agricultural and environmental management are needed to accelerate development progress in the world's poorest countries. We present a diagnostic surveillance framework modelled on medical diagnostic approaches for evidence-based management of agriculture and environment in developing countries. Infrared (IR) spectroscopy can play a pivotal role in making the surveillance framework operational, by providing a rapid, low cost and highly reproducible diagnostic screening tool. We review the wide applicability of IR spectroscopy for setting up measurement systems for the management of soils, crops, agricultural inputs, livestock health, agricultural products and water quality. IR spectroscopy is already being used in the design of soil surveillance systems, but the principles are generally applicable. A new evidence-based interpretation approach to plant analysis, combining plant and soil IR spectroscopy measurements, is proposed. Finally, an idealised design is proposed for making IR spectroscopy-based diagnostic surveillance operational in developing countries over the next ten years. Large area surveillance frameworks for agricultural and environmental problems will deploy integrated spectral indicators of soil, crop and livestock health and water quality. Spectral indicators will help to quantify risk factors associated with problems and assess intervention impacts. Smallholder farmers will have access to IR spectroscopy-based analysis of soils, crops and inputs through a network of hand-held or mobile IR spectroscopy units. Agricultural processing industries will make extensive use of IR spectroscopy on the factory floor to add value to agricultural produce and improve food safety. Regional centres of scientific and technological excellence will be required to support (i) high quality laboratory reference analyses, (ii) development of IR spectroscopy calibration databases and interpretation systems and (iii) up-grading of scientific and technical skills through training and education. Key challenges for adoption of this design include (i) building human capacity in science- and technology-based approaches, (ii) development of rugged low cost IR spectroscopy instrumentation and (iii) development of decision support systems to interpret IR spectroscopy data into management recommendations." @default.
• W2034971291 created "2016-06-24" @default.
• W2034971291 creator A5030855951 @default.
• W2034971291 creator A5041700177 @default.
• W2034971291 date "2007-02-01" @default.
• W2034971291 modified "2023-10-15" @default.
• W2034971291 title "Infrared Spectroscopy—Enabling an Evidence-Based Diagnostic Surveillance Approach to Agricultural and Environmental Management in Developing Countries" @default.
• W2034971291 cites W133326946 @default.
• W2034971291 cites W1488574179 @default.
• W2034971291 cites W1554186242 @default.
• W2034971291 cites W1579573963 @default.
• W2034971291 cites W1971911208 @default.
• W2034971291 cites W1974553170 @default.
• W2034971291 cites W1982246960 @default.
• W2034971291 cites W1984348355 @default.
• W2034971291 cites W1986503871 @default.
• W2034971291 cites W1987710212 @default.
• W2034971291 cites W1988826925 @default.
• W2034971291 cites W1992800046 @default.
• W2034971291 cites W1992855196 @default.
• W2034971291 cites W1997238933 @default.
• W2034971291 cites W1997974027 @default.
• W2034971291 cites W1998581723 @default.
• W2034971291 cites W2002459361 @default.
• W2034971291 cites W2003615905 @default.
• W2034971291 cites W2004597779 @default.
• W2034971291 cites W2012841527 @default.
• W2034971291 cites W2013294138 @default.
• W2034971291 cites W2016620871 @default.
• W2034971291 cites W2018367519 @default.
• W2034971291 cites W2019768353 @default.
• W2034971291 cites W2023160186 @default.
• W2034971291 cites W2023587762 @default.
• W2034971291 cites W2023929996 @default.
• W2034971291 cites W2025390595 @default.
• W2034971291 cites W2032113400 @default.
• W2034971291 cites W2036984006 @default.
• W2034971291 cites W2052903566 @default.
• W2034971291 cites W2054266233 @default.
• W2034971291 cites W2054325787 @default.
• W2034971291 cites W2069086577 @default.
• W2034971291 cites W2072725874 @default.
• W2034971291 cites W2074343365 @default.
• W2034971291 cites W2075804768 @default.
• W2034971291 cites W2076449298 @default.
• W2034971291 cites W2081584772 @default.
• W2034971291 cites W2082113182 @default.
• W2034971291 cites W2088586569 @default.
• W2034971291 cites W2090188556 @default.
• W2034971291 cites W2090517596 @default.
• W2034971291 cites W2092266488 @default.
• W2034971291 cites W2104356948 @default.
• W2034971291 cites W2113205274 @default.
• W2034971291 cites W2123076750 @default.
• W2034971291 cites W2128793918 @default.
• W2034971291 cites W2132051018 @default.
• W2034971291 cites W2142606975 @default.
• W2034971291 cites W2145488820 @default.
• W2034971291 cites W2146205032 @default.
• W2034971291 cites W2151923395 @default.
• W2034971291 cites W2156696321 @default.
• W2034971291 cites W2158678253 @default.
• W2034971291 cites W2164648186 @default.
• W2034971291 cites W2167615431 @default.
• W2034971291 cites W2275272321 @default.
• W2034971291 cites W2289904964 @default.
• W2034971291 cites W2293395321 @default.
• W2034971291 cites W2302689684 @default.
• W2034971291 cites W2328030450 @default.
• W2034971291 cites W2461608303 @default.
• W2034971291 cites W2490341826 @default.
• W2034971291 cites W2502128041 @default.
• W2034971291 cites W271071060 @default.
• W2034971291 cites W3098236531 @default.
• W2034971291 cites W311387201 @default.
• W2034971291 cites W34140569 @default.
• W2034971291 cites W36531614 @default.
• W2034971291 cites W4244597897 @default.
• W2034971291 cites W4253295371 @default.
• W2034971291 cites W2034875368 @default.
• W2034971291 doi "https://doi.org/10.1255/jnirs.716" @default.
• W2034971291 hasPublicationYear "2007" @default.
• W2034971291 type Work @default.
• W2034971291 sameAs 2034971291 @default.
• W2034971291 citedByCount "173" @default.
• W2034971291 countsByYear W20349712912012 @default.
• W2034971291 countsByYear W20349712912013 @default.
• W2034971291 countsByYear W20349712912014 @default.
• W2034971291 countsByYear W20349712912015 @default.
• W2034971291 countsByYear W20349712912016 @default.
• W2034971291 countsByYear W20349712912017 @default.
• W2034971291 countsByYear W20349712912018 @default.
• W2034971291 countsByYear W20349712912019 @default.
• W2034971291 countsByYear W20349712912020 @default.
• W2034971291 countsByYear W20349712912021 @default.
• W2034971291 countsByYear W20349712912022 @default.
• W2034971291 countsByYear W20349712912023 @default.
• W2034971291 crossrefType "journal-article" @default.

• next