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Proximal Sensing in Grasslands and Pastures
- Source :
- Agriculture, Vol 11, Iss 740, p 740 (2021)
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- Reliable measures of biomass, species composition, nitrogen status, and nutritive value provide important indicators of the status of pastures and rangelands, allowing managers to make informed decisions. Traditional methods of sample collection necessitate significant investments in time and labor. Proximal sensing technologies have the potential to collect more data with a smaller investment in time and labor. However, methods and protocols for conducting pasture assessments with proximal sensors are still in development, equipment and software vary considerably, and the accuracy and utility of these assessments differ between methods and sites. This review summarizes the methods currently being developed to assess pastures and rangelands worldwide and discusses these emerging technologies in the context of diffusion of innovation theory. Published version
- Subjects :
- LiDAR
010504 meteorology & atmospheric sciences
Diffusion of innovation theory
Emerging technologies
Agriculture (General)
0211 other engineering and technologies
Context (language use)
02 engineering and technology
Plant Science
photogrammetry
01 natural sciences
S1-972
sensing
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Biomass (ecology)
business.industry
grasslands
Environmental resource management
Investment (macroeconomics)
pastures
proximal
Business
Sample collection
Rangeland
Agronomy and Crop Science
Food Science
Subjects
Details
- ISSN :
- 20770472
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Agriculture
- Accession number :
- edsair.doi.dedup.....f5aec48119738a4d6d7f111c34fa61b9