Remote sensing for the detection of soil-borne plant parasitic nematodes and fungal pathogens
Precision Crop Protection - The Challenge and Use of Heterogeneity, Page: 151-165
2010
- 25Citations
- 28Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Book Chapter Description
This chapter reviews past developments and the present state-of-the-art remote sensing for the detection of soil-borne nematodesnematodes and plant pathogenspathogens soil-borne. Nematodes and soil-borne pathogenspathogens soil-borne are considered ideal targets for the application of precision agriculture with non-contact sensing methodologies. The clustered occurrence and low level of mobility of nematodes and pathogenspathogens soil-borne in the soil and the induction of symptoms in the leaves make them perfect targets for remote sensing detection. Data obtained with infrared thermography and hyperspectral reflectance for the remote sensing of plant parasitic nematodes and root rotting fungi in sugar beetsugar beet as well as delineation of complex-disease interactions is also presented. The management of these two pest groups usually relies on full field pesticide treatments, even when only a small section of the field is infested. This underscores the need for remote sensing of disease clusters and the resulting application of site-specific management Site-specific management (SSM).
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=79954420504&origin=inward; http://dx.doi.org/10.1007/978-90-481-9277-9_10; https://link.springer.com/10.1007/978-90-481-9277-9_10; https://dx.doi.org/10.1007/978-90-481-9277-9_10; https://link.springer.com/chapter/10.1007/978-90-481-9277-9_10
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know