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Abdellatif, B

Arnall, B

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Authors

Arnall, B

Abdellatif, B

Metwalli, M.R

Metwaly, M.M

AbdelRahman, M.A

Topics

Plenary

Climate Smart Agriculture

Type

Oral

Year

2020

2022

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Filter results2 paper(s) found.
1. Decision Aids: Mobile Apps and Sensors Producers are challenged daily with decisions. With the advancement in technologies the access to decision aid tools is becoming more wide spread. This decussion covers a few of the easily to use and apply technologies available. ... B. Arnall
2. A Time Series Investigation to Assess Climate Change and Anthropogenic Impacts on the Degradation of Nile Delta, Egypt. Land degradation risk, status and rate in Nile Delta, Egypt were assessed for a time series using remote sensing data over the past five decades using TM, ETM and OLI. Quantitative deterioration of the area was produced based on the comparative study approach in the integrated weighted sum, weighted overlay and fuzzy model. Where degradation factors were compiled in a raster and each data set scored on a 1 to 5 (very low, low, moderate, high and very high scale). The data sets were then weighted... B. Abdellatif, M.R. Metwalli, M.M. Metwaly, M.A. Abdelrahman

Filter results2 paper(s) found.

1. Decision Aids: Mobile Apps and Sensors

Producers are challenged daily with decisions. With the advancement in technologies the access to decision aid tools is becoming more wide spread. This decussion covers a few of the easily to use and apply technologies available. ... B. Arnall

2. A Time Series Investigation to Assess Climate Change and Anthropogenic Impacts on the Degradation of Nile Delta, Egypt.

Land degradation risk, status and rate in Nile Delta, Egypt were assessed for a time series using remote sensing data over the past five decades using TM, ETM and OLI. Quantitative deterioration of the area was produced based on the comparative study approach in the integrated weighted sum, weighted overlay and fuzzy model. Where degradation factors were compiled in a raster and each data set scored on a 1 to 5 (very low, low, moderate, high and very high scale). The data sets were then weighted... B. Abdellatif, M.R. Metwalli, M.M. Metwaly, M.A. Abdelrahman