2017
DOI: 10.1080/03650340.2017.1352088
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Spatial prediction of saline and sodic soils in rice‒shrimp farming land by using integrated artificial neural network/regression model and kriging

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Cited by 9 publications
(1 citation statement)
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“…Abandoned farmland is found in various regions worldwide (Cerdà et al, 2019;Levers et al, 2018) Data from FAO shows that salinity affects more than 6% of land worldwide whose area exceeds 1 billion ha in about 100 countries that are threatened by these conditions, even there is a phenomenon of an increase of 10% every year (Dinh et al, 2018). There are rice elds bordering ponds in many coastal areas not utilized due to saltwater intrusion, so they experience environmental problems related to the saltwater intrusion (Dien et al, 2019;Xiao et al, 2021), many similar lands are abandoned due to saline water intrusion (Agboola et al, 2020;Cerdà et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Abandoned farmland is found in various regions worldwide (Cerdà et al, 2019;Levers et al, 2018) Data from FAO shows that salinity affects more than 6% of land worldwide whose area exceeds 1 billion ha in about 100 countries that are threatened by these conditions, even there is a phenomenon of an increase of 10% every year (Dinh et al, 2018). There are rice elds bordering ponds in many coastal areas not utilized due to saltwater intrusion, so they experience environmental problems related to the saltwater intrusion (Dien et al, 2019;Xiao et al, 2021), many similar lands are abandoned due to saline water intrusion (Agboola et al, 2020;Cerdà et al, 2019).…”
Section: Introductionmentioning
confidence: 99%