Predicting the variability of copper and zinc in leaf and soil of oil palm planted on a 12 ha land using geospatial information system technology

Predicting the variability of copper and zinc in leaf and soil of oil palm planted on a 12 ha land using geospatial information system technology

Oil palm (Elaeis guineensis) is an important economic tree crops in the tropic. However, more than 95 % of oil palms grown in Southeast Asia are on acid, low fertility and highly weathered soils. Optimum value of micronutrients in the soil was required to enhance the efficiency of use of macro-nutri...

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Bibliographic Details
Main Authors: Muhamad Tajudin, Nur Shuhada, Musa, Mohamed Hanafi, Abu Seman, Idris, Balasundram, Siva Kumar
Format: Article
Language:English
Published: Penerbit UTM Press 2015
Online Access:http://psasir.upm.edu.my/id/eprint/52438/
http://psasir.upm.edu.my/id/eprint/52438/1/Predicting%20the%20variability%20of%20copper%20and%20zinc%20in%20leaf%20and%20soil%20of%20oil%20palm%20planted%20on%20a%2012%20ha%20land%20using%20geospatial%20information%20system%20technology.pdf

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