Performance evaluation and characterization of wetted soil parameters of improvised medi-emitters installed in a drip irrigation tomato field

Performance evaluation and characterization of wetted soil parameters of improvised medi-emitters installed in a drip irrigation tomato field



Awe G.O., Abegunrin T.P., Ojediran J.O., Oyetoro O.O.



Field study was conducted to evaluate the emission
uniformity (EU), global coefficient of variation (CGv), emitter flow
variation (Qvar) and distribution uniformity (DU), and determine the
wetted radius (rw) on soil surface of improvised medi-emitters installed
in a tomato field. Soil water content (SWC) at four layers was
determined after different periods of irrigation. Radius of wetted soil
surface was determined and predicted. Irrigation frequency had no
significant effect on the average discharge rate of the medi-emitters
throughout the growing cycle. Average Qvar and CGv were significantly
(P=0.05) influenced by the frequency of application while the EU and DU
did not significantly (P=0.05) differ among the treatments. There were
significant differences in the average values of SWC in different soil
layers under the different periods of irrigation. Both the observed and
calculated rw on the soil surface were fitted with fourth order
polynomial. The model performance parameters of MAE and RMSE between the
calculated and observed radii were low, indicating good prediction.
Medical infusion set can successfully replace the more expensive
conventional emitters for drip irrigation system. 



10.22161/ijeab/2.1.41



http://ijeab.com/upload_document/issue_files/41%20IJEAB-JAN-2017-56-Performance%20evaluation%20and%20characterization%20of%20wetted%20soil%20parameters%20of%20improvised.pdf



ijeab.com/submit-paper/

Comments

Popular posts from this blog

The Ecological Impacts of Light Pollution at Night-time a Mechanistic Appraisal

Studying the tendency of citizens to participate in the protection and development of land scape in Tehran

Land Use Land Cover Change Detection by Using Remote Sensing Data in Akaki River Basin