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SLIIT RDA
Scopus
2025
Faculty of Computing
Department of Computer Systems Engineering : [1]
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Collection's Items (Sorted by Submit Date in Descending order): 1 to 1 of 1
Issue Date
Title
Author(s)
2025-08
A novel application with explainable machine learning (SHAP and LIME) to predict soil N, P, and K nutrient content in cabbage cultivation
Abekoon, T
;
Sajindra, H
;
Rathnayake, N
;
Ekanayake, I.U.
;
Jayakody, A
;
Rathnayake, U
Collection's Items (Sorted by Submit Date in Descending order): 1 to 1 of 1
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Author
1
Abekoon, T
1
Ekanayake, I.U.
1
Jayakody, A
1
Rathnayake, N
1
Rathnayake, U
1
Sajindra, H
Subject
1
Cabbage
1
Deep neural network
1
Explainable machine learning
1
Major soil nutrients
1
Plant growth characteristics
Date issued
1
2025
Has File(s)
1
true