Justifying the prediction of major soil nutrients levels (N, P, and K) in cabbage cultivation

Author:

Abekoon Thilina,Sajindra Hirushan,Buthpitiya B.L.S.K.,Rathnayake Namal,Meddage D.P.P.,Rathnayake UpakaORCID

Publisher

Elsevier BV

Reference11 articles.

1. A novel deep learning model to predict the soil nutrient levels (N, P, and K) in cabbage cultivation;Sajindra;Smart Agric. Technol.,2024

2. Analysis of transfer functions and Normalizations in an ANN model that predicts the transport of energy in a parabolic trough solar collector;Reyes-Téllez;Desalin. Water Treat,2020

3. A systematic review of machine-learning solutions in anaerobic digestion;Rutland;Bioengineering,2023

4. Evaluation of water quality indexes with novel machine learning and shapley additive explanation (SHAP) approaches;Aldrees;J. Water Process Eng.,2024

5. 1d convolutional neural networks and applications: a survey;Kiranyaz;Mech. Syst. Signal Process,2021

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