A Hybrid Approach for Soil Nutrient Estimation using Multispectral Data in Belgium and Luxembourg
Author:
Affiliation:
1. Delhi Technological University,Department of Software Engineering,New Delhi,India
2. Delhi Technological University,Department of Civil Engineering,New Delhi,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10370005/10370765/10370850.pdf?arnumber=10370850
Reference24 articles.
1. Machine Learning in Precision Agriculture: A Survey on Trends, Applications and Evaluations Over Two Decades
2. A Review on Applications of Artificial Intelligence for Identifying Soil Nutrients
3. Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture
4. Prediction of Soil Nutrients Using Hyperspectral Satellite Imaging
5. Estimation of soil organic carbon in arable soil in Belgium and Luxembourg with the LUCAS topsoil database
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1. A critical systematic review on spectral-based soil nutrient prediction using machine learning;Environmental Monitoring and Assessment;2024-07-04
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