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Application of Remote Sensing in Agriculture

Remote sensing plays a vital role for precision agriculture. Remote sensing provides data over a wide range of the electromagnetic spectrum with multi/hyperspectral image data. Machine learning algorithms, ranging from basic algorithms such as PCA and K-Means to more sophisticated classification and regression frameworks like SVMs, decision trees, Random Forests, and artificial neural networks are used to analyse the image data...

Published 10 April 2020 by - Raja Sunkara

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