A Review on Applications of Artificial Intelligence for Identifying Soil Nutrients-Reference-Cited by-同舟云学术

A Review on Applications of Artificial Intelligence for Identifying Soil Nutrients

Published:2023 Issue: Volume: Page:71-86
ISSN:1865-0929
Container-title:Agriculture-Centric Computation
language:
Short-container-title:

Author:

Jain Shagun^ORCID,Sethia Divyashikha^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-43605-5_6

Reference50 articles.

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2. Barman, U., Choudhury, R.D.: Prediction of soil pH using smartphone based digital image processing and prediction algorithm. J. Mech. Contin. Math. Sci. 14, 226–249 (2019)

3. Chandraprabha, M., Dhanaraj, R.K.: Soil based prediction for crop yield using predictive analytics. In: 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), pp. 265–270. IEEE (2021)

4. Chen, D., et al.: Mapping dynamics of soil organic matter in croplands with MODIS data and machine learning algorithms. Sci. Total Environ. 669, 844–855 (2019)

5. Diaz-Gonzalez, F.A., et al.: Machine learning and remote sensing techniques applied to estimate soil indicators-review. Ecolog. Indicat. 135, 108517 (2022)

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