Soil wet chemistry data and mid-infrared spectra collected from rice-wheat farmers’ fields in Bihar, India
The Soil Intelligence System (SIS-India) mid-IR (MIR) dataset contains MIR spectra and wet chemistry measurements (pH, EC, OC, N, P, K, S, B, Zn, Cu, Mn, Fe) for 3182 soil samples collected from randomly selected rice-wheat farmer fields spread uniformly within a KVK (government extension system) domain/district in Bihar, India. Soil sampling was conducted during the time following kharif harvest and prior to land preparation for rabi during the 2018, 2019, and 2020 seasons. The dataset is used for the training and evaluation of machine learning models for spectral prediction of soil properties.
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| Main Authors: | , , , , , , , |
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| Other Authors: | |
| Language: | English |
| Published: |
CIMMYT Research Data & Software Repository Network
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| Subjects: | Agricultural Sciences, Spectroscopy, Soil properties, Bihar, India, |
| Online Access: | https://hdl.handle.net/11529/10548646 |
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| Summary: | The Soil Intelligence System (SIS-India) mid-IR (MIR) dataset contains MIR spectra and wet chemistry measurements (pH, EC, OC, N, P, K, S, B, Zn, Cu, Mn, Fe) for 3182 soil samples collected from randomly selected rice-wheat farmer fields spread uniformly within a KVK (government extension system) domain/district in Bihar, India. Soil sampling was conducted during the time following kharif harvest and prior to land preparation for rabi during the 2018, 2019, and 2020 seasons. The dataset is used for the training and evaluation of machine learning models for spectral prediction of soil properties. |
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