Conceptual Framework of Determination Soil Moisture Level by VIS-SWIR Spectral Imager using Leaf Spectral Signature as a Proxy of Soil Moisture
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2022
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| _version_ | 1866902033894735872 |
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| author | Mohamed Thaheer, Ahmad Shaqeer Hiroaki, Saito Takahashi, Yukihiro |
| author_facet | Mohamed Thaheer, Ahmad Shaqeer Hiroaki, Saito Takahashi, Yukihiro |
| contents | <p>Precision agriculture is a growing trend in crop production management decisions in the agriculture industry. Soil water balance components must be managed appropriately for efficient farm irrigation management. Estimating soil moisture is essential for farmers since it addresses water and energy exchange at the atmosphere-soil interface. In-situ measurement using calibrated equipment is accurate and reliable, but it is labour intensive and time-consuming. Air- or space-borne remote sensing may be a superior alternative if the relationship between leaf spectral characteristics and soil moisture is appropriately established. Here, we present a preliminary field measurement result that was done on August 17th, 2022, at a vineyard in Tsurunuma Winery, Urausu, Hokkaido, Japan. Spectral signatures of 6 locations consisting of two grapevine species, i.e., Muscat-Hamburg and Rondo, were measured by VIS-SWIR InGaAs-LCTF spectral camera with a wavelength set at 400 – 1600 nm. The soil moisture level is measured using soil sensor, buried 15 cm alongside the grapevine. In addition, an exploratory work is conducted by cultivating same grapevine species in the laboratory under controlled environmental conditions and with a specific water and fertilizer solution ratio. Then, a normalized difference spectral index (NDSI) of the leaf spectral is calculated to identify the highest correlation corresponding to the specific wavelength for determining soil moisture level. This approach will be valuable in the future since it allows rapid estimation of soil moisture level and helps farmers apply the proper amount of water and nutrients to the plant, resulting in enhance yields, raise farm revenues, and conserve resources.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15554069 |
| institution | Zenodo |
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| publishDate | 2022 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Conceptual Framework of Determination Soil Moisture Level by VIS-SWIR Spectral Imager using Leaf Spectral Signature as a Proxy of Soil Moisture Mohamed Thaheer, Ahmad Shaqeer Hiroaki, Saito Takahashi, Yukihiro <p>Precision agriculture is a growing trend in crop production management decisions in the agriculture industry. Soil water balance components must be managed appropriately for efficient farm irrigation management. Estimating soil moisture is essential for farmers since it addresses water and energy exchange at the atmosphere-soil interface. In-situ measurement using calibrated equipment is accurate and reliable, but it is labour intensive and time-consuming. Air- or space-borne remote sensing may be a superior alternative if the relationship between leaf spectral characteristics and soil moisture is appropriately established. Here, we present a preliminary field measurement result that was done on August 17th, 2022, at a vineyard in Tsurunuma Winery, Urausu, Hokkaido, Japan. Spectral signatures of 6 locations consisting of two grapevine species, i.e., Muscat-Hamburg and Rondo, were measured by VIS-SWIR InGaAs-LCTF spectral camera with a wavelength set at 400 – 1600 nm. The soil moisture level is measured using soil sensor, buried 15 cm alongside the grapevine. In addition, an exploratory work is conducted by cultivating same grapevine species in the laboratory under controlled environmental conditions and with a specific water and fertilizer solution ratio. Then, a normalized difference spectral index (NDSI) of the leaf spectral is calculated to identify the highest correlation corresponding to the specific wavelength for determining soil moisture level. This approach will be valuable in the future since it allows rapid estimation of soil moisture level and helps farmers apply the proper amount of water and nutrients to the plant, resulting in enhance yields, raise farm revenues, and conserve resources.</p> |
| title | Conceptual Framework of Determination Soil Moisture Level by VIS-SWIR Spectral Imager using Leaf Spectral Signature as a Proxy of Soil Moisture |
| url | https://doi.org/10.5281/zenodo.15554069 |