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Guidelines for precise lime management based on high-resolution soil pH, texture and SOM maps generated from proximal soil sensing data.
- Published in:
- Precision Agriculture, 2021, v. 22, n. 2, p. 493, doi. 10.1007/s11119-020-09766-8
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- Article
Multimodel assessment of climate change-induced hydrologic impacts for a Mediterranean catchment.
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- Hydrology & Earth System Sciences Discussions, 2018, p. 1, doi. 10.5194/hess-2018-165
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- Article
Multimodel assessment of climate change-induced hydrologic impacts for a Mediterranean catchment.
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- Hydrology & Earth System Sciences, 2018, v. 22, n. 7, p. 4125, doi. 10.5194/hess-22-4125-2018
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- Article
Predicting the Base Neutralization Capacity of Soils Based on Texture, Organic Carbon and Initial pH: An Opportunity to Adjust Common Liming Recommendation Approaches to Specific Management and Climate Conditions.
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- Agronomy, 2023, v. 13, n. 11, p. 2762, doi. 10.3390/agronomy13112762
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- Article
Predicting the Lime Demand of Arable Soils from pH Value, Soil Texture and Soil Organic Matter Content.
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- Agronomy, 2021, v. 11, n. 4, p. 785, doi. 10.3390/agronomy11040785
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- Article
Utilization of Multi-Temporal Microwave Remote Sensing Data within a Geostatistical Regionalization Approach for the Derivation of Soil Texture.
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- Remote Sensing, 2020, v. 12, n. 16, p. 2660, doi. 10.3390/rs12162660
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- Article
Noninvasive Monitoring of Soil Static Characteristics and Dynamic States: A Case Study Highlighting Vegetation Effects on Agricultural Land.
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- Vadose Zone Journal, 2012, v. 11, n. 3, p. 23, doi. 10.2136/vzj2011.0195
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- Article