126. Pasture quality monitoring based on proximal and remote optical sensors: case study in the Montado Mediterranean ecosystem

Author:

Serrano J.1,Mendes S.1,Marques J.1,Shahidian S.1,Marques da Silva J.1,Moral F.2

Affiliation:

1. MED – Mediterranean Institute for Agriculture, Environment and Development and CHANGE – Global Change and Sustainability Institute, Institute for Advanced Studies and Research, Universidade de Évora, Pólo da Mitra, Ap. 94, 7006-554 Évora, Portugal.

2. Departamento de Expresión Gráfica, Escuela de Ingenierías Industriales, Universidad de Extremadura, Avenida de Elvas, S/N, 06006 Badajoz, Spain.

Publisher

Wageningen Academic Publishers

Reference17 articles.

1. AOAC. 2005. AOAC Official Methods of Analysis of AOAC International, 18th ed., AOAC International: Arlington, VA, USA.

2. Using Proximal Hyperspectral Sensing to Predict Herbage Nutritive Value for Dairy Farming

3. FAO 2006. World Reference Base for Soil Resources. Food and Agriculture Organization of the United Nations, World Soil Resources Reports N ° 103. Rome, Italy: IUSS Working Group WRB.

4. Investigating the potential of Sentinel-2 configuration to predict the quality of Mediterranean permanent grasslands in open woodlands

5. Comparison of winter wheat NDVI data derived from Landsat 8 and active optical sensor at field scale

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