Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/36892

Title: Key issues in incorporating proximal and remote sensor data into farm decision-making
Authors: Sousa, Adélia
Silva, Rafael
Serrano, João
Shahidian, Shakib
Silveira, Duarte Lobo
Simões, Manuela
Gonçalves, Ana Cristina
Caldinhas, Maria João
Cruz, Vasco
Júnior, Arilson
Souza, Silvia
Lourenço, Patricia
Baptista, Fátima
Coelho, Diogo
Editors: SØrensen, Claus GrØn
Keywords: remote sensing
proximal sensor
smart farms
forest biomass
carbon footprint
animal welfare
Issue Date: 23-Apr-2024
Publisher: Burleigh Dodds Science Publishing
Citation: Sousa, A.M.O., Silva, J.R.M., Serrano, J., Shahidian, S. Silveira, D.L., Simões, M., Gonçalves, A.C., Caldinhas, M.J., Cruz, V.F., Júnior, A.J.O., Souza, S.R.L., Coelho, D.R., Lourenço, P., Baptista, F. (2024). Key issues in incorporating proximal and remote sensor data into farm decision-making. In: Smart farms: improving data-driven decision making in agriculture. Claus GrØn SØrensen (ed.). Burleigh Dodds Science Publishing (Chapter 3). 39 -74 pp. http://dx.doi.org/10.19103/AS.2023.0132.04 ISBN-13: 9781801463829
Abstract: 1 Introduction 2 Proximal sensor calibration and validation: evaluating the Grassmaster II probe to estimate pasture productivity 3 Using remote sensing data to identify management zones in olive groves 4 Using remote sensing data to estimate aboveground forest biomass 5 Assessing the carbon footprint of horticultural crops 6 Assessment of animal welfare using the Aurora app 7 Conclusion and future trends 8 References
URI: http://hdl.handle.net/10174/36892
Type: bookPart
Appears in Collections:MED - Publicações - Capítulos de Livros
MED - Publicações - Capítulos de Livros

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