Key issues in incorporating proximal and remote sensor data into farm decision-making
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Burleigh Dodds Science Publishing
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
Description
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