Key issues in incorporating proximal and remote sensor data into farm decision-making

• Author(s): 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
• Date: 2024
• Persistent ID: http://hdl.handle.net/10174/36892
• Origin: Repositório Científico da Universidade de Évora
• Subject(s): remote sensing; proximal sensor; smart farms; forest biomass; carbon footprint; animal welfare
• Document Type: Book part
• Language: English

Description

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