Information Technology Drivers in Smart Farming Management Systems
The chapter describes the possibilities of collecting digital data on crop and livestock production and their use in “smart farming” systems. Earth drone and spectral mobile mapping technologies can provide plant production-related measures with high temporal and spatial resolution. Remote sensing h...
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| Autores principales: | , , |
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| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2022
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| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/83785 |
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| Sumario: | The chapter describes the possibilities of collecting digital data on crop and livestock production and their use in “smart farming” systems. Earth drone and spectral mobile mapping technologies can provide plant production-related measures with high temporal and spatial resolution. Remote sensing helps better understand farming patterns and crop management. Improving understanding of the link between remotely sensed data and risk assessment and management in “smart farming” is very important. Controlled-environment agriculture takes advantage of light recipes, related to spectral light-emitting diode (LEDs) and sensors. In livestock farming, analyzing a database of digital data on the environment and livestock individuals can help farmers make decisions better. The heterogeneous digital data from plant and livestock production are collected into a Data Lake. Then the data are processed to transform the data into the proper format for data analytics. Data Warehouse should be integrated into an ERP system that is dedicated to the agricultural environment. |
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| ISBN: | 978-1-80356-689-4 |
| DOI: | 10.5772/intechopen.106320 |