A Solution for Sustainable Food and Nutritional Security
Buch, Englisch, 643 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1144 g
ISBN: 978-3-031-43547-8
Verlag: Springer International Publishing
For these reasons, innovative technologies are being introduced in modern agriculture to sustain food production. They include digital and geospatial technologies to manage soil, climate and plant genetic resources. With the development of tools and sensors integrated into the internet of things (IoT) environment, physically collected information is converted into computer-readable language. Digital innovations thus allow real-time analysis, machine learning, and artificial intelligence (AI) that manage massive amount of data, also known as big data. Accordingly, digital agriculture affords greater potential for sustainable farming and economic benefits.
This book summarizes the latest advances in AI-integration of agriculture practices. Specific focus includes but not limited to, big data, yield mapping, pests management, and optimal fertigation. As such, it presents a forward-looking approach to meet multiple UN Sustainable Development Goals, specifically, SDG 2, 6, 13 and 15.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
- Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie
- Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Ökotrophologie (Ernährungs- und Haushaltswissenschaften)
- Naturwissenschaften Chemie Analytische Chemie Umweltchemie, Lebensmittelchemie
- Naturwissenschaften Agrarwissenschaften Agrarwissenschaften
- Naturwissenschaften Biowissenschaften Botanik
- Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Lebensmitteltechnologie und Getränketechnologie
Weitere Infos & Material
1. Digital Agriculture for the years to come.- 2. Agriculture and food security in the era of climate change.- Part. 1 Vertical farming and nurseries (both controlled and uncontrolled environments).- 3. Soilless smart agriculture systems for future climate.- 4. Intelligent Nutrient Controlling System for Precision Urban Agriculture.- 5. Vertical farming of Medicinal plants.- 6. Vertical farms in future cities.- Part. 2 IoT (internet of things) in agriculture for improved farm use efficiency, plant and soil management.- 7. Remote sensing in Precision Agriculture.- 8. Sensing Climate Change through Earth Observation: Perspectives at Global and National level.- 9. Satellite-based remote sensing approaches for estimating evapotranspiration from agricultural systems.- 10. Satellite imagery in precision agriculture.- 11. Applications of UAVs: Image-based Plant Phenotyping.- 12. Digital yield predictions.- Part. 3 Digital agriculture: roles in genetic conservation, speed breeding/fast forward breeding.- 13. Crop phenomics and high-throughput phenotyping.- 14. Speed Breeding for crop improvement.- 15. Digital agriculture for enhancing yield, nutrition and biological stress resistance.- 16. Plant-based Electrical Impedance Spectroscopy for plant health monitoring.- 17. Data analytics in agriculture/ Data science and artificial intelligence.- Part 4. Precision agriculture technologies.- 18. Sensing systems for Precision agriculture.- 19. Applications of Robotics in Agriculture.- 20. Analysing data from open sources to manage risks in food production.- 21. Crop modelling for future climate change adaptation.