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Empowering Wheat Cultivation with GIS, Digital Approaches and Artificial Intelligence

The global population is projected to exceed 9 billion by 2050, leading to imminent food shortages not only for the current but also future generations. Anticipated increases in appetite coming 50 years will pose significant challenges to food production. This demand will exert additional pressure o...

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Opis bibliograficzny
Korporacja: SpringerLink (Online service)
Kolejni autorzy: Zencirci, Nusret (Redaktor), Baloch, Faheem Shehzad (Redaktor), Gou, Jin-Ying (Redaktor), Mladenov, Velimir (Redaktor), Fragkostefanakis, Sotirios (Redaktor), da Silva Lopes, Marta (Redaktor), Habyarimana, Ephrem (Redaktor), Ulukan, Hakan (Redaktor), Kaplan Evlice, Asuman (Redaktor)
Format: Elektroniczne E-book
Język:angielski
Wydane: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Wydanie:1st ed. 2025.
Hasła przedmiotowe:
Agriculture.
Plant biotechnology.
Stress (Physiology).
Plants.
Plant genetics.
Control engineering.
Robotics.
Automation.
Plant Biotechnology.
Plant Stress Responses.
Plant Genetics.
Control, Robotics, Automation.
Dostęp online:https://doi.org/10.1007/978-3-031-99954-3
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Spis treści:
  • Securing Wheat Cultivation for Global Food Safety
  • Climate Change in Wheat (Triticum spp.) Under the Light of Remote Sensing, Digital Evolution, Artificial intelligence
  • Geographic Information Systems, Remote Sensing, Agroecosystems, Global Databases and Agricultural Planning
  • Big Data Utilisation In Wheat Genetic Resources
  • High Throughput Phenotyping in Wheat
  • Combination of High Throughput Phenotyping and Genomics in Precise Wheat Breeding
  • Predictive Modeling of Wheat Production in Turkiye: A NARX Network Approach Incorporating Climatic and Economic Factors
  • Weather Forecasting and State-of-the-art Soil Analysis in Irrigated Precision Wheat Production
  • How Low-Cost UAVs Could Revolutionize Field Research as a Substitute for Traditional Agronomic Measurements in Crop Phenotyping?
  • Perfecting Wheat Quality, Quality Analysis, and Production Processes via Digital and Artificial Intelligence Approaches
  • Infrared Sensing for Wheat Biochemical Analysis: Methods and Protocols
  • Modern Approaches to Wheat Diseases
  • Weed Management Approaches with GIS, Digital Approaches and Artificial Intelligence in Wheat Cultivation
  • Smart Farming for Sustainable Wheat Intensification.

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