BOOK-CHAPTER

PRECISION AGRICULTURE: ANALYSING THE USE OF ADVANCED TECHNOLOGIES, DATA ANALYTICS AND REMOTE SENSING FOR SITE-SPECIFIC CROP MANAGEMENT AND RESOURCE OPTIMIZATION

Abstract

Precision agriculture has revolutionized modern farming by integrating cutting-edge technologies, data analytics, and remote sensing to optimize crop management and resource utilization. This study explores the multifaceted application of advanced technologies in agriculture, emphasizing their role in achieving site-specific precision. The adoption of precision agriculture practices has significantly improved crop yield, minimized resource wastage, and reduced environmental impact. The integration of global positioning systems (GPS), unmanned aerial vehicles (UAVs), and sensor technology has enabled precise mapping of field variability. Remote sensing techniques, such as satellite imagery and drones, provide valuable insights into crop health, soil conditions, and environmental factors, allowing farmers to make informed decisions. Data analytics is a cornerstone of precision agriculture, as it harnesses large volumes of data generated from various sources to drive actionable insights. Machine learning and artificial intelligence algorithms are increasingly employed to predict crop growth, disease outbreaks, and pest infestations. These insights empower farmers to apply fertilizers, pesticides, and irrigation with unprecedented accuracy, reducing costs and environmental impact. Resource optimization is another key aspect of precision agriculture. By precisely tailoring inputs, such as water, nutrients, and chemicals, to the specific needs of each part of a field, farmers can ensure more sustainable and efficient use of resources. This research delves into the successful implementation of advanced technologies, data analytics, and remote sensing in precision agriculture, highlighting their collective impact on enhancing crop yields, minimizing resource wastage, and promoting sustainable farming practices. It also examines the challenges and opportunities in scaling up these technologies for broader adoption in agriculture. Ultimately, precision agriculture represents a transformative approach that promises to meet the growing global demand for food while minimizing the ecological footprint of farming

Keywords:
Precision agriculture Agriculture Analytics Computer science Resource (disambiguation) Sustainable agriculture Agricultural engineering Emerging technologies Data science Engineering Geography Artificial intelligence

Metrics

4
Cited By
7.99
FWCI (Field Weighted Citation Impact)
0
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Smart Agriculture and AI
Life Sciences →  Agricultural and Biological Sciences →  Plant Science
© 2026 ScienceGate Book Chapters — All rights reserved.