📚 Volume 33, Issue 11
📋 ID: f9qPZQy
Authors
Liam Müller, Aisha Patel, Kenji Nakamura
University of Coimbra, Coimbra, Portugal; Baku State University, Baku, Azerbaijan; Cheikh Anta Diop University, Dakar, Senegal
Keywords
precision agriculture
crop yield optimization
remote sensing
soil sensors
agro-climatic zones
sustainable farming
Abstract
The increasing demand for food production necessitates the application of advanced agricultural technologies to optimize crop yields sustainably. This study investigates the integration of precision agriculture techniques to enhance crop production across varied agro-climatic zones. The primary objective is to evaluate the effectiveness of precision farming technologies, including remote sensing, soil sensors, and data analytics, in improving crop yield and resource management. A series of field trials were conducted in Portugal, Azerbaijan, and Senegal, representing distinct climatic conditions, to assess the applicability and impact of these technologies. The findings indicate significant improvements in yield, with a notable reduction in water and fertilizer usage. Precision agriculture techniques led to optimized planting schedules and enhanced pest management strategies. The results underscore the potential of precision agriculture to enhance food security while minimizing environmental impacts. The study concludes that adopting precision farming methods is crucial for sustainable agricultural transformation, particularly in regions facing climate variability. Future research should focus on the cost-effectiveness and scalability of these technologies to ensure broader implementation.
🔐
Login to Download PDF
Please login with your Paper ID and password to access the full PDF.
🔑 Login to Download
📝 How to Cite
Liam Müller, Aisha Patel, Kenji Nakamura (2026).
"Integrating Precision Agriculture for Sustainable Crop Yield Optimization in Diverse Agro-Climatic Conditions".
Wulfenia, 33(11).