Poster + Paper
6 June 2024 Advanced crop monitoring: incorporating the Kalman filter into modern agriculture
Author Affiliations +
Conference Poster
Abstract
This paper investigates the integration of Kalman Filter technologies into modern agricultural practices, with a focus on advancing crop monitoring techniques. Through a comprehensive bibliometric and text mining analysis, we explore the evolution of research in this area from 1983 to 2023, highlighting the steady growth in scholarly publications and the interdisciplinary nature of the field. Our findings reveal a significant interest in leveraging Kalman Filter algorithms to enhance the precision and efficiency of agricultural operations, addressing the challenges of sustainability and food security. The study underscores the importance of data assimilation, real-time monitoring, and predictive analysis in agriculture, facilitated by the adoption of Kalman Filter and its variants. We also examine the integration of emerging technologies, such as Unmanned Aerial Vehicles (UAVs) and remote sensing, with Kalman Filter techniques to develop sophisticated agricultural monitoring systems. The paper concludes with insights into future research directions, emphasizing the need for overcoming barriers to technology adoption and fostering interdisciplinary collaborations. This work contributes to the understanding of how computational intelligence can transform agricultural practices, offering solutions for more sustainable and efficient farming.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Khaled Obaideen, Yousuf Faroukh, Talal Bonny, Mohammad Al-Shabi, and Ahmad Alobaid "Advanced crop monitoring: incorporating the Kalman filter into modern agriculture", Proc. SPIE 13060, Sensing for Agriculture and Food Quality and Safety XVI, 130600J (6 June 2024); https://doi.org/10.1117/12.3013851
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KEYWORDS
Signal filtering

Agriculture

Crop monitoring

Internet of things

Tunable filters

Analytical research

Sustainability

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