does this meet the instructions for an annotated bibliography

Annotated Bibliography Mahanta, C.K. Posty. A. K., Saha, P (2024). Application of GIS Agriculture. Advances in Agriculture Research Methodology, 2, 385-396. bttps://doiorg/10.5281/zenodo.11340751 The chapter by Mahanta, Posty. and Saha (2024) provides a comprehensive examination of the application of Geographic Information Systems (GIS) in agriculture, particularly emphasizing its role in precision farming. The authors articulate how GIS integrates with remote sensing and Global Positioning Systems (GPS) to enhance agricultural decision-making and productivity. Specific applications discussed include crop yield estimation, soil fertility assessment, and pest control management. This alignment of technology with agricultural practices is crucial for addressing food security challenges while promoting sustainable farming methods. This article effectively synthesizes existing literature on GIS applications in agriculture, utilizing a library research methodology to present a well-researched overview. However, the incorporation of empirical data or case studies demonstrating real-world outcomes could further strengthen the analysis. Such an approach would provide concrete evidence of GIS's effectiveness across diverse agricultural contexts. Overall, this chapter significantly contributes to my research on sustainable agricultural practices by elucidating how technological advancements in GIS can enhance productivity while minimizing environmental impacts. The insights provided lay a solid foundation for exploring innovative solutions in agricultural management that align with contemporary sustainability goals. Sishodia, R.P.. Ray, RK. L., Singh, 5. K. (2020). Applications of Remote Sensing in Precision Agriculture: A Review. Remote Sensing, 12(19), 3136. https://doi-org/10_3390/rs12193136 In recent years, remote sensing technologies have emerged as pivotal tools in advancing precision agriculture (PA), significantly enhancing agricultural efficiency while minimizing environmental impacts. The review by Sishodia. Ray, and Singh (2020) elucidates how the integration of high-resolution satellite imagery and cost-effective unmanned aerial vehicles (UAVs) has revolutionized crop monitoring, irrigation management, and yield prediction. These advancements enable farmers to optimize inputs such as water and fertilizers based on precise data, thus fostering sustainable agricultural practices. Moreover, the incorporation of geospatial technologies, Internet of Things (IoT), big data analytics, and artificial intelligence facilitates informed decision-making that is crucial for maximizing crop production. By providing critical insights into site-specific management strategies, remote sensing systems enhance overall productivity while reducing input losses. However, the authors emphasize that developing user-friendly systems is essential for broader adoption in commercial agriculture to fully leverage these technological advancements