\section{Literature Review}
\par Capturing field conditions has been a shared goal of both local farmers and government agencies for a long time. This objective has been pursued through various community initiatives and even military projects. According to \cite{TDR}, technologies such as LiDAR and thermal infrared remote sensing have played a key role in these efforts.They typically rely on remote sensing platform such as satellite or aerial imaging which often involve advanced machine learning models. At large scale, they are designed to support precision agriculture by common tasks such as optimizing irrigation, fertilizer and pesticide application, and crop monitoring.

\par On macroeconomic level, these technologies aims to improve overall crop yield. Image capturing and digital image processing are heavily utilized, as they allow for visual crop assessments that can inform better crop care. But, there are significant assumptions built into these systems. Because they operate at a large scale, they often lack on-the-ground sensing, which limits real-time processing capabilities. As a result, farmers must rely on broader spatial and temporal insights typically provided by environmental agencies or state-level data. In practice, deploying and automating these systems often requires substantial time, infrastructure, and support from third-party organizations.

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\par Recently, there are communities, vendors and organization have been push to promote device to device communication. Especially over wireless medium, giving potential of large scale deployment of this devices. Vendors try to feature their devices as close system, where it doesn't involve external entity to operate. It also comes from the sentiment where farmers prefer to operate and maintain these devices. According to \cite{dect2023}, journal mentions, "The adoption of standards like DECT NR+ has been pivotal in enabling large-scale IoT deployments. This standard allows devices to form decentralized, self-healing mesh networks without relying on centralized infrastructure, thereby reducing operational costs and extending network lifespans. " This seems to be a new norm for class of wireless communication.


\par In \cite{iotforall2021}, author explains that integrating mobile applications into an IoT system can be problematic. Issues such as outdated app versions and mobile operating systems can lead to failures, as maintaining compatibility across various devices and OS versions is complex and resource-intensive. Developers struggle among OS platforms, to guarantee that the system will provide users with optimal performance, reliability, and user experience; and will of course be even more complex among multiple versions of older operating system versions. 

\par In \cite{pixelfree2021} journal, Web-based applications will tend to offer reliability and backward compatibility; in that they not only provide access through a web browser and eliminate some dependencies on device-specific configurations (and operating systems) for application functionality, deployment, and reliability. All of which are critical, to ensure continued user experience across all configured devices. 
\par Therefore, in developing an IoT system it will likely be beneficial to adopt web applications, in lieu of mobile applications, as developers and vendors are battling some of the challenges of mobile app deployment and reliability while providing a better user experience, for the farmer as an end user.