An in-house solution for the integration of multispectral photogrammetry data and IoT for potato field monitoring
Résumé
Both in Latvia, as well as in the whole Baltic Sea region, agriculture is one of the leading industries. Intensive work is underway in the field of crop research and cultivation is processed in the application with the latest data collection methods and tools. We discuss how the rapid arrival of new data collection methods based on various sensors in recent decades has significantly affected our business processes in agriculture. The use of data from remote sensing technologies has influenced workflows and data analysis methods. The key challenge is to understand what to do with this data and how to integrate data sets into each other. Smart agriculture requires correct and well-prepared data for further analysis. This study reveals specific workflow used as data preparation for potato producers for further analysis. It includes data collection processes and post-processing tasks. Data collection is a complex process involving the integration of local laws for the application of proposed technologies, weather conditions, technical issues, and human resources that should work as a single system to be able to use the provided methodology. The aim of the work is to acquaint the reader with a new methodology for seamless integration of information collected from different data sources and carrying out the necessary transformations to store them in a single environment to improve accessibility and ease of use. A platform approach to PA information processing is essential part for whole data workflow, as it is discussed in Amiri-Zarandi et al. (2022). The goal of this research is to propose a platform that utilizes design thinking to promote collaboration among various actors in a smart farming ecosystem. Furthermore, the article addresses the challenge of delivering results in a clear and understandable format to end users who may lack expertise in IT, IoT, remote sensing, and the latest data collection methods. It seeks to bridge the gap between technical complexities and non-expert users, enabling effective communication and comprehension of the findings