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The increased use of data analytics and machine learning algorithms enables better prediction of land values based on various factors such as soil quality, climate, and historical performance by processing large datasets. The primary objective of this paper is to underscore the significance of addressing the topic concerning the evaluation process of agricultural land. Concurrently, it seeks to accentuate the interconnectedness across various domains of study, encompassing strategic management, agronomy, ecology, agricultural practices, and agricultural policies. Advanced technologies such as satellite imagery, remote sensing, and Geographic Information System (GIS) tools are being integrated for more accurate and efficient land valuation. In the present study, a retrospective and descriptive bibliometric analysis using the Web of Science platform was conducted, identifying 1,630 papers on the "valuation of agricultural land" from the year 2000 to 2023, which were then analyzed with VOSviewer and Microsoft Excel to generate visual representations of keyword frequency over time. The paper reveals a notable increase in published articles, emphasizing their relevance due to their economic and financial impact, with a focus on environmental sciences and economics, confirming the topic's importance and its association with ecosystem services, land use change, and willingness to pay. The results demonstrate that this theme is increasingly addressed by researchers. [ABSTRACT FROM AUTHOR]

Stockpile volume measurement is very important, especially in highway construction sites. Monitoring inventories, as well as keeping records of stockpiles, is one of the key elements in the success and optimizing the construction site works. Inventories in the case of construction sites are constantly changing; the raw material stored is on the one hand supplied by the suppliers and on the other hand transported and used on the site. Within this paper we aim to compare different methods of measuring and determining volumes. We also develop a workflow for UAV photogrammetric measurements and compare the volumes obtained with different specialized software. Using different software even on the same UAV data set, we obtained relatively similar results, the differences being due mainly to the different 3D modelling of the surfaces. To determine as precisely as possible highway construction sites, stockpile volumes the UAV photogrammetric method is the most precise in terms of the accuracy of the results obtained. This method also saves a lot of time on the site and is also risk free. [ABSTRACT FROM AUTHOR]