точне землеробство

Accuracy of Gps and Rtk Navigation and Their Impact on Reducing Overlaps and Losses During Field Operations

Purpose. The article is devoted to the analysis of the accuracy of GPS and RTK navigation and to the assessment of their impact on reducing overlaps, skips, and technological losses during field operations within precision agriculture systems. The main purpose of the study is to determine the role of different levels of satellite navigation accuracy in improving the efficiency of agricultural operations, reducing resource consumption, and increasing crop yields. Methods.

Method for Generating Routes of Agricultural Machinery Based on Digital Field Maps

The paper presents an approach to generating routes for agricultural machinery based on digital field maps using QGIS software and satellite navigation technologies. The proposed algorithm includes the following steps: preparing input data, converting field boundaries to a metric projection, creating a rectangular grid with a step equal to the working width of the implement, generating cell centroids, assigning them ordered route indices, and building a continuous trajectory of machine passes. To improve practical usability, line geometry smoothing reduces the number of sharp turns.

Comparison of the Use of Commercial and Open Satellite Data for Precision Agriculture

Purpose. The study focuses on a comparative assessment of the capabilities of open satellite data from the Sentinel missions and high-resolution commercial systems Planet, SkySat, and WorldView in addressing key tasks of precision agriculture. The main objective is to determine the differences in spatial, spectral, radiometric, and temporal informativeness between these types of satellite data, as well as to evaluate the economic feasibility of their use in agricultural production.

Assessment of Crop Condition Using Vegetation Indices Ndvi and Evi Based on Sentinel-2 Satellite Data – Two Case Studies

Objective. The study aims to assess the condition of agricultural crops using Sentinel-2 satellite imagery for two groups of agricultural plots located in the Lviv and Ternopil regions. The primary goal is to determine the spatio- temporal dynamics of vegetation indices NDVI (Normalized Difference Vegetation Index) and EVI (Enhanced Vegetation Index), which enables the identification of stressed vegetation zones and the general health level of crops throughout the growing season. Methods.