Abstract

The paper depicts sensors in precision agriculture. It encompasses the most significant and frequently used sensors in agriculture. Furthermore, the paper explains the main sensor types according to their design, the recorded range of electromagnetic spectrum, as well as the way of detection, recording, measuring, and representation of the detected energy. The development of remote research has provided deeper understanding of remote sensors and their advantages. The sensors installed on soil testing equipment, fertilizing and crop protection machinery, as well as crop picking machinery have been analyzed relative to precision farming. The paper depicts widely known sensors OptRx, ISARIA and VRT technology. The results of the paper assess the data collected by sensors and processed in order to produce maps for agrotechnical operations. The application of maps decreases the employment of human resources, heightens the capacity of data collection, increases the precision of agricultural activities, and finally results in decreasing the cost of final products. The technological progress over the past decade has enabled the development of technology with variable application standards (VRT) that, according to current needs, enables input optimization.

Highlights

  • The basic aim of precision agriculture is to increase the quantity of accurate real-time data that can be deployed by farmers for decision making [1, 2]

  • The processed data facilitate the creation of various types of maps for further use in agrotechnical operations

  • 4 CONCLUSIONS In addition to the navigation system, precision agriculture requires the support of other systems to be completely functional

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Summary

INTRODUCTION

The basic aim of precision agriculture is to increase the quantity of accurate real-time data that can be deployed by farmers for decision making [1, 2]. The contemporary agriculture machinery is already equipped with sophisticated technology so the machine operator can get a direct and prompt insight into the farming area, monitor plant development and assess soil conditions [10]. The application of various sensors establishes and records the real- time parameters of production processes. Using modern sensors it can causes of operational efficiency as well as inefficiency can be accurately determined [12, 13]. The application of sensors in agricultural machinery, i.e. the use of machine vision, provides numerous information on soil. The authors [21, 22] state that sensors are part of key technologies that increase the overall productivity, such as GIS and GPS

DIFFERENT SENSORS SYSTEMS
RESULTS AND DISCUSSION
CONCLUSIONS
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