Vesna Radojčić, Aleksandar Sandro Cvetković

University Sinergija, Raje Banjičića bb, 76300 Bijeljina, vradojcic@sinergija.edu.ba 

REVIEW SCIENTIFIC PAPER

ISSN 2637-2150
e-ISSN 2637-2614
UDC 007.52:631.115.7
DOI 10.7251/STED2305044R

Paper Submited: 15.03.2023.
Paper Accepted: 17.04.2023.
Paper Published: 29.05.2023.
http://stedj-univerzitetpim.com

Corresponding Author:

Vesna Radojcic, University Sinergija, Raje Banjičića bb, 76300 Bijeljina, vradojcic@sinergija.edu.ba

Copyright © 2022 Vesna Radojcic & Aleksandar Sandro Cvetkovic; published by UNIVERSITY PIM. This work licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 4.

ABSTRACT

Precision agriculture is becoming increasingly important in modern agriculture as it allows farmers to optimize production and increase yields. This includes the use of sensors and technologies to collect and analyze data on soil, crops, weather, and other relevant factors. However, existing technology still has limitations such as accuracy and coverage over large areas. In order to solve this, new sensors and technologies are being developed, especially those based on artificial intelligence and machine learning, which allow for greater accuracy in data collection. In addition, new technologies such as drones and satellite imagery are being used to map crops and optimize agricultural production. This paper analyzes some of the latest developments in precision agriculture, providing insight into the future development and application of this technology. This work is particularly relevant to farmers, researchers, and companies involved in the development of sensors and technologies for precision agriculture.

Keywords: Technology, sensors, machine learning, artificial intelligence, agriculture.