Organic production, as a sustainable food production system, is designed to implement all agroecological principles that enable the preservation of human and animal health, environmental protection, and positive impact on society and the ecosystem while achieving significant economic benefits. Demand for organic food products is constantly growing, and the land area under organic production is continuously increasing. The problem in this sector is that producers of organic products face many administrative and systemic obstacles that prevent the faster development of this sector. On the other hand, consumers do not have complete confidence in the current mechanisms of control of organic production, so in the sale on the food markets and in the rest of the market, fake and unverified organic products can be found. Based on sensor data from the production field, this paper presents the SAFE platform as a solution for the described problem. The data necessary for producers to carry out the certification process are harmonized with the current legislation for organic food production. The SAFE platform uses blockchain technology to secure data consistency and history since it makes it impossible to change data history. The results of a survey about the SAFE platform are presented. The proposed solution stimulates the development and improvement of agricultural production by organic production methods, accompanied by increasing capacity in organic production.

Post-ripening fruits need to be ripened to reach edible conditions, as they are not yet mature enough when picked. Ripening technology is based mainly on temperature control and gas regulation, with the proportion of ethylene being one of the key gas regulation parameters. A sensor’s time domain response characteristic curve was obtained through the ethylene monitoring system. The first experiment showed that the sensor has good response speed (maximum of first derivative: 2.01714; minimum of first derivative: −2.01714), stability (xg: 2.42%; trec: 2.05%; Dres: 3.28%), and repeatability (xg: 20.6; trec: 52.4; Dres: 2.31). The second experiment showed that optimal ripening parameters include color, hardness (Change Ⅰ: 88.53%, Change Ⅱ: 75.28%), adhesiveness (Change Ⅰ: 95.29%, Change Ⅱ: 74.72%), and chewiness (Change Ⅰ: 95.18%, Change Ⅱ: 74.25%), verifying the response characteristics of the sensor. This paper proves that the sensor was able to accurately monitor changes in concentration which reflect changes in fruit ripeness, and that the optimal parameters were the ethylene response parameter (Change Ⅰ: 27.78%, Change Ⅱ: 32.53%) and the first derivative parameter (Change Ⅰ: 202.38%, Change Ⅱ: −293.28%). Developing a gas-sensing technology suitable for fruit ripening is of great significance.

Augmented Reality (AR) is a way of looking at the real environment in which the computer-generated environment is located. The use of augmented reality changes the way we interact with the real environment. In the past few years, with the development of technology, augmented reality is gaining in importance and becoming closer to everyday users. Many companies such as Google, Sony, HTC and Samsung are investing heavily in the development of this field. Augmented reality is finding usage in various areas such as entertainment, marketing, navigation, surveillance, system maintenance, and user training. The purpose of this paper is to present the possibilities of using augmented reality systems for the needs of self-service automated systems.

This paper aims to improve a low-cost modular control device based on the IoT concept by integrating long-range LoRa communication technology. The LoRa communication technology enables the use of a modular control device in areas without implemented Internet and Wi Fi infrastructure.