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Project Description

The GPPS (GrainPatrol Premium System) – Stored agricultural product monitoring system – hereinafter GPPS – is a software-hardware system designed to provide a complex solution for supporting quality preservation processes after the storage of agricultural products. The project specifically expands in two directions: First direction: In widely used agricultural flat storage facilities, where large quantities of dried grain are stored, a known problem is the formation of high-temperature hotspots, which can arise due to improper drying of the grain or unfavorable external conditions, and are very harmful to grain quality as they can catalyze decomposition processes and promote the appearance of pests. To avoid these situations, farmers measure the temperature of the grain during storage by placing wired temperature sensors in the grain at the time of storage or by occasional probing to determine the need for grain aeration. These solutions do not provide easy and simple installation or adequate accuracy and reliability. To address this, we aim to implement temperature/humidity measurement and data collection using GPPS EcoSteel, GPPS Node(Bush)+Temp/TempHumSensorCable, GPPS Base, and GPPS AirVentSign devices. With cloud-based processing of this data, we can properly inform the user about the direction of the process and support timely decision-making, as well as enable on/off control signals for aeration machines if the infrastructure is properly established. Second direction: During the fermentation-based preservation of widely used crops, the production of silage types presents the problem of improper biological processes, where temperature changes and especially pH changes during fermentation entirely influence the quality and long-term storability of the silage. If these parameters change in an unfavorable direction – which can occur over a few hours or even more than 10–30 days – and are detected in time, these processes can still be modified by introducing various additives. Until now, these parameters have been determined by occasional probing, which does not always provide timely forecasts for intervention decisions. To address this, we aim to implement temperature/humidity measurement and data collection using GPPS Silage, GPPS Node(Bush)+Temp/TempHumSensorCable, and GPPS Base devices. With cloud-based processing of this data, we can properly inform the user about the direction of the process and support timely decision-making. Additionally, we aim to implement pH and temperature measurement and data collection using GPPS pHSensor and GPPS Base devices. With cloud-based processing of this data, we can properly inform the user about the direction of the process and support timely decision-making.