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Meteotrack Soil

Development of innovative artificial intelligence (AI) and machine learning (ML) algorithms for determining spatial soil moisture forecasts, along with recommendations for agrotechnical treatments.

Meteotrack Soil Project

Project FENG.01.01-IP.02-2860/23

Project Tasks

The Meteotrack project involves the implementation of key activities aimed at developing an innovative system for monitoring and forecasting weather conditions, particularly crucial for the agricultural sector. The project includes the development of an advanced meteorological data analysis algorithm, the integration of measurement sensors with an IoT network, and the creation of an intuitive digital platform for users. Activities will focus on the installation and calibration of measurement devices, the collection and processing of meteorological data, and their analysis using artificial intelligence methods. The project also includes test operations on selected agricultural fields to verify the accuracy of the forecasting model. The ultimate goal is to implement a solution that enables precise weather forecasting and assesses its impact on crops, allowing farmers to optimize their activities and minimize losses caused by adverse weather conditions.

Target Groups

The Meteotrack project is aimed at a wide range of users in the agricultural sector, including individual farmers, large-scale farms, and agro-industrial enterprises. The key target group consists of agricultural producers who rely on precise weather forecasts for decision-making regarding sowing, fertilization, and crop protection. Advisory companies in the agricultural sector will also benefit from the solution, as access to advanced meteorological data will enable them to provide better support to their clients. The project also addresses the needs of research institutions and agricultural universities, which can use Meteotrack data to study the impact of climate on crop production. Additionally, the platform will be valuable for insurance institutions, allowing them to assess agricultural risks more accurately using historical data and forecasts. Overall, the project promotes innovation in agriculture by providing cutting-edge technological solutions.

Project Goal

The goal of the Meteotrack project is to develop and implement an innovative weather monitoring and forecasting system tailored for the agricultural sector. The system aims to support farmers in making precise crop management decisions by providing accurate forecasts and analyses of weather conditions' impact on yields. The project seeks to enhance agricultural productivity, minimize losses caused by adverse weather conditions, and promote sustainable farming through improved resource management.

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Project Outcomes

The Meteotrack project will result in the development of an innovative weather monitoring and forecasting system that provides precise meteorological data and analyses for the agricultural sector. The key outcome will be the improvement of agricultural production efficiency by optimizing agrotechnical activities, such as sowing, fertilization, and crop protection, based on accurate forecasts. The project will also help minimize losses caused by adverse weather conditions, supporting farmers in risk management. An intuitive digital platform will be created, integrating data from IoT sensors and advanced artificial intelligence algorithms, enabling real-time access to analyses. Additionally, the project will enhance sustainability in agriculture by promoting better use of natural resources. Meteotrack will contribute to increasing the competitiveness of system users and strengthening innovation in the agro sector in Poland.

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Project Value and Funding

Total Project Cost: 7,178,075.00 PLN

Eligible Expenditures: 6,920,475.00 PLN

Grant Funding: 5,285,161.00 PLN

#EUFunds

Avoid crop losses and increase your yields with effective weather forecasts and weather window recommendations. MeteoTrack Agro has the best data sources - including directly from your field!

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Phone: +48 664 453 018

Mail: office@getmeteotrack.com

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