Edycja projektu EPI

Details of the project EPI

Name of EPI Operational Group

Project title

Scan Spectrum - innovation in Polish agriculture

Project type

Category

Main geografical location

Main location of projct implemntation (NUTS3)

Additional location of projct implemntation (NUTS3)

Okres realizacji projektu od

01-01-2023 do 31-12-2024

Total budget (PLN)

6 642 692,78

Main funding source

EFRROW; national public funds; own funds; loan

Website

https://scanspectrum.qed.ai/iwpr/

Obiective of the project

The purpose of the operation is to develop improved organizational and technological innovations in the field of plant research and translation of the results into precision in the use of fertilizers and optimization of the plant development environment. The operation will produce a measuring device that will collect data on plant nitrogen abundance, plant moisture and stress index based on spectrophotometry technique. A solution will be produced that will allow automatic generation of maps for precise fertilization on the basis of the corrected nitrogen demand index of plants. In addition, with the help of the innovation, it will be possible to collect data such as plant moisture and the amount of dry matter, allowing to determine the optimal date for harvesting corn for silage.

Description of project activities

The project will be carried out in 5 stages. Each member of the consortium will carry out a series of activities leading to the creation of innovations as a result of research and development work. The main tasks will include support for plant sampling and subsequent analysis, conducting appropriate agrotechnology and internal cooperation, as well as the purchase of the necessary equipment and machinery to carry out the operation. The consortium members undertake to implement the project in accordance with its methodology and objectives.

Description of the context of operations

The need for the implementation of the operation is justified by the results of scientific research within the meaning of Article 4. Paragraph 2 of the Law of July 20, 2018 Law on Higher Education and Science. Scientific research clearly indicates the need for solutions to determine the supply of nutrients to plants, which makes it possible to adjust the agrotechnical treatments carried out to the current needs of crops and, as a result, achieve optimal yields. In this regard, the ability to determine the abundance of nitrogen in the plant under study is crucial, in addition to determining the amount of water in the plant and the potential occurrence of stresses in the plant. The implementation of equipment with specific analytical capabilities can have a significant impact on reducing pollution caused by unabsorbed excess nutrients used in fertilizers. The measurements obtained will be able to be used to create maps used for precise fertilization.
The planned operation is very much i

The need for the implementation of the operation is justified by the results of scientific research within the meaning of Article 4. Paragraph 2 of the Law of July 20, 2018 Law on Higher Education and Science. Scientific research clearly indicates the need for solutions to determine the supply of nutrients to plants, which makes it possible to adjust the agrotechnical treatments carried out to the current needs of crops and, as a result, achieve optimal yields. In this regard, the ability to determine the abundance of nitrogen in the plant under study is crucial, in addition to determining the amount of water in the plant and the potential occurrence of stresses in the plant. The implementation of equipment with specific analytical capabilities can have a significant impact on reducing pollution caused by unabsorbed excess nutrients used in fertilizers. The measurements obtained will be able to be used to create maps used for precise fertilization. The planned operation is very much i

Additional comments

As a result of the research, algorithms will be developed to significantly improve the efficiency of precision agriculture. The algorithms will make it possible to create fertilization maps and control the amount of dry matter in corn. They can be used in decision support systems or ERP systems used on large farms. In addition to their scientific value, the algorithms can be used in many private entities. In the face of tightening fertilizer policies, they will positively influence the reduction of nitrogen fertilizers used. The algorithms will also affect the quality of forage produced on farms by allowing the timing of corn harvest to be determined based on dry matter content. The assumptions will have a positive impact on the economic ranges of the farm, due to the reduction of costs associated with selecting the appropriate amount of fertilizer used to fertilize the crop, and will assist farms producing corn silage. The application will be designed to assist the user in deciding w

The main benefits of the project

The operation is expected to result in the implementation of improved innovations in technology, and methods of organization. The main benefit of the operation will be the ability for agricultural producers to use maps for precision fertilization. Producers will also be able to manage processes related to corn silage production with a digital approach. The main benefits for end users are reduced production costs, reduced management costs, reduced environmental costs (fertilizer use and greenhouse gas emissions) and increased marketing positioning. The totality of these activities translates into increased levels of innovation in the agricultural industry in Poland and increased levels of environmental protection and climate change mitigation.

Practice summary on final or expected results

Implementation of the operation will culminate in the development of a practical digital solution that can be successfully applied by the farmer. Digitization of agricultural processes carries the potential to increase farm productivity, while affecting the sustainability of the agricultural sector both economically and ecologically. They are based on data sets that are processed for the purposes required on the farm. The operation includes the creation of a measuring device to read the nitrogen index corrected for the plant's stress index and moisture level. On the basis of the index, it will be possible to create precise maps that the farmer will be able to use when implementing precise agrotechnical measures. This will be a digital solution that will allow the farmer, among other things, to apply the optimal dose of fertilizer. The measuring apparatus that is the subject of the operation will make it possible to determine the optimal date for harvesting corn for silage.to-use and familiar elements. Therefore, special attention will be paid to the field of user experience (UX). Thanks to the use of digital form, the data will be mobile and the costs of implementation on the farm will be low. The use of a digital solution in the form of maps will allow the farmer using it to optimize the use of fertilizers and maximize yields while maintaining high quality products. The use of the optimal dose of fertilizer will translate directly into the economic result of farms.r plant moisture data, among other things. As a result, the farmer will have precise plant nutrition data in the form of a map. By using a digital solution to support the process of managing the corn silage harvest, the farmer will be able to achieve greater benefits in yield efficiency as well as protein content of the silage feedstock, which will affect the profitability of the crop.

Results archived

Aditional information about the project

Keywords

fertilization and nutrients