Edycja projektu EPI

Details of the project EPI

Development and implementation of technology to diagnose the nutritional status of cereal crops with nitrogen and phosphorus using using satellite data.

01-09-2022 do 07-11-2024

4 191 590,30

EFRROW; national public funds; own funds

www.transcend.city/agronauts

The goal of the operation is to create a digital tool for farmers that allows for non-invasive, remote detection of phosphorus and nitrogen deficiencies. Information on the nutritional status with respect to phosphorus and nitrogen will be calculated based on satellite data, using technology developed as part of the research component. Information on detected deficiencies, along with a recommended interventional fertilization plan, will be available to farmers on internet-connected devices through an application developed as part of the development work. Proper use of the information provided will eliminate crop problems resulting from deficiencies of elements in the soil and support the sale of agricultural products.

The operation consists of research and development work, culminating in the pilot implementation to validate the developed technology. The work involves three stages: Stage 1 - Procurement of dedicated software for the needs of the operation (WNiP). Stage 2 - Research into the development and automation of the use of diagnostic-recommendation models for digital tools, as well as qualitative research on the needs of the agricultural ecosystem. Stage 3 - Examination and validation of the flexibility of diagnostic-recommendation models, their correction, and qualitative analysis of the identified needs.

The universal need of agriculture worldwide is to determine the proper, balanced doses of nitrogen, phosphorus, and potassium (NPK) in fertilizers given for specific types of crops, and then apply them at the time of highest demand. The use of an improper mixture, and therefore the application of too little or too much of the components, can quickly lead to a decrease in crop yield and quality, as well as the degradation of the associated natural environment. In current practice, the amount and composition of fertilizers applied are most often determined "by eye," based on the farmer's experience, and in the case of more aware producers, based on information obtained from laboratory physicochemical analysis of soil, substrate, and plants. This approach provides important information but generates the following problems: > sampling has an invasive, destructive nature for crops, > research can only be carried out pointwise, > the cost of obtaining and

The implementation of a digital tool will have an impact on the economic, organizational, and environmental aspects of farming. 1. Economic aspect - online access to current information on phosphorus and nitrogen deficiencies will allow farmers to react in a timely manner and replenish nutrient deficiencies. It will also enable them to plan future crops based on the acquired data, resulting in better quality and yield of crops, as well as an increase in their commercial value. Additionally, it will be possible to reduce production costs by precisely selecting the composition and amount of fertilizers that are adapted to the current crop situation. 2. Organizational aspect - monitoring phosphorus and nitrogen levels will allow for quick intervention if necessary, and fertilizer recommendations will facilitate the process of preparing for such interventions. The application will store field history, and the ability to share this data remotely, for example with an advisor, wil

The main benefits resulting from the project for the farmer: > A cost-effective way to obtain a production recommendation that maximizes yield in an environmentally safe manner. Specific effects of the actions taken: > Development of a research model for detecting demand for phosphorus > Development of a crop recommendation model > Development of computational software with an API interface for automatic data acquisition and processing based on implemented mathematical models, along with a machine learning-based validator, > Development and implementation of an online application for end users Implementations: > Implementation of research results in the form of an effective digital tool > Implementation of an online application for end users > Implementation of a marketing component in the application for farmers > Pilot implementation validating the operation of the digital tool Products: > Online application for end users with a marketing component > Educational publications for farmers in the field of operations Ultimately, the operation results will be: > An international innovation consisting of the creation of technology for remote marking of phosphorus and nitrogen deficiencies in cereals based on satellite data.

fertilization and nutrients