How to save money on seeds and pesticides, and contribute to the new app

We want to make web tools for differentiated application of seeds and pesticides, therefore we need to test our hypotheses and collect data. We have already conducted some experiments: for instance, when our team was developing a variable rate app for nitrogen fertilizers, we conducted trials on more than 10 thousand hectares. When we were developing the web tool for the differentiated application of phosporus and potassium fertilizers, we cooperated with dozens of agricultural companies. Collaboration with farmers is a good way to test hypotheses and collect valid data.

Yes, if you have agricultural equipment with onboard computers for differentiated application of seeds and pesticides, and a combine equipped with a yield monitor. Also, you need to allocate the fields in the OneSoil web platform so our specialists could analyze them. Any type of field is interesting for us, though the ideal one is over 50 hectares with high variability of yield productivity.

If you don't have an account in the OneSoil web platform yet, don't get upset – you only need 5 minutes to register and allocate the fields. For tips on how to do it, please read this article.

Quick analysis. Within 5 days we'll do analysis of your fields. Using satellite imagery, we will determine the zones of relative productivity, estimate its dependence on the relief and determine the relative content of humus in different field zones.

Deep analysis. The accuracy of the analysis affects the results of the whole experiment, and hence the correctness of the web applications.

Personal recommendations. We will make recommendations for your fields both at the beginning and at the end of the season.

Minimal efforts from your side. We will create maps of your fields and task files for your onboard computers.

Tech support. During the whole trial, our specialists are ready to answer your questions.

We don't charge you anything. For comparison, if you were to order similiar analysis from a commercial company, it would cost upwards of $ 4 per hectare.

This is our founding principle: we make free tools for farmers and earn money by providing services to large companies. All our applications and the web platform are also free. For more on how it works, please read this article.

Our team of GIS and precision agriculture, agronomy and agrochemistry specialists. The process will be led by Usevalad Henin, a specialist in GIS and agricultural chemistry, and Philip Kondratenko, an agronomist. Usevalad has been conducting field experiments, analyzing data from farmers, and developing tools for precision farming for the last 8 years. Philip has worked as an agronomist for over 7 years. We also cooperate with specialized Belarussian research and scientific organizations, and in difficult cases ask them to help with data interpretation.

For crops that are branching/bushing (wheat, barley, canola, soybean, etc.) We assume it is necessary to increase seeding in low yield zones, so more productive stems can be formed. In high yield zones, the seeding rate should be decreased to prevent the competition between plants for nutrition.

For all other crops. We assume it is necessary to lower the seeding rate in low yield zones so that the plants do not compete with each other for nutritional elements. Accordingly, the seeding rate should be increased in high yield zones.

For soil herbicides. We assume that the optimal rate of soil herbicides depends on the amount of organic matter in the soil. Using satellite images, we can estimate the relative content of humus in different parts of the field — the darker the soil on the images, the more organic matter it contains. We assume that the higher the humus level, the more herbicides should be applied, and vice versa.

For growth regulators. We assume that the variable rate of growth regulators application can be determined by the vegetation index. The higher the index, the more plants there are. In such zones, the amount of growth regulators should be increased, and vice versa.

For pre-harvest herbicides. We assume that the variable rate of desiccants application can be determined by the vegetation index. With the help of satellite images, we can find areas with a high index where the plants grow densely; these areas need pre-harvest herbicides the most. The opposite applies to zones where plants density is lower.