Farm Smart

Farm Smart enables constant monitoring of your crops using data from weather stations, pest-catching camera traps and specially developed disease and phenological models of pest development, allowing you to determine the optimal dates of control treatments for selected pests.

Disease and pest monitoring

Disease monitoring
– how does it work?

Data from the weather station sensors, e.g. air temperature, soil temperature, relative air humidity, amount of rainfall and the time of wetting the “artificial leaf” surface, are collected on the Farm Smart platform to then generate alerts, warning about the possibility of a threat.

The system of disease models allows for a precise determination of the risk of disease infection of a given pathogen for many species of horticultural and agricultural plants.

Pest monitoring
– how does it work?

Pest monitoring carried out with the use of specialised camera traps allows to determine the number and dynamics of the occurrence of individual species in selected locations. Based on the photos sent, the system automatically marks and counts adult specimens, allowing to forecast the development of selected pests and indicate the appropriate dates for control treatments.

Meteorological Data

Access to current and historical data from the nearest weather station.  The system displays data from each sensor that has been connected to the station, including air temperature and soil temperature, relative air humidity, amount of rainfall, leaf wetness time, as well as other parameters such as the Delta T indicator, which refers to water evaporation rate and is one of the main parameters determining the optimal conditions during spraying.

Weather Forecast

7-day weather forecast meteogram:
  • Air temperature
  • Precipitation probability
  • Relative humidity
  • Spray window – indicating the optimal conditions for protective treatments
  • Eto (evapotranspiration) coefficient – all processes related to the outflow of water evaporating from the soil surface (evaporation) covered with vegetation (transpiration) to the atmosphere
  • Cloud cover Wind speed and direction

Disease infection forecasting

PWe forecast the possibility of the occurrence of disease infections in the following days.

An innovative prediction system which, on the basis of developed disease models and detailed weather forecasts, predicts the possibility of a disease infection several days in advance. This feature allows for better management and planning of future treatments.

Field manager

Crop Management

The system allows you to define crops on each plot and to record all treatments carried out in a given field.

Field card

Possibility of collecting all information about a given tillage area. The system allows you to define multiple field cards in one season, which is helpful when you have several different tillage areas with a short growing season within the same field. When defining a tillage area, you can specify the type of crop, additional crop, catch crops, and whether it is organic or conventional. Based on this information, the system automatically suggests e.g. plant protection products registered for this tillage area, etc. The field card has a defined start date and an expected end date, on the basis of which it is possible to assign treatments to specific field cards, also automatically using Tracky and mID devices.

Treatments

Possibility of recording all agrotechnical procedures, from cultivation and sowing or planting all the way through to harvesting. For each treatment, it is possible to assign the materials used, such as plant protection products, fertilisers or seeds.

Fertiliser calculator and CO2 carbon dioxide calculator2

The fertiliser calculator takes into account the nutritional requirements of crops and other factors that influence the fertilisation needs, i.e.: species, development phase of the cultivated plant, climatic and soil conditions, method of cultivation, and the place of the plant in crop rotation. It is developed on the basis of both organic and mineral fertilisers for conventional and organic farming systems. The fertilisation needs are calculated for the pure component, respectively for P2O5, K20, Mg, S, Ca. The result is given in kg/ha.
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Projekt zrealizowany w konsorcjum o nazwie: GRUPA OPERACYJNA: PRECYZYJNE OGRODNICTWO, którą tworzą: Agro Smart Lab (lider konsorcjum), Uniwersytet Rolniczy w Krakowie oraz Agrosan.

„Europejski Fundusz Rolny na rzecz Rozwoju Obszarów Wiejskich: Europa Inwestująca w obszary wiejskie”

Agro Smart Lab sp. z o.o., Niegardów 26, 32-104 Koniusza, www.farmsmart.pl