Enhanced Remote Field Monitoring for a Modern Day Farmer
Precise Soil Moisture Monitoring
Advanced Irrigation Management
Detailed Insight with Satellite Imagery
Farmview – New tool for remote field monitoring
A Premium Fieldclimate service
Farmview combines existing iMETOS® hardware and software and satellite data for better decision making.
Satellite imaging for next level work planning
Crop zone view for improved field management
Smart irrigation management with Irrimet
The Basics Remain Unchanged
Access to plant disease models requires seasonal license
Access to weather forecast (hourly, 3-day, 7-day forecasts and more) requires annual license
API integrations are available
Mobile access to all data and push notification on iOS and Android devices
|Overview of all sensor data|
|Device management – Sensor data and settings|
|Soil moisture module with plant available water (PAW) indication|
|Water balance (in mm)|
|CropZone management page|
|Cultivation period and plant specific setup|
|Soil moisture SUM widget|
|Irrigation planning calendar|
|Sentinel-2 satellite CropZone imagery|
|Biomass LAI charts for cloud-free historic satellite imagery for your fields|
|Fast access to full history of LAI CropZone maps|
First Farmview Module: Irrimet
Take a look at the video on this site, where we answer some of the questions related to Irrimet:
- How to use existing station data with Irrimet?
- How to learn about crop water use with Irrimet?
- How to schedule irrigation with Irrimet?
To give you a better insight into what Farmview is and what it can offer you, we have also prepared a collection of videos which show what Farmview looks like in practice.
Farmview: The Premium service in Fieldclimate
Since 2005, FieldClimate platform is an indispensable partner for the agriculture decision-making process and has been improving over the years.
Identical to the registration at Fieldclimate: FieldClimate registration.
Identical to the login at Fieldclimate: FieldClimate login
Identical to the dashboard at Fieldclimate: FieldClimate dashboard.
Additional widgets will be available for Farmview in March 2020. These will substantially ease your work with Cropzones by presenting an overview of the selected parameters per cropzone. Stay tuned.
Farmview works with so called Cropzones. Cropzone is a basic unit and represents your field or a portion of your field that is managed identically within given borders during given time . The common situation would be that an user collects multiple Cropzones per each Field and multiple Fields per Farm.
The Farmview main screen consists of three menus (Figure 1). The Navigation Bar on the left allows you to move between the dashboard, the settings and the Farmview services (so far only the Irrimet service is available, the other services will be launched during 2020). Irrimet has this icon:
The Submenu of the Navigation Bar shows the submenu for each selected icon in the main menu. For instance, it shows Daily water balance and Irrigation calendar for Irrimet. The Cropzone Menu offers an option to move between different Cropzones, adding and removing them by the ‘+’ and ‘-’ buttons at the top of the menu. It also allows you to sort Cropzones based on the Farm name, the Field name and year. Finally, User Menu allows you to access the user settings such as the language, the units and the passwords.
To start using the Farmview services, you need to define your fields. This is easily done by clicking on the Cropzone list > Add cropzone and filling in the Farm name, the Field name and the Cropzone name (Figure 2).
Farm name refers to your entire farm, while Field name describes a single field with boundaries. While the Farm and Field names stay often identical during multiple seasons or years, the Cropzone name changes as you cultivate new crops.
For a Cropzone, use a name that you can easily identify later. You can even include the year and/or the crop name directly in the Cropzone name, i.e. Nexttoroad2019 or P1_Sorghum_18. This may ease your orientation between different Cropzones in the Cropzone list.
Once you added the Cropzone, you need to define its cultivation period, the grown crop and the boundaries (Figure 3).
We provide you model outputs and maps exactly for this Cultivation period. Therefore, define the period so that it includes all your operations of interest. For annual and seasonal crops, define your season or a year. For perennial crops, make sure you define each single season in separate Cropzone as modifications from year to year are expected in the crop development. We are already now working on an option ‘Copy from’ to ease copying an existing Cropzone to a new one (available in March 2020).
Define your Crop (i.e. Apple). The crop name is used for user’s overview and has no automatic implications in the service.
Identify your Borders. Please include only single polygons. Use a polygon drawing option or import a geojson in a standard EPSG 4326 format. Do not include any holes in the polygon. If multipolygon is imported, only the first shape will be imported.
After adding and defining multiple Cropzones you can list them in the overview in the Cropzone Menu (Figure 4). Here, you are also offered to remove an existing Cropzones and filter and sort them by the Farm and Field name as well as by the year.
You can now start using your Farmview services. The first service is Irrimet.
Irrimet is the first service within Farmview. It monitors water stress within your field and supports you by scheduling irrigation events. Also, it helps you to monitor your irrigation events with the help of an interactive calendar.
Irrimet module requires sensors for:
- Air temperature
- Air humidity
- Solar radiation
- Wind speed
After you have successfully defined your cropzones, you are redirected to the irrimet setting page (Figure 5). First, you are asked to define your crop from the FAO crop type table. The default FAO crop (evapotranspiration) coefficients and the default root zone depth will be provided in the lower interactive graphic. Adjust them if needed by moving the green/red points up and down.
Next, you are asked to select the ID Number of stations that should provide data for rain and evapotranspiration for this Cropzone. Stations within a 10 km radius from the field are displayed in the selection.
Note: Make sure you select stations that contain data for the season that you are interested in.
Next, indicate rain efficacy: which portion of rain infiltrates the soil. Use default numbers if you don’t have any better information.
Last, please define the phenological stages for your crop. This is required to correctly model evapotranspiration during the season. The dates can be fastly inputted with the help of an interactive graphic by dragging the orange lines (Figure 6).
Optionally, you can also define your soil profile information such as the initial water status or the soil type (Root zone settings are located under the interactive graphic, Figure 6 and 7).
Note: Rootzone settings should be provided especially in areas with water abundance. In such areas, water that can be held by the soil should be limited in the model.
Finally, you are ready to study water stress and water surplus in your field (Figure 8). For the daily water balance computation, we used the daily rain and evapotranspiration data from your station, the crop coefficients and the management dates. The evapotranspiration was computed according to the FAO-56 Penman-Monteith equation. If any irrigation events were reported (see the next chapter), these will be also considered.
The lower graphic shows all the input data. The upper graphic displays the Daily water balance, where green represents water surplus and red water deficit. The maximum water balance is limited by the Field capacity and Refill points that you provided in the Rootzone settings (optional, Figure 6 and Figure 7). If a rain event occurs after any water stress period (red color), the daily water balance is automatically computed from 0.
Our interactive calendar (Figure 9) enables you to input your single or regular irrigation events. These are then immediately considered in the daily water balance computation (previous chapter).
You can input your events by clicking on the date in the calendar and filling in the Event name, the Irrigation type, the Irrigation Start and the Duration (Figure 10).
For recurring events, you should (in addition to previous) activate the Recurring event button, input the Frequency and the End of schedule prior to saving events.
Farmview Satellite – Tutorial material for LAI-Dynamics from Satellite Data
New Module: LAI-Dynamics from Satellite Data
Take a look at the video for Satellite Module release. Check all the possibilities to work with satellite data, moreover, to combine it with FarmView and FieldClimate features for a full data integration.
Among the several benefits, LAI-Dynamics Module offers:
- Biomass Viewer graph: based on Leaf Area Index (LAI) quantification, at any given time, space (cropzone) and crop type.
- Identify regional differences of growth development in the same CropZone: field variabilities and heterogeneity can be easily identified with satellite images together with biomass data.
- Closely monitor growth stages and crop development
- Correlate growth stages to weather conditions such as GDD graphs from FieldClimate, disease models, weather forecast, Irrimet data.
- High quality satellite imagery from Sentinel-2 satellite, with 10 m resolution combined with LAI scale of biomass development, updated every 5 days.
LAI-Dynamics Based on Satellite Data is a new Module under FarmView software. FarmView is a Premium Service inside FieldClimate, offering you more details and data zonation, to better support your crop management decisions.
Since 2005, FieldClimate platform is an indispensable partner for the agriculture decision-making process and has been improving over the years.
To obtain access to the Satellite Module, customers will need an extra license inside FarmView.
For more information, please contact Caroline.email@example.com or firstname.lastname@example.org.
To access Satellite features, you will need to login to Farmview first. Under your Satellite credentials, the user can find the satellite icon on the left side of the page. Satellite has this icon:
CropZones will automatically be displayed inside the Satellite Module, so there is no need to add them or change any settings. The main Satellite dashboard will show Leaf Area Index tab, with the Biomass Viewer graph, followed by satellite images. Page will look like this:
LAI (Leaf Area Index) is the canopy area per unit of horizontal ground area. The biomass LAI can vary on a scale from 0 (bare soil) to 3-4 (highest LAI for tomatoes or wheat), to 5-6 (highest LAI for maize, soybeans). Expected LAI will vary between crops, likewise, be influenced by environmental conditions such as sunlight, climate, water availability, nutrients, etc.
The Biomass Viewer graph will present biomass development over time. Each Satellite page refers to a specific CropZone and will show all the data out of it. To understand daily biomass accumulation over time is crucial to track growth stages and, consequently, yield potential.
To monitor growth stages allows growers to plan ahead crop management from planting day to flowering, and determining the best days for harvesting. Moreover, it can be combined to temperature data via the GDD Accumulator tool, in FieldClimate. Once users have all the data for crop-temperature threshold, GDD, and biomass development, field decisions become more complete.
• Monitor growth stages of multiple cropzones:
biomass accumulation over time allows users to identify crop-growth stages such as Vegetative phases (planting to flowering), maturity, and harvesting timing. Get the best out of your crop at the right time.
Crop of soybeans monitored with Satellite Module, throughout the cultivation period. Possibilities to control growing degree days (GDD) via Biomass Viewer graph allow growers to strategically prepare crop management from planting to harvesting. Satellite images – from right to left – show crop development from: planting (right-pink images with low LAI), to maturity with highest LAI accumulation (middle-dark-green images), and finally harvesting on the left side.
• Identify regional variances in growth status: within one cropzone, growers can identify areas below or above average of biomass development via data zonation; resulting in instant actions and local management.
- Optimize biomass development based on field variabilities to uniformly reach maximum LAI and, consequently, enhance yield potential.
- Action on problematic areas first.
- Allocate more devices to tackle weakest biomass spots, such as weather stations, iSCOUT sensors, Disease model, soil improvement with Mobilab, and many other options.
• Association with weather-related conditions: satellite imagery also shows land topography patterns such as slopes and terraced fields. Topography patterns will influence weather patterns inside the CropZone, affecting soil moisture and land heterogeneity on its turn.
- Install weather stations on relevant spots.
- Correlate satellite data with weather forecast and Disease model.
- Group historical satellite and weather data to project yield potential and optimize field management.
- Understand eroded areas and water runoff effects on yield by observing crop characteristics.
Satellite images captured from a maize crop, with terraced fields. Possibility to identify crop characteristics:
(1) Terraced structure can be seen on the line division among the crop.
(2) Spots with biomass development below growth average. For example, the Southeast border of the CropZone in a light-pink color indicates lower biomass accumulation, when compared to the rest of the crop (dark-green areas). Identify field heterogeneity, and act regionally to increase and uniform yield potential all over the CropZone, such as: soil nutrition improvement, prevent from disease infections with iScout sensors on the right spots, install weather stations with Soil Moisture module, water balance and irrigation control with irrimet.
• Data correlation with Growing Degree Days (GDD): Growing degree days (GDD) is a weather-based indicator for assessing crop growth and development. In addition, it helps to calculate pest risks during the growing season. FieldClimate software provides GDD graphs, based on lower and upper air-temperature thresholds (under Accumulator Tool section).
- Utilize crop-coefficient-temperature thresholds to calculate adequate GDD per crop type.
- Overlap GDD data with Satellite Biomass Viewer for an overview of crop development, which directly reflects on yield potential.
- Unify vegetative phases with temperature conditions to determine the ideal dates for planting, while predicting dates of flowering and maturity.
GDD calculation on FieldClimate under common temperature thresholds for soybeans (10.6 – 36.7 °C for lower and upper set points respectively).