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First questionnaire

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Agricultural/forestry production to 50 hectares

Agricultural/forestry production from 50 to 500 hectares

Agricultural/forestry production above 500 hectares

Supplier of technology and services in precision farming

Academia and research

Public, food consumers

Students

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Selected methods of precision agriculture are evaluated on a five point scale:

technological sophistication
usability for agricultural practice

5 the best level of technological sophistication

rated methods have proven performance and reliability, high quality user interface for use in agricultural practice and are mass produced, ideally by several manufacturers.

1 worst level

technologies based only on theoretical basis.

5 the best level of applicability in practice

own experience with convenience in terms of economic efficiency, quality and quantity of production, organization and control of the production process, welfare, etc., highly evaluated is also the perception of the size of potential for solving operational shortcomings of currently used technologies, ie. needs for innovation in the production area.

1 worst level

unclear method of usage or uncertain potential for benefits

Cannot judge

This rating is also an important characteristic of the technology, as it expresses its unfamiliarity among the respondents.

The allocation of points is based on your individual knowledge and experience and is also a comparison with other technologies currently evaluated.

Telematics for tractors and other agricultural machinery

1 / 13

Continuous collection of traffic data, storing and subsequent evaluation - eg. fuel consumption, tensile strength, slippage, working and nonworking drives, etc.

Technological advancement

1 2 3 4 5

Applicability in practice

1 2 3 4 5

Cannot judge

Guided drive of tractors and agricultural machinery on parcel

2 / 13

Selecting the trajectory of machines on the basis of GPS coordinates with accuracy in meters (A-B line, optimization based on the shape of the plot, moving along the contour lines, etc.).

Technological advancement

1 2 3 4 5

Applicability in practice

1 2 3 4 5

Cannot judge

Guided drive of tractors and agricultural machinery on parcel with 2 cm accuracy

3 / 13

Selecting the trajectory of machines on the basis of GPS coordinates and RTK corrections, (A-B line, optimization based on the shape of the plot, movement along the contour line, controlled traffic farming etc.

Technological advancement

1 2 3 4 5

Applicability in practice

1 2 3 4 5

Cannot judge

Using satellite imagery for management of crop production

4 / 13

The use of satellite imagery to monitor the condition of vegetation (estimate yield, uneven emergence, damage caused by erosion, animals, weather), including the processing and interpretation of results.

Technological advancement

1 2 3 4 5

Applicability in practice

1 2 3 4 5

Cannot judge

Creating application maps for fertilization

5 / 13

System for the collection and processing of data on soil usage eg. agrochemical soil testing, yield maps, etc., resulting in the application map for basic fertilization

Technological advancement

1 2 3 4 5

Applicability in practice

1 2 3 4 5

Cannot judge

Automatic regulation of fertilization dosage based on fertilization map

6 / 13

Regulation of dosage controlled by an embedded fertilization map created on the basis of previous data on nutrient supply.

Technological advancement

1 2 3 4 5

Applicability in practice

1 2 3 4 5

Cannot judge

Automatic setting of fertilization dosage based on current state of vegetation

7 / 13

Automatic on-the-fly dose fertilization setting according to the data from optical sensors (eg. N-Sensors).

Technological advancement

1 2 3 4 5

Applicability in practice

1 2 3 4 5

Cannot judge

Automatic regulation of row seeding based on seeding map

8 / 13

E.g. cereals. Automatic seeder settings (seed rate, sowing depth) by planting maps, site conditions, guiding the drill by soil preparation

Technological advancement

1 2 3 4 5

Applicability in practice

1 2 3 4 5

Cannot judge

Utilization of drones for application of plant protection mixture

9 / 13

The use of unmanned aerial vehicles (UAV drones) especially for the selective application of pesticides.

Technological advancement

1 2 3 4 5

Applicability in practice

1 2 3 4 5

Cannot judge

Autonomous guiding of agricultural machinery

10 / 13

Automatic machinery guidance by the edge of vegetation, forage harvesters by current state of vegetation, and machinery for tillage by plants or according to the land relief (ridges), etc.

Technological advancement

1 2 3 4 5

Applicability in practice

1 2 3 4 5

Cannot judge

Monitoring of outputs from cereal and oilseed harvests

11 / 13

The equipment of harvesters by GPS receiver and yield sensors, creating and interpreting yield maps.

Technological advancement

1 2 3 4 5

Applicability in practice

1 2 3 4 5

Cannot judge

Monitoring of wildlife animals on farmland and in forests using drones

12 / 13

The use of unmanned aerial vehicles (drones) for monitoring wildlife to detect size of their population, for planning measures to reduce damages etc.

Technological advancement

1 2 3 4 5

Applicability in practice

1 2 3 4 5

Cannot judge

Using field robots in fruit and vegetable production

13 / 13

It includes a wide range of operations: planting, pruning, bundling, harvesting, sorting, etc.

Technological advancement

1 2 3 4 5

Applicability in practice

1 2 3 4 5

Cannot judge

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First questionnaire

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