Lauksaimnieku un dārzkopju digitālās prasmes | Digital skills of farmers and horticulturists
2021
Rubauskis, E., Latvia Univ. of Life Sciences and Technologies, Cerini, Krimuna Parish, Dobele Municipality (Latvia). Inst. of Horticulture | Lepse, L., Latvia Univ. of Life Sciences and Technologies, Cerini, Krimuna Parish, Dobele Municipality (Latvia). Inst. of Horticulture | Lepsis, J., Latvia Univ. of Life Sciences and Technologies, Cerini, Krimuna Parish, Dobele Municipality (Latvia). Inst. of Horticulture | Strautina, S., Latvia Univ. of Life Sciences and Technologies, Cerini, Krimuna Parish, Dobele Municipality (Latvia). Inst. of Horticulture | Skrastins, P., Latvijas Augļkopju asociācija, Riga (Latvia) | Liepniece, I., Latvijas Bioloģiskās lauksaimniecības asociācija, Riga (Latvia)
In the frame of project ATLAS the survey was organised on the Internet, and it was available for 89.7% of the households in Latvia. Several agricultural sectors were represented by 196 respondents who took part in the survey. The respondents were from all regions of Latvia, they represented the most active part of farmers (71% of respondents 31–60 years old), and genders were represented equally. The organic farmers represented 55.4% of all respondents, 63.7% of respondents had the higher education. The survey's responses mostly showed sectoral differences, for example, the use of the robotic equipment for weed limitation, the environmental data in the fields or in the garden did not interest beekeepers and livestock farmers but more those, whose agricultural practice allows industrially produced plant protection items and fertilizers, and who would like to use recommendations of the decision support systems based on measurements of environmental data. Respondents involved in the plant production were interested in the warning systems of harmful organisms, in the free-of-charge use of the decision support systems, etc. Horticulturists would be interested in the use of the environmental data to identify irrigation needs. Fruit-growers were interested in the use of a network of sensors to monitor conditions in the orchard. Agricultural crop farmers were interested in using drones. Livestock farmers would be interested in information about changing the behaviour of animals or warnings about problems in fencing. Warning information on wildlife visits and spring frost would be necessary in particular for horticulturists, as well as warnings of threats of potential damage caused by birds would be of interest for them. Most of the surveyed respondents would be interested in data compatibility with governmental services, such as Rural Support Service databases, where to reflect performed activities, field history, etc. Training in the use of meteorological data, sensors and tools would be important for the majority of farmers.
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