Precision farming may play an important role in agricultural innovation. The study focuses on the attitude of Hungarian farmers toward precision farming. Based on the relevant technical literature, we performed a nationally representative questionnaire survey of 594 farmers and deep interviews with experts and farmers (30 persons). As regards the questionnaire, the authors found that the management of the average farm size in Hungary has the highest willingness to innovate and the second highest level of education among the developed clusters. The survey shows undertrained farmers with large farms to be the second most open group, which may result in the partial application of precision farming techniques. One of the most unexpected results of the Precision Farmers’ cluster is that the positive socio-economic utility of precision farming is rated as extremely low. In-depth interviews prove that the use of precision technologies does not increase local social cohesion. Strong organisational isolation of precision farmers prevents the spread of innovation knowledge and precision farming amongst the farming community, and the challenges of competitiveness alone do not force farmers to apply precision farming. Our results may be useful for the establishment of agricultural strategy.

Technological progress can provide several solutions to the most significant challenges faced by agriculture. Precision agriculture (PA) technologies have been recognised as one of the rare win-win solutions for environmental and socioeconomic goals. Although they have been available for decades, their diffusion progresses at a slow rate. Therefore, in recent years, precision farming has been receiving more attention from agricultural economists. Perceptions of Hungarian FADN arable farms about precision farming were collected through a survey in order to compare with cost-benefit analyses. The survey not only revealed the details of the application of different technologies but also their impacts perceived compared to a baseline situation. For the main crops, the results confirmed that precision farming leads to increasing yields and has profitability benefits compared to conventional farming. According to the respondents, the high investment cost is the main barrier to diffusion, while subsidies and more appropriate information could foster it. Therefore, a specific subsidy package implemented both in the 'greening' component and in the Rural Development Programme of the European Union's Common Agricultural Policy would be a stimulating factor for the wider spread of PA.

This paper focuses on the economic and statistical evaluation of the production technology findings of the polyfactorial maize production experiments carried out between 2015-2017 at the Látókép Experiment Site of the University of Debrecen, Faculty of Agricultural and Food Sciences and Environmental Management. The examined agrotechnical factors included irrigation, previous crop, tillage, crop density, hybrid and N nutrient supply, while the effect of different crop years was taken into consideration. In addition to descriptive statistical methods, we used multivariate regression analysis during the statistical evaluation. In the course of the evaluation, we examined three models that differed in terms of tillage methods and the consideration of crop year. In our best fit model, the factors were 71% responsible for the change in yield value. We carried out efficiency and comparative analyses in the course of the economic evaluation.Averaged over the three examined years, it can be stated that nutrient supply and crop year had an outstanding effect on yield, while irrigation had a minimal effect. However, global warming may justify irrigation in the future, not only from a biological point of view, but also from an economic aspect.Ideal tillage is also greatly affected by crop year, too. Altogether, of the examined tillage systems, subsoiling proved to be the best from an economic point of view.Our investigations confirm that it is better to perform intensive farming under more favourable market conditions. The optimum of N fertilisation is probably outside of the range we examined, if the extreme changes in maize and fertiliser prices are ignored. JEL Classification: Q16, Q12, Q13, O32

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