In Hungary, the agricultural sector is the third largest carbon-emitting sector: in 2018, it contributed 17.5% to its total emissions. This sector accounts for 81% of domestic nitrous oxide emissions (land use and fertilizers) and 37% of methane emissions (animal husbandry). Greenhouse gas emissions are unequal by region due to different spatial and production conditions. Emissions are above average in Central Transdanubia, the Southern Great Plain, and Western Transdanubia, but the Northern Hungary region lags far behind the average. The largest regions of the Great Plain stand out in agricultural production: at current basic prices, they account for almost half of the total output (46%), while the Budapest and Pest regions together contribute 7.4% and Northern Hungary 7.6%. Based on the gross value added per 1 hectare of agricultural area, agricultural productivity was highest in 2019 in the Northern and Southern Great Plain and Western Transdanubia, while it was lowest in Northern Hungary and Budapest and Pest regions. Regions with previously low values lagged even further behind, with regional disparities widening overall in terms of productivity. In 2020, the volume of animal husbandry decreased by 1.3% and crop production by 3.3%. The total volume was thus 2.2% lower than in 2019.
Overall, it can be stated that the agricultural sector is extremely important for Hungary, but we are talking about a very sensitive sector exposed to climate change; therefore, the application of emission reduction and adaptation measures is essential. The research aims to provide an insight into the relationship between CSA solutions, tools, and climate change in Hungarian agribusiness, presenting smart tools and concepts emerging in business that are closely related to the process of adaptation to and mitigation of climate change. Research can contribute to sustainable agriculture and support a key economic policy such as increasing competitiveness, added value, and income-generating capacity of agriculture and in strengthening the agribusiness digitalization.
2. Climate-Smart Agriculture (CSA) Tools
By CSA tools we mean a collective concept that includes all technologies, approaches, measures for mitigation and adaptation, promoting the establishment of climate-friendly and climate-resilient agriculture. The number of smart devices is on an ever-increasing trend due to innovation. The interpretation of CSA tools can be narrowed down to different technological innovations or novel uses of already-existing technologies. These tools generally consider traditional good agricultural practices and thus build on them to create innovations. Based on the survey, we identified 27 CSA tools appearing in the examined companies, which were classified into six groups. In the survey, 18 CSA tools were listed, and the respondents were free to list other tools as well. The above list does not cover the whole CSA tools, the primary consideration in delimiting the elements was mostly to present the diversity of the tools through which we want to provide an insight into the diverse world of CSA technologies. Based on our research so far, the following categories have been developed: (1) Robotization: primarily innovations related to crop production, such as the use of automatic harvesters or robotic weed and pathogen control. (2) Bio innovation: using biological/chemical technologies to help reduce GHG emissions from agriculture and adapt to climate change, such as plant breeding, the development of new seeds, or the development of artificial meat. (3) Smart monitoring system: smart systems continuously monitor and analyze, e.g., the behavior of farm animals, giving farmers a much more accurate picture of the physical condition of their animals. (4) Big Data analyzes and identifies climate trends and makes a more accurate forecast. (5) Precision agriculture: this can effectively make agriculture climate-intelligent by reducing its impact on the environment. (6) IoT (Internet of Things): microsensors that are smart technologies and can transmit various measured data (e.g., soil moisture content) to other online devices.
Agricultural innovation can be classified in several ways. Further developing the areas of innovation often mentioned in agriculture
[46[46][47],
47], we divided them into six categories: (1) responsible innovation, (2) technological innovation, (3) social innovation, (4) organizational innovation, (5) green innovation, (6) management innovation. According to the different types of innovation, in connection with the three basic dimensions of sustainability (environmental, social, and economic pillars), we analyzed the CSA solutions used in the study area in a sustainability impact assessment matrix (
Table 1), which included those new or improved technologies, practices and processes that can have a real positive impact on one or more dimensions of sustainability.
Table 1. The identified CSA tools from the perspective of sustainability.
Sustainability Dimensions |
Type of Innovation |
Identified CSA Tools for Mitigation |
Identified CSA Tools for Adaptation |
Environmental dimension |
Green innovation |
Organic growing solution, agrotechnology development, smart fleet of vehicles, eco-aquaculture techniques, integrated manure treatment, smart composting |
Environmental sensors and data loggers, soil sensor, bird alert, soil performance monitoring system, bio innovation tools |
Technological innovation |
Organic growing solution, robotization, smart fleet of vehicles, integrated manure treatment, integrated plant management, water-saving smart irrigation systems, smart composting, toxic gas level monitoring |
Stock management system, drought monitoring system, optimising fertilizer use, livestock activity meter and monitoring, environmental sensors and data loggers, soil sensor, bird alert, soil performance monitoring system, malware monitoring system, robotized weed control, robotized pest control, automatic pick-up machines, use of drones, bio innovation tools, digital farm management |
Social dimension |
Social innovation |
Organic growing solution, robotization, smart fleet of vehicles |
Bio innovation tools |
Responsible innovation |
Organic growing solution, agrotechnology development, smart fleet of vehicles, solar irrigation system regulation, feed management, integrated manure treatment, integrated plant management, water-saving smart irrigation systems, smart composting |
Drought monitoring system, environmental sensors and data loggers, soil sensor, soil performance monitoring system, climate-smart livestock farming, bio innovation tools |
Economic dimension |
Management innovation |
Feed management |
Stock management system, weather forecast-based activity management, climate-smart livestock farming, digital farm management |
Service innovation |
Agrotechnology development |
Drought monitoring system, livestock activity meter and monitoring, malware monitoring system |
Based on the survey, a total of 27 CSA tools were identified that strengthen the environmental dimension the most. Based on the sustainability assessment of the businesses engaged in agricultural activities in the studied area, it can be stated that the CSA tools used to support mitigation can strengthen the environmental and social pillar of sustainability the most. The environmental dimension proved to be the strongest based on the evaluation. The identified solutions can strengthen responsible innovation within the social pillar, which means predicting impacts at all levels of agriculture
[48], considering the wider impacts on society, delivering social benefits, addressing negative impacts, and thus we can talk about a key innovation in terms of smart management. A low GHG economy can contribute to social well-being. Viability is the key to sustainability, and this goal is supported by the vision of decarbonization, yet, in our assessment, social innovation is the least supported leg. Based on the evaluation of the tools supporting adaptation, it can be concluded that the applied CSA solutions can strengthen the environmental pillar of sustainability the most, and economies of scale seem to prevail, such as the condition of precision agriculture is the appropriate economic size.
During the evaluation, CSA tools supporting mitigation were first identified, as shown in
Table 2a below, which lists all the identified tools. During the evaluation, we used the evaluation criterion built along with the following system of principles, during which the values “4”, “3”, “2”, “1” and “0” are displayed (
Table 2c). The evaluation matrix thus formed can be easily interpreted. Among the mitigation-oriented solutions, the prevalence of agrotechnology development, integrated manure treatment and robotization can be highlighted as positive; however, the truly innovative solutions such as a smart fleet of vehicles and the widespread use of solar energy were not typical. In general, the use of stock management and drought monitoring systems, livestock activity monitoring systems were not typical of the study.
Table 2. Evaluation of CSA tools in the examined companies: (a) the identified CSA tools supporting mitigation; (b) the identified CSA tools supporting adaptation; (c) evaluation criterion.
a. The Identified CSA Tools Supporting Mitigation |
Identified CSA Tools |
Mitigation |
Organic growing solution |
1 |
Agrotechnology development |
3 |
Smart fleet of vehicles |
2 |
Feed management |
1 |
Integrated manure treatment |
2 |
Eco-aquaculture techniques |
1 |
Integrated plant management |
3 |
Smart composting |
1 |
Robotization |
3 |
b. The identified CSA tools supporting adaptation |
Identified CSA tools |
Adaptation |
Stock management system |
2 |
Drought monitoring system |
2 |
Optimising fertilizer use |
1 |
Livestock activity meter, monitoring |
3 |
Environmental sensors and data loggers |
3 |
Weather forecast-based activity management |
4 |
Soil sensor |
0 |
BirdAlert |
0 |
Soil performance monitoring system |
2 |
Climate-smart livestock farming |
0 |
Smart walware monitoring system |
2 |
Robotized weed control |
0 |
Robotized pest control |
0 |
Automatic pick-up machines |
0 |
Use of drones |
3 |
Bioinnovation tools |
0 |
Digital farm management |
3 |
c. Evaluation criterion |
1 |
Mentioned at once |
2 |
Mentioned at 2–5 times |
3 |
Mentioned at 6–9 times |
4 |
At least 10 mentions |
0 |
NR |
After mitigation-oriented solutions, some CSA solutions supporting adaptation were examined during the study. The domestic application of adaptation-oriented tools can improve both sectoral and regional adaptation and Agri-Innovation capacity. Observing the whole sample (
Table 2b), the number of adaptation solutions exceeds the tools supporting mitigation, thus indicating its importance. Improving food security, striving for sustainable farming, and increasing the number of organic farms is a key element in adapting to climate change. Weather forecast-based activity management systems, environmental sensors and data loggers, and smart monitoring systems are among the solutions supporting adaptation, reflecting the exposure and sensitivity challenges, of which the changing rainfall distribution and water shortages caused by heatwaves are closely related to domestic agriculture’ sustainability challenges. Evaluating the results, weather forecasting systems, digital farm management, the use of sensors and drones, and animal activity measurement systems have emerged as highlights. The biggest shortcoming of CSA solutions is in the field of sensors, robots, and bio innovation tools.
3. Discussion
The effects of climate change are most visible in economic processes that are closely linked to the environment, so they have a significant impact on agriculture. Hungary faces several challenges due to changing climatic conditions so adaptation to climate change can also be interpreted as one of the critical points of long-term sustainability. The number of adaptation activities is on an increasing trend, with farmers taking steps to prevent the expected effects of climate change, such as changing sowing times, precision farming and more efficient species, but it is important to note that farms have different inputs, climate factors and soil characteristics, so it is necessary to apply adaptation measures that differ between regions, considering local characteristics
[11].
Innovation is associated with several stakeholders especially considering relevant business, but the public and a community can be also innovating. During innovation, the company uses new technologies, builds a new organization, produces a new product, and uses new sales channels. Agricultural innovation can be interpreted by extending it to the whole of agriculture
[49,50,51][49][50][51]. Efficiency is of key importance not only from a sectoral but also from a social point of view in the field, as agricultural innovations can effectively contribute to the implementation of sustainable agriculture
[52], which has increasing importance in the age of digital transition. The EU’s rural development program for the programming period 2014–2020 also emphasized the role of innovation-related measures in improving the livability of rural areas. Society is also an important driver of innovation, such as agricultural production and agri-food. Among the social factors, the qualifications of farmers and their openness to innovation are decisive. The European Innovation Partnership for Agricultural Productivity and Sustainability (EIP-Agri) increases the productivity and sustainability of agricultural and forestry sectors and help them to adapt to the expected effects of climate change. The partnership is responsible for disseminating and transferring knowledge about innovation and agriculture, shaping farmers’ attitudes, developing innovative approaches, and identifying innovative solutions that can help increase the competitiveness of the agricultural economy in the European Union
[53].
The UN forecasts that the world’s population will grow by a third by 2050, while Hungary’s population is expected to decline. If the uphill trend in incomes and consumption continues, the FAO (Food and Agriculture Organization of the United Nations) estimates that agricultural production will need to increase by 60% by 2050 to meet future food and feed needs
[54]. Adapting to climate change and reducing emissions is essential in achieving food security and agricultural development goals. Thus, agriculture must respond simultaneously to three challenges: (1) ensuring productivity and food security, (2) adapting to climate change, and (3) reducing GHG emissions
[55,56,57,58][55][56][57][58]. The CSA seeks to address these three challenges while integrating the three dimensions of sustainable development. The goal of the CSA is to increase agricultural productivity and incomes in a sustainable manner, to develop adaptation and resilience to climate change, and to reduce and/or eliminate GHG emissions
[56]. A CSA is not just a unique technology or practice that is generally applicable, but an approach that requires site-specific research to develop appropriate agricultural practice and technology.
CSA Country Profiles provide an overview of the agricultural challenges facing countries around the world and how the CSA can help them reduce GHG emissions and adapt to climate change
[59]. Most of the profiles cover Latin America, as well as parts of Africa and South Asia, while only one European country is included in the country profiles. The World Bank also supports the concept of CSA and is committed to working with countries to achieve the CSA’s triple goal. In 2020, 52% of World Bank agricultural support was targeted at climate change adaptation and mitigation. The World Bank supports CSA projects in many countries around the world, such as lower-emission agricultural practices and institutions in China. In Uruguay, they are helping to make farms climate-friendly by investing in energy efficiency and improving soil management capacity for sustainable agriculture
[60].
With the support of international organizations, civil initiatives have also emerged, such as the Global Alliance for Climate-Smart Agriculture helping to spread CSA by connecting stakeholders through an online platform. Global Alliance for Climate-Smart Agriculture creates partnerships to encourage actions that reflect an integrated approach to the three pillars of CSA. CSA Booster is a database to collect and share information on international cooperative climate initiatives driven by non-state actors like businesses and cities. It has over fifty partners in the EU and a partner for Global Alliance for Climate-Smart Agriculture initiatives, hosted by the FAO
[54]. Globally, there are many projects and research in a support of CSA, but a review of the international literature clearly shows that so far only a few published research has been produced in Europe
[61], so the present study can be considered as filling a gap in this respect. Agricultural practices and technologies are smart for the climate if they can deliver integrated benefits. For example, reduced tillage practices can increase production by improving soil quality, support mitigation by increasing carbon capture, and strengthen farmers’ resilience to climate shocks such as drought and floods
[40,62,63][40][62][63].
CSA needs to be examined from an integrated perspective, combining innovative technologies, production impacts, insurance options and risk preferences. In line with the mitigation and adaptation objectives of climate change and the EU’s green economy development and digitalization efforts, CSA solutions can also contribute to the implementation of the Hungarian sustainable agricultural economy and rural development as a new area of agricultural innovations and digitalization processes
[64].
The research results underpin the importance of evidence-based local and regional assessments. Considering the local and regional CSA evaluations those remains scarce, especially compared to the national level. According to the policy side it is worth highlighting that the 2nd Hungarian National Climate Change Strategy (NCCS, 2017–2030) does not deal with the topic of digitalization or climate-smart agriculture as a significant and effective tool. There is a lack of CSA tools both in case of the National Decarbonization Strategy and the National Adaptation Strategy, which are two main parts out of the three of the 2nd National Climate Change Strategy. It would be forward-looking to integrate this aspect into the next review of the NCCS. The Digital Agriculture Strategy was born in 2019, which explains why these aspects have not come to the fore, while the digital transition has also accelerated. We recommend that the Digital Agriculture Strategy addresses the climate aspects.
In Hungary, in addition to the Digital Agricultural Academy, there are several possibilities for farmers to get acquainted with digitalization and innovation. The Academy has a particularly important role to play, and further similar initiatives and training diversification are needed to expand the knowledge of all workers in the sector. The Agricultural Knowledge and Information System (AKIS) in Hungary focuses on agricultural advisory services. AKIS provides for farmers relevant knowledge and networks in Agri-Innovations. The current Hungarian advisory and consultancy system has 4 types: (1) national level free advisory services, financed by the EU and domestic resources, (2) Farm Advisory System (FAS), (3) commercial consultancy, and (4) consultancy offered by input providers, private sector actors. Agricultural advisory activity has a tradition in Hungary and 1100 advisors provide advisory services in Hungary, and the Hungarian Chamber of Agriculture employs 610 village agronomists. The quality and methodology of knowledge transfer have developed dynamically in recent years
[65]. Farmers can also apply for agricultural postgraduate courses, e.g., agricultural digitization engineer, precision agricultural management specialist, precision agricultural consultant. Agro Napló is a nationwide agricultural journal. It has been one of the most known media of Hungarian agriculture since 1996. The journal describes innovative practical solutions based on domestic and international research. It also monitors and publishes current events and application opportunities, and reports on agricultural events (professional events, conferences, trade fairs). There is a wider range of knowledge transfer possibilities in Hungary, but further digitization opportunities should be offered to farmers.