| Author and Year |
Factors Studied |
Geographical Location |
Climate-Smart Agricultural Practice Category |
| De Master, 2012 [83] |
Collective decisions and participatory approach, information sources, legal framework, financial support and degree of bureaucracy |
Poland |
Organic Farming |
| Theocharopoulos et al., 2012 [39] |
Knowledge, attitudes and financial support |
Greece |
Organic Farming |
| Koutsoukos and Iakovidou, 2013 [98] |
Environmental consciousness, knowledge, attitudes, marketing and communication campaigns, lack of research, education, and knowledge, lack of infrastructure, extension and advisory services, legal framework and perceived benefits |
Greece |
Organic Farming |
| Läpple, 2013 [99] |
Age, gender, educational level, risk aversion, motives, attitudes and information sources |
Ireland |
Organic Farming |
| Läpple and Kelley, 2013 [100] |
Attitudes, perceived behavioral control, subjective norms and financial support |
Ireland |
Organic Farming |
| Nave et al., 2013 [52] |
Age, off-farm income, farm ownership, educational level, farm size, farm location, awareness, risk aversion, innovativeness, social networks, information sources, extension and advisory services, membership in a cooperative and labor availability |
France |
Natural resources preservation |
| Bartulović and Kozorog, 2014 [101] |
Farm location, environmental consciousness, motives, perceived behavioral control, social norms, collective decisions and participatory approach, extension and advisory services, financial support and perceived benefits |
Slovenia |
Organic Farming |
| Busse et al., 2014 [51] |
Resistance to change, marketing and communication campaigns, farmer skills, information sources, extension and advisory services, short supply chain, legal framework, financial support, availability of certification, perceived costs, and perceived benefits |
Germany |
Smart farming technologies, digital tools and AI |
| Chatzimichael et al., 2014 [94] |
Age, educational level, farm size, knowledge, social learning, information sources, access to market and financial support |
Greece and Germany |
Organic Farming |
| Karali et al., 2014 [31] |
Age, off-farm income, farm ownership, farm successor, farm size, weed pressure, extreme weather conditions, environmental consciousness, risk aversion, attitudes, subjective norms, information sources, extension and advisory services, direct marketing, legal framework, financial support, degree of bureaucracy, perceived costs and perceived benefits |
England, Scotland, Northern Ireland, and Ireland |
Organic Farming |
| Kemp et al., 2014 [38] |
Age, educational level, farm successor, farm size, farm location, knowledge, innovativeness, subjective norms, social norms, information sources and perceived benefits |
The Netherlands |
Other CSA practices |
| Tzouramani et al., 2014 [69] |
Extreme weather conditions, environmental consciousness, social network, market demand, financial support and perceived benefits |
Greece |
Organic Farming |
| Dinis et al., 2015 [62] |
Gender, farm ownership, farming experience, size of arable land, farm location, awareness, perceived benefits and labor availability |
Italy and Portugal |
Organic Farming |
| Gailhard et al., 2015 [102] |
Age, on-farm income, educational level, farm size, soil quality, innovativeness, social networks and membership in a cooperative |
Germany |
Natural resources preservation |
| Läpple and Kelley, 2015 [85] |
Age, off-farm income, household size, educational level, farm size, environmental consciousness, risk aversion, motives, social networks, information sources, extension and advisory services and access to market |
Ireland |
Organic Farming |
| Marques et al., 2015 [103] |
Age, farm size, knowledge, financial support and perceived trustworthiness |
Spain |
Natural resources preservation |
| Papadopoulos et al., 2015 [82] |
Extension and advisory services, legal framework, financial support and availability of certification |
Greece |
Organic Farming |
| Casagrande et al., 2016 [104] |
Awareness, farmer skills, risk aversion, perceived behavioral control, extension and advisory services, perceived costs, perceived benefits and farm outputs |
Estonia, Germany, the UK, Ireland, Belgium, France, Switzerland, Austria, Italy and Spain |
Natural resources preservation |
| Long et al., 2016 [5] |
Awareness, market demand, extension and advisory services, legal framework, lack of verified impact and perceived costs |
The Netherlands, France, Switzerland and Italy |
Other CSA practices |
| Case et al., 2017 [105] |
Perceived behavioral control, lack of infrastructure, perceived costs and perceived benefits |
Denmark |
Natural resources preservation |
| De Olde et al., 2017 [92] |
Collective decisions and participatory approach, legal framework and financial support |
The Netherlands |
Organic Farming |
| Kušová et al., 2017 [106] |
Age, farm ownership, educational level, size of arable land, farmer skills, motives and perceived benefits |
Czechia |
Smart farming technologies, digital tools and AI |
| Latawiec et al., 2017 [79] |
Farming experience, farm size, soil quality, environmental consciousness, knowledge, motives, perceived costs and perceived benefits |
Poland |
Natural resources preservation |
| Lemken et al., 2017 [68] |
Age, off-farm income, farm ownership, educational level, farm size, farm location, awareness, attitudes, perceived ease of use and labor availability |
Germany |
Natural resources preservation |
| Naspetti et al., 2017 [107] |
Attitudes, subjective norms and perceived ease of use |
Austria, Belgium, Denmark, Finland, Italy and the UK |
Biodiversity preservation |
| Paustian and Theuvsen, 2017 [66] |
Age, gender, farm ownership, full-time farmers, farming experience, educational level, farm size, size of arable land, farm location, soil quality, farmer skills, knowledge, extension and advisory services, lack of verified impact and labor availability |
Germany |
Smart farming technologies, digital tools and AI |
| Pinna, 2017 [44] |
Environmental consciousness, responsibility for future generations, motives, lack of research, education, and knowledge, collective decisions and participatory approach, membership in a cooperative, access to market, direct marketing, short supply chains, degree of bureaucracy, availability of certification, perceived costs and perceived benefits |
Italy and Spain |
Organic Farming |
| Zrakić et al., 2017 [108] |
Membership in a cooperative, access to market, direct marketing and perceived benefits |
Croatia |
Organic Farming |
| Knuth et al., 2018 [84] |
Educational level, farm size, extension and advisory services, membership in a cooperative and legal Framework |
Germany |
Smart farming technologies, digital tools and AI |
| Mattila et al., 2018 [109] |
Age, off-farm income, farm size, size of arable land, extension and advisory services, farm outputs and labor availability |
Finland |
Organic Farming |
| Papadopoulos et al., 2018 [46] |
Gender, educational level, environmental consciousness, attitudes, market demand, financial support and perceived benefits |
Greece |
Organic Farming |
| Partalidou et al., 2018 [75] |
Knowledge, resistance to change, motives, extension and advisory services, perceived costs and perceived benefits |
Greece |
Smart farming technologies, digital tools and AI |
| Pilarova et al., 2018 [29] |
Age, gender, farm ownership, household size, educational level, farm location, weed pressure, soil quality, drought, lack of infrastructure, extension and advisory services, access to credit, perceived costs and labor availability |
Moldova |
Natural resources preservation |
| Schoonhoven and Runhaar, 2018 [54] |
Awareness, responsibility for future generations, innovativeness, subjective norms, social norms, market demand, access to credit, legal framework, financial support and perceived benefits |
Spain |
Other CSA practices |
| Siepmann and Nicholas, 2018 [47] |
Attitudes, social norms and perceived benefits |
Germany |
Organic Farming |
| Tamirat et al., 2018 [35] |
Age, educational level, farm size, size of arable land, awareness, information sources, extension and advisory services, perceived benefits and labor availability |
Germany, Denmark |
Smart farming technologies, digital tools and AI |
| Velde et al., 2018 [110] |
Awareness, motives and subjective norms |
Belgium |
Organic Farming |
| Barnes et al., 2019 [58] |
Age, farm ownership, educational level, farm size, membership in a cooperative, perceived usefulness, perceived benefits, labor availability and shared machinery |
Belgium, Germany, Greece, the Netherlands and the UK |
Smart farming technologies, digital tools and AI |
| Barnes et al., 2019 [111] |
Age, on-farm income, educational level, farm size, farm location, social networks, extension and advisory services, legal framework, financial support, lack of verified impact, perceived compatibility, perceived costs, perceived benefits, labor availability and shared machinery |
The UK, Germany, the Netherlands, Belgium and Greece |
Smart farming technologies, digital tools and AI |
| Caffaro et al., 2019 [41] |
Attitudes, perceived behavioral control and subjective norms |
Italy |
Smart farming technologies, digital tools and AI |
| Caffaro and Cavallo, 2019 [112] |
Educational level, farm size and labor availability |
Italy |
Smart farming technologies, digital tools and AI |
| Das et al., 2019 [34] |
Age, on-farm income, farm size, awareness, knowledge, resistance to change, motives, perceived behavioral control, lack of infrastructure, collective decisions and participatory approach, financial support, perceived usefulness, perceived compatibility, perceived ease of use, perceived costs and perceived benefits |
Ireland |
Smart farming technologies, digital tools and AI |
| Home et al., 2019 [77] |
Subjective norms, marketing and communication campaigns, lack of infrastructure, market demand, information sources, extension and advisory services, access to market, legal framework, perceived costs and perceived benefits |
Switzerland |
Organic Farming |
| Knierim et al., 2019 [88] |
Lack of research, education, and knowledge, lack of infrastructure, extension and advisory services, perceived compatibility and perceived costs |
Germany |
Smart farming technologies, digital tools and AI |
| Konrad et al., 2019 [65] |
Age, full-time farmers, farm size, farm location, soil quality, awareness, innovativeness, social learning and social network |
Denmark, Estonia, Finland, Germany, Latvia, Lithuania, Poland and Sweden |
Smart farming technologies, digital tools and AI |
| Mingolla et al., 2019 [113] |
Attitudes, perceived behavioral control and subjective norm |
Belgium |
Smart farming technologies, digital tools and AI |
| Palšová, 2019 [95] |
Motives, marketing and communication campaigns, membership in a cooperative, access to market, financial support, degree of bureaucracy and perceived benefits |
Slovakia |
Organic Farming |
| Penvern et al., 2019 [33] |
Full-time farmer, pests, trust and extension and advisory services |
Belgium, Denmark, France, Germany, Italy, Latvia, Sweden and Switzerland |
Biodiversity preservation |
| Takeuchi-Storm et al., 2019 [114] |
Farm size and perceived benefits |
Switzerland, Germany, Denmark, Netherlands, Lithuania and Sweden |
Organic Farming |
| Walder et al., 2019 [60] |
Age, off-farm income, full-time farmer, educational level, motives, perceived usefulness, perceived benefits, farm outputs and shared machinery |
Austria |
Biodiversity preservation |
| Ayerdi et al., 2020 [115] |
Motives, shared machinery, membership in a cooperative, financial support and perceived usefulness |
France |
Smart farming technologies, digital tools and AI |
| Balogh et al., 2020 [116] |
Knowledge, marketing and communication campaigns, lack of research, education, and knowledge, extension and advisory services, short supply chain, access to credit, legal framework, financial support, perceived compatibility, perceived costs and perceived benefits |
Hungary |
Smart farming technologies, digital tools and AI |
| Caffaro et al., 2020 [117] |
Perceived usefulness and perceived ease of use |
Italy |
Smart farming technologies, digital tools and AI |
| Fantappiè et al., 2020 [118] |
Age, educational level, financial support, perceived usefulness and perceived benefits |
Italy |
Natural resources preservation |
| Groher et al., 2020 [64] |
Age, gender, full-time and farm size |
Switzerland |
Smart farming technologies, digital tools and AI |
| Hansmann et al., 2020 [119] |
Subjective norms, extension and advisory services, perceived usefulness, perceived costs and perceived benefits |
Germany |
Organic Farming |
| Kahramanoglu et al., 2020 [50] |
Attitudes, perceived behavioral control and subjective norm |
Cyprus |
Other CSA practices |
| Kernecker et al., 2020 [81] |
Extension and advisory services, lack of verified impact, perceived usefulness, perceived compatibility, perceived ease of use, perceived trustworthiness and perceived costs |
France, Germany, Greece, Serbia, Spain and the Netherlands |
Smart farming technologies, digital tools and AI |
| Kociszewski et al., 2020 [90] |
Environmental consciousness, motives, social norms, market demand, marketing and communication campaigns, financial support, degree of bureaucracy, perceived costs and perceived benefits |
Poland |
Organic Farming |
| Lioutas and Charatsari, 2020 [73] |
Age, on-farm income, gender, educational level, attitudes, perceived usefulness, perceived benefits and perceived compatibility |
Greece |
Smart farming technologies, digital tools and AI |
| Michels et al., 2020 [57] |
Age, gender, educational level, farm size, farm location, farmer skills and innovativeness |
Germany |
Smart farming technologies, digital tools and AI |
| Michels et al., 2020 [40] |
Age, gender, educational level, farm size, farm location (north, east, west, and south), awareness, innovativeness and perceived costs |
Germany |
Smart farming technologies, digital tools and AI |
| Michels et al., 2020 [24] |
Age, gender, educational level, farm size, farmer skills, perceived behavioral control and perceived usefulness |
Germany |
Smart farming technologies, digital tools and AI |
| Pagliacci et al., 2020 [6] |
Size of arable land, farm location, soil quality, precipitation, social learning, lack of infrastructure, legal framework and financial support |
Italy |
Natural resources preservation |
| Richard et al., 2020 [91] |
Collective decisions and participatory approach, extension and advisory services and perceived costs |
France |
Natural resources preservation |
| Schwendner et al., 2020 [120] |
Marketing and communication campaigns and access to credit |
Switzerland |
Biodiversity preservation |
| Vecchio et al., 2020 [25] |
Age, educational level, farm size, knowledge, perceived ease of use and labor availability |
Italy |
Smart farming technologies, digital tools and AI |
| Vecchio et al., 2020 [25] |
Age, educational level, farm size, knowledge, perceived ease of use and labor availability |
Italy |
Smart farming technologies, digital tools and AI |
| Xu et al., 2020 [61] |
Farm size, social learning, information sources and farm outputs |
France |
Organic Farming |
| Aare et al., 2021 [72] |
Age, attitudes, perceived behavioral control, subjective norms, social norms, lack of infrastructure, market demand, extension and advisory services, legal framework, financial support, lack of verified impact, perceived usefulness, perceived compatibility, perceived ease of use, perceived costs and perceived benefits |
Denmark |
Biodiversity preservation |
| Bakker et al., 2021 [121] |
Attitudes, perceived behavioral control, subjective norms and social learning |
Germany and the Netherlands |
Natural resources preservation |
| Balogh et al., 2021 [37] |
Educational level, farm size, farmer skills, motives, innovativeness, subjective norms, extension and advisory services and perceived benefits |
Hungary |
Smart farming technologies, digital tools and AI |
| Blasch et al., 2021 [122] |
Age, farm successor, farm size, social learning, social networks, extension and advisory services, perceived costs and perceived benefits |
Austria |
Smart farming technologies, digital tools and AI |
| Canavari et al., 2021 [123] |
Subjective norms, perceived usefulness and perceived ease of use |
Italy |
Smart farming technologies, digital tools and AI |
| Cooreman et al., 2021 [76] |
Collective decisions and participatory approach, information sources, extension and advisory services and perceived costs |
8 European countries |
Other CSA practices |
| Creissen et al., 2021 [124] |
Farm size, farm location and information sources |
The UK and Ireland |
Natural resources preservation |
| Cusworth et al., 2021 [125] |
Lack of research, education, and knowledge, social norms, collective decisions and participatory approach, market demand, legal framework, financial support |
The UK |
Biodiversity preservation |
| González-Rosado et al., 2021 [126] |
Extension and advisory services, direct marketing and short supply chain |
Spain |
Other CSA practices |
| Gütschow et al., 2021 [86] |
Awareness, perceived behavioral control, marketing and communication campaigns, social norms, lack of infrastructure, legal framework, degree of bureaucracy, lack of verified impact and perceived compatibility |
Germany |
Other CSA practices |
| Hannus and Sauer, 2021 [70] |
Knowledge, perceived usefulness and perceived ease of use |
Germany |
Other CSA practices |
| Höglind et al., 2021 [127] |
Age, on-farm income, farming experience and farm location |
Sweden |
Other CSA practices |
| Kenny and Regan, 2021 [78] |
Perceived behavioral control, lack of infrastructure, perceived trustworthiness and perceived benefits |
Ireland |
Smart farming technologies, digital tools and AI |
| Khamzina et al., 2021 [128] |
Attitudes, perceived behavioral control and subjective norm |
France |
Organic Farming |
| Mazurek-Kusiak et al., 2021 [43] |
Farm location, environmental consciousness, motives, innovativeness, perceived behavioral control, extension and advisory services, financial support, perceived costs and perceived economic benefits |
Poland and Hungary |
Organic Farming |
| Michels et al., 2021 [74] |
Perceived behavioral control, perceived usefulness, perceived compatibility and perceived ease of use |
Germany |
Smart farming technologies, digital tools and AI |
| Mohr and Kuhl, 2021 [80] |
Innovativeness, attitudes, perceived behavioral control, social norms, perceived usefulness, perceived ease of use and perceived trustworthiness |
Germany |
Smart farming technologies, digital tools and AI |
| Renault et al., 2021 [56] |
Crop diseases, environmental consciousness, knowledge, perceived behavioral control and perceived benefits |
Belgium, France, Germany, the Netherlands and Spain |
Biodiversity preservation |
| Rust et al., 2021 [129] |
Subjective norms and information sources |
The UK |
Other CSA practices |
| Schukat and Heise, 2021 [71] |
Farmer skills, motives, subjective norms, lack of infrastructure, perceived usefulness, perceived trustworthiness and perceived benefits |
Germany |
Smart farming technologies, digital tools and AI |
| Zhllima et al., 2021 [130] |
Age, farm ownership, household size, educational level, awareness, motives, attitudes, perceived behavioral control, subjective norms and legal framework |
Albania |
Organic Farming |
| Ambrosius et al., 2022 [131] |
Motives, social learning and market demand |
The Netherlands |
Organic Farming |
| Bagagiolo et al., 2022 [27] |
Age, gender, educational level, knowledge, motives and social learning |
Italy |
Natural resources preservation |
| Bai et al., 2022 [26] |
Age, gender, full-time farmer, educational level, size of arable land, farmer skills, perceived behavioral control and perceived compatibility |
Hungary |
Smart farming technologies, digital tools and AI |
| Barnes et al., 2022 [63] |
Age, off-farm income, size of arable land, farm ownership, farming experience, educational level, farm successor, farm location, knowledge, risk aversion and labor availability |
Scotland |
Renewable energy sources |
| Bernier et al., 2022 [132] |
Age, legal framework, perceived costs and perceived benefits |
Switzerland |
Biodiversity preservation |
| Blasch et al., 2022 [55] |
Age, on-farm income, educational level, farm size, size of arable land, awareness, subjective norms, social learning, perceived costs and perceived benefits |
Italy |
Smart farming technologies, digital tools and AI |
| Bodescu et al., 2022 [133] |
Perceived behavioral control, extension and advisory services, financial support, lack of verified impact, perceived usefulness, perceived ease of use and perceived costs |
Sweden |
Smart farming technologies, digital tools and AI |
| Caffaro et al., 2022 [134] |
Motives |
Italy |
Other CSA practices |
| Giua et al., 2022 [135] |
Social networks, age, educational level, size of arable land, lack of infrastructure, short supply chain, perceived usefulness, perceived ease of use and farm outputs |
Italy |
Smart farming technologies, digital tools and AI |
| Happel et al., 2022 [48] |
Environmental consciousness, farmer skills, trust, subjective norms, social learning, collective decisions and participatory approach, information sources, extension and advisory services, legal framework, lack of verified impact, perceived trustworthiness, perceived costs and perceived benefits |
The Netherlands |
Natural resources preservation |
| Huettel et al., 2022 [136] |
Attitudes, perceived behavioral control and subjective norm |
Germany |
Smart farming technologies, digital tools and AI |
| Király et al., 2022 [36] |
Extreme weather conditions, precipitation, awareness, motives, information sources, extension and advisory services |
Hungary |
Organic Farming |
| Lähdesmäki, and Vesala, 2022 [137] |
Weed pressure, knowledge, resistance to change, motives, attitudes, social norms, financial support, lack of verified impact and perceived costs |
Finland |
Organic Farming |
| Leonhardt and Uehleke, 2022 [42] |
Age, educational level and motives |
Austria |
Natural resources preservation |
| Linares et al., 2022 [89] |
Collective decisions and participatory approach, extension and advisory services, access to market, short supply chains, legal framework, financial support and degree of bureaucracy |
Austria, Switzerland, Czechia, Germany, Spain, Finland, France, Greece, Italy, Hungary, Lithuania, Latvia, Romania, Sweden and the UK |
Other CSA practices |
| López-Serrano et al., 2022 [87] |
Marketing and communication campaigns, legal framework, financial support and perceived benefits |
Spain |
Natural resources preservation |
| Maurizio et al., 2022 [96] |
Age, educational level, attitudes, degree of bureaucracy, perceived compatibility, perceived ease of use and perceived benefits |
Italy |
Organic Farming |
| Möhring and Finger, 2022 [67] |
Age, on-farm income, educational level, farm successor, size of arable land, farm location, temperature, risk aversion, social learning, perceived costs, perceived benefits, farm outputs and labor availability |
Switzerland |
Natural resources preservation |
| Petrescu-Mag et al., 2022 [138] |
On-farm income, extreme weather conditions, precipitation, crop diseases, awareness, lack of infrastructure and perceived benefits, |
Romania |
Natural resources preservation |
| Polge and Pagès, 2022 [139] |
Subjective norms, social learning, extension and advisory services, membership in a cooperative and short supply chain |
France |
Other CSA practices |
| Pombo-Romero et al., 2022 [59] |
Farm successor, farm size, farmer skills, risk aversion, social networks, farm outputs, perceived costs and legal framework |
Spain |
Renewable energy sources |
| Ryschawy et al., 2022 [49] |
Knowledge, trust, social networks, collective decisions and participatory approaches, extension and advisory services and legal framework |
France |
Natural resources preservation |
| Tensi et al., 2022 [45] |
Age, on-farm income, gender, household size, educational level, farm location, motives, perceived behavioral control, extension and advisory services and membership in a cooperative |
The Netherlands and Germany |
Biodiversity preservation |
| Todorova, 2022 [93] |
Attitudes, legal framework and perceived benefits |
Bulgaria |
Organic Farming |
| Vecchio et al., 2022 [140] |
Perceived ease of use |
Italy |
Smart farming technologies, digital tools and AI |
| Verburg et al., 2022 [2] |
Marketing and communication campaigns, lack of research, education, and knowledge, direct marketing, market demand, legal framework, financial support, availability of certification and perceived costs |
The Netherlands, Denmark and Austria |
Organic Farming |
| Young et al., 2022 [53] |
Resistance to change, motives, perceived behavioral control, subjective norms, social learning, lack of research, education, and knowledge, social norms, collective decisions and participatory approach, market demand, extension and advisory services, short supply chains, direct marketing and financial support |
France |
Natural resources preservation |
| Zafeiriou et al., 2022 [141] |
Financial support, perceived costs, perceived benefits and farm outputs |
Greece |
Natural resources preservation |
| Anastasiou et al., 2023 [11] |
Extension and advisory services, perceived usefulness, perceived costs, membership in a cooperative, knowledge, legal framework and financial support |
Spain, Greece, Germany and Italy |
Smart farming technologies, digital tools and AI |
| Chylinski et al., 2023 [142] |
Extension and advisory services and information sources |
Switzerland, France, the Netherlands, Lithuania and the UK |
Organic Farming |
| Czibere et al., 2023 [143] |
Educational level, farming experience, farm size, perceived benefits, innovativeness, extension and advisory services, perceived behavioral control and membership in a cooperative |
Hungary |
Smart farming technologies, digital tools and AI |
| De Witte et al., 2023 [144] |
Collective decisions and participatory approach and extension and advisory services |
Spain |
Other CSA practices |
| Ha et al., 2023 [145] |
Age, gender, educational level, farm ownership, on-farm income, availability of certification, subjective norms, attitudes, perceived behavioral control and knowledge |
Sweden |
Other CSA practices |
| Krzyszczak et al., 2023 [146] |
Knowledge, degree of bureaucracy and attitudes |
Poland |
Other CSA practices |
| Masi et al., 2023 [147] |
Perceived ease of use, perceived costs, financial support, age, farm size, gender, extension and advisory services |
Italy |
Smart farming technologies, digital tools and AI |
| Meral and Millan, 2023 [148] |
Farming experience, labor availability, perceived compatibility, farm size, attitudes, age, educational level, household size and farm location |
Turkey |
Organic Farming |
| Monteiro Moretti et al., 2023 [149] |
Perceived benefits |
Germany and Switzerland |
Smart farming technologies, digital tools and AI |
| Ortega et al., 2023 [150] |
Legal framework, knowledge and lack of infrastructure |
Spain and Portugal |
Biodiversity preservation |
| Pelissier et al., 2023 [151] |
Perceived benefits, extension and advisory services, membership in a cooperative, financial support and perceived behavioral control |
Slovakia and Hungary |
Smart farming technologies, digital tools and AI |
| Schneider et al., 2023 [152] |
Degree of bureaucracy, legal framework, financial support, extension and advisory services, collective decision and participatory approach and perceived compatibility |
Germany |
Renewable energy sources |
| Troiano et al., 2023 [153] |
Perceived costs, financial support, extension and advisory services and motives |
Italy |
Smart farming technologies, digital tools and AI |
| Wang et al., 2023 [154] |
Subjective norms and social networks |
Switzerland |
Other CSA practices |
| Zieliński et al., 2023 [155] |
Educational level and on-farm income |
Poland |
Natural resources preservation |
| Feisthauer et al., 2024 [156] |
Attitudes, innovativeness, perceived trustworthiness, financial support and legal framework |
Germany |
Smart farming technologies, digital tools and AI |
| Feisthauer et al., 2024 [157] |
Attitudes, subjective norms and perceived behavioral control |
Germany |
Smart farming technologies, digital tools and AI |
| Follett et al., 2024 [158] |
Farm ownership, perceived costs, extreme weather conditions and perceived behavioral control |
Wales |
Other CSA practices |
| Mooney et al., 2024 [159] |
Legal framework, extension and advisory services and information sources |
Britain, Ireland and France |
Biodiversity preservation |
