会议论文详细信息
1st Workshop on Metrology for Agriculture and Forestry
Exploring the impact of innovation adoption in agriculture: how and where Precision Agriculture Technologies can be suitable for the Italian farm system?
农业科学;数学
Bucci, G.^1 ; Bentivoglio, D.^1 ; Finco, A.^1 ; Belletti, M.^1
Department of Agricultural, Food and Environmental Sciences (D3A), Polytechnic University of Marche Region, Brecce Bianche, Ancona
60131, Italy^1
关键词: Digital transformation;    Farming practices;    Information and communications technology;    Innovation adoption;    Internet of thing (IOT);    Multi-criteria decision analysis;    Precision agriculture technology;    Technological innovation;   
Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/275/1/012004/pdf
DOI  :  10.1088/1755-1315/275/1/012004
学科分类:农业科学(综合)
来源: IOP
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【 摘 要 】

Starting from the twenty-first century, the digital paradigm has brought with it a new way of thinking about innovation within the firms through the introduction of the Internet of Things (IoT) and the Information and Communications Technology (ICT), keys factors of digital transformation technologies. In addition, the use of Precision Agriculture (PA) has created a new approach to farming practices, allowing farmers to reduce the inputs, while protecting natural resources. Today, also in Italy PA is starting to be an effective technological innovation potentially capable to improve farms efficiency and sustainability. Given these considerations, the present paper aims, firstly, to review the factors more affect the adoption of precision agriculture technologies (PATs); secondly, to investigate where the PATs could be convenient to apply in Italy. A multi-Criteria Decision Analysis method is performed to achieve this goal. The analysis shows that the geographical area more likely to use PATs in Italy is the North East territory. However, in Italy, the adoption of these technologies in agriculture meets various obstacles: the cultural barrier to innovation and a limited awareness of benefits; the reduced average size of farms, with the difficulty of investing in and appreciating the benefits of PATs.

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