Driving factors behind precision livestock farming tools adoption: The case of the pedometer on dairy farms

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
R. Selvaggi , G. Pappalardo , C. Zarbà , J.L. Lusk
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引用次数: 0

Abstract

CONTEXT

The development of new advanced technologies has led to rapid changes livestock production systems. Precision livestock farming (PLF) uses digital devices that gather, process and examine specific physiological, behavioral and production indicators to improve control of individual animals. Regarding dairy farming, despite the wide scientific debate, the digital devices (i.e., pedometers) are not widely used among farmers, and as such, market data are unavailable to study farmer demand for the technology. In literature, the exact causes that favor or discourage the adoption of digital devices have not yet been identified.

OBJECTIVE

The aim of the work was to estimate dairy farmers' willingness to pay (WTP) for an innovative prototype of pedometer that does not need IT infrastructure to work but can operate autonomously, related to factors not yet investigated, and in particular the “payment method”, “type of data provided” by the device, the “convenience of use” and the “price”.

METHODS

We conducted a choice experiment (stated preference method) to determine dairy farmers demand for pedometers and their willingness-to-pay.

RESULTS AND CONCLUSIONS

Farmers are likely to purchase the pedometer under certain conditions and with specific functions:

  • through a monthly subscription associated with the technical support service;

  • for a trial period and possibly returning it at the end of the period;

  • reading data provided by the pedometer through their smartphones;

  • having information related to estrus prediction rather than other related to animal welfare.

SIGNIFICANCE

The results provide a useful contribution to understand the influencing factors of the underutilization of digital devices by dairy farmers. The issue of digital device adoption has become crucial for increasing the competitiveness of dairy farms especially in the current historical period when issues of sustainability and digitization have become of great importance. New solutions or strategies need to be thought of that enable the use of such devices that are technically easy to use and economically more affordable for farmers.

Abstract Image

采用精准畜牧业工具背后的驱动因素:奶牛场计步器案例
新先进技术的发展使畜牧生产系统发生了迅速变化。精准畜牧业(PLF)使用数字设备收集、处理和检查特定的生理、行为和生产指标,以改善对动物个体的控制。在奶牛养殖方面,尽管科学界进行了广泛的讨论,但数字设备(即计步器)并未在农民中广泛使用,因此,没有市场数据来研究农民对该技术的需求。在文献中,尚未发现有利于或阻碍采用数字设备的确切原因。这项工作的目的是估算奶农对创新型计步器原型的支付意愿(WTP),这种计步器不需要 IT 基础设施即可工作,而且可以自主运行,与尚未调查的因素有关,特别是 "支付方式"、设备 "提供的数据类型"、"使用便利性 "和 "价格"。我们进行了一项选择实验(陈述偏好法),以确定奶农对计步器的需求及其支付意愿。在特定条件和特定功能下,奶农有可能购买计步器:研究结果为了解奶牛场主未充分利用数字设备的影响因素做出了有益贡献。数字设备的采用问题已成为提高奶牛场竞争力的关键,尤其是在当前可持续发展和数字化问题变得非常重要的历史时期。需要考虑新的解决方案或战略,使这些设备在技术上易于使用,在经济上农民更能负担得起。
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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
期刊介绍: Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.
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