Influencing the Success of Precision Farming Technology Adoption — A Model-Based Investigation of Economic Success Factors in Small-Scale Agriculture
- Even more than 30 years after the introduction of precision farming technologies and studies of their benefits in terms of productivity gains and environmental improvements, adoption rates, especiallyEven more than 30 years after the introduction of precision farming technologies and studies of their benefits in terms of productivity gains and environmental improvements, adoption rates, especially for variable-rate technologies, are very low. In particular, in smallholder areas, farm managers are reluctant to adopt these technologies. Therefore, this study identifies factors that hinder or facilitate adoption from an economic perspective. Using a model-based sensitivity analysis with three farms of different sizes (11 ha, 57 ha and 303 ha), it is shown that larger farms have higher resilience to external factors due to economies of scale. In addition, it is clarified that the certainty of obtaining additional benefits with GPS guidance systems can explain the higher adoption rates in farming practice, although the additional benefits (per hectare and year) are much lower for this technology than for variable-rate technologies. Small farms (30 ha) are by no means excluded from the use of digital technologies, as it is shown that the influence of learning costs on profitability is very low, low subsidies can lead to a drastic reduction in the minimum farm size and the presence of low-cost technologies is an efficient solution which allows small farms to participate in the digital transformation of agriculture.…


| Author: | Johannes MunzORCiD, Heinrich Schüle |
|---|---|
| DOI: | https://doi.org//10.3390/agriculture12111773 |
| ISSN/eISSN: | 2077-0472 |
| Parent Title (English): | Agriculture |
| Publisher: | MDPI AG |
| Document Type: | Article |
| Language: | English |
| Date of Publication (online): | 2022/10/26 |
| Publishing Institution: | Hochschule Nürtingen-Geislingen |
| Release Date: | 2023/07/26 |
| Tag: | Agronomy and Crop Science; Food Science; Plant Science |
| Volume: | 12 |
| Issue: | 11 |
| Article Number: | 1773 |
| Institutes: | Fakultät Agrarwirtschaft, Volkswirtschaft und Management |
| Institute der HfWU Nürtingen-Geislingen / Institut für Angewandte Agrarforschung (IAAF) | |
| Licence (German): | Creative Commons - CC BY - Namensnennung 4.0 International |



