Financial and environmental performance of integrated precision farming systems
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
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Financial and environmental performance of integrated precision farming systems. / Pedersen, Søren Marcus; Medici, M.; Anken, T.; Tohidloo, G.; Pedersen, Michael Friis; Carli, G.; Canavari, M.; Tsiropoulos, Z.; Fountas, S.
Precision agriculture ’19: Papers presented at the 12th European Conference on Precision Agriculture Montpellier, France 8-11 July 2019. ed. / John V. Stafford. Wageningen Academic Publishers, 2019. p. 833-839.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
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TY - GEN
T1 - Financial and environmental performance of integrated precision farming systems
AU - Pedersen, Søren Marcus
AU - Medici, M.
AU - Anken, T.
AU - Tohidloo, G.
AU - Pedersen, Michael Friis
AU - Carli, G.
AU - Canavari, M.
AU - Tsiropoulos, Z.
AU - Fountas, S.
N1 - Conference code: 12
PY - 2019
Y1 - 2019
N2 - Smart farming technologies have a wide potential to improve agricultural performance, ranging from improved use of crop nutrients and plant protection products, increased crop quality and reduced overlaps to better production economy. In order to reduce the use of inputs and to diminish the adverse effects on the environment, more and more focus is put on site-specific application of fertilizers, pesticides and irrigation water. However, the costs of implementing these technologies are often quite high, compared to the benefits. Therefore, a comprehensive methodology approach that facilitates the understanding of investments, costs and benefits can provide an overview of the most feasible pathways for farmers to implement precision agriculture (PA) and may offer the chance to significantly enhance the level of adoption of the most suitable technologies. The objective of this study is to describe an overall integrated methodology approach to support cost-benefit analysis related to PA. A number of scenarios and their financial and environmental performance are presented either as single technologies or as a combination of different technologies. Key outputs of the analysis are net present value with selected environmental indicators such as change in fuel, pesticides and water use compared with conventional practices from other similar technologies. Findings from this study indicate that PA is mainly beneficial to large scale farms.
AB - Smart farming technologies have a wide potential to improve agricultural performance, ranging from improved use of crop nutrients and plant protection products, increased crop quality and reduced overlaps to better production economy. In order to reduce the use of inputs and to diminish the adverse effects on the environment, more and more focus is put on site-specific application of fertilizers, pesticides and irrigation water. However, the costs of implementing these technologies are often quite high, compared to the benefits. Therefore, a comprehensive methodology approach that facilitates the understanding of investments, costs and benefits can provide an overview of the most feasible pathways for farmers to implement precision agriculture (PA) and may offer the chance to significantly enhance the level of adoption of the most suitable technologies. The objective of this study is to describe an overall integrated methodology approach to support cost-benefit analysis related to PA. A number of scenarios and their financial and environmental performance are presented either as single technologies or as a combination of different technologies. Key outputs of the analysis are net present value with selected environmental indicators such as change in fuel, pesticides and water use compared with conventional practices from other similar technologies. Findings from this study indicate that PA is mainly beneficial to large scale farms.
U2 - 10.3920/978-90-8686-888-9_103
DO - 10.3920/978-90-8686-888-9_103
M3 - Article in proceedings
SN - 978-90-8686-337-2
SP - 833
EP - 839
BT - Precision agriculture ’19
A2 - Stafford, John V.
PB - Wageningen Academic Publishers
T2 - European Conference on Precision Agriculture 2019
Y2 - 8 July 2019 through 11 July 2019
ER -
ID: 227134620