| Title |
A Decision Support System for Sustainable Agriculture and Food Loss Reduction under Uncertain Agricultural Policy Frameworks |
| ID_Doc |
63319 |
| Authors |
Barons, MJ; Walsh, LE; Salakpi, EE; Nichols, L |
| Title |
A Decision Support System for Sustainable Agriculture and Food Loss Reduction under Uncertain Agricultural Policy Frameworks |
| Year |
2024 |
| Published |
Agriculture-Basel, 14, 3 |
| DOI |
10.3390/agriculture14030458 |
| Abstract |
The EU Green Deal requires the reduction in pesticides and fertilisers in food crop production, whilst the sustainable development goals require reductions in food loss and food waste. In a complex and interacting system like the food system, these goals are difficult to coordinate. Here, we show an approach using Bayesian network modelling for decision support. Bayesian networks are important tools for modelling complex systems which may develop emergent behaviour and for providing quantitative comparisons for different candidate policies, approaches or interventions under the Integrating Decision Support System paradigm. Using lettuce as an exemplar crop, we demonstrate that expected food loss changes under different agricultural input reduction and integrated pest management combinations can be quantified to aid decision making for growers. |
| Author Keywords |
Bayesian networks; integrated pest management; EU Green Deal; sustainable development goals; Integrating Decision Support Systems |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001191347300001 |
| WoS Category |
Agronomy |
| Research Area |
Agriculture |
| PDF |
https://www.mdpi.com/2077-0472/14/3/458/pdf?version=1710229486
|