Problems to solve and objectives to achieve
| Problems to solve-Objectives to achieve | 37 | |
|---|---|---|
| Increase efficiency and maximise the farm return | 26 | |
| 15 | |
| 12 | |
| 6 | |
| 4 | |
| 4 | |
| Manage the environmental impact and external changes | 24 | |
| 14 | |
| 8 | |
| 6 | |
| 4 | |
| 3 | |
| 1 | |
| 1 | |
| Predict and manage the farm complexity | 19 | |
| 11 | |
| 9 | |
| 4 | |
| 2 | |
| 2 | |
| Feed the increasing global population-food security | 9 | |
| Other objectives | 2 | |
| 1 | |
| 1 |
| Problems to solve-Objectives to achieve | 37 | |
|---|---|---|
| 26 | ||
Yields improvement and optimization | 15 | |
Optimal water management | 12 | |
Manage the new customer demand | 6 | |
Reduction of losses in the agrifood chain | 4 | |
Inefficiency of manual monitoring and time-savings | 4 | |
| 24 | ||
Desertification, lack of fertility soil and scarcity of land | 14 | |
Climate change and environmental management | 8 | |
Reduce the environmental impact and avoid contamination of land and sea | 6 | |
Reduce the usage of insecticides and pesticides | 4 | |
Weed control | 3 | |
Bees' colony losses | 1 | |
Promoting and introducing new varieties of crops | 1 | |
| 19 | ||
Manage the farm complexity increasing efficiency and predictability | 11 | |
Simulate physical scenario | 9 | |
Crop disease detection | 4 | |
Optimal sowing date prediction | 2 | |
Prevision of optimal harvest date | 2 | |
| 9 | ||
| 2 | ||
Lack of fertilizers in some developing countries | 1 | |
Stimulate an inclusive ownership and participation strategy with equitable outcomes in the market | 1 |
Source(s): Authors work