P18: Crop health (diseases and pests detection) | |
Maturity score | |
Mean: 2.6 | STD: 0.49 |
Constraints and limitations · Cloud presence · Challenges in fields with mixed land cover (multiple crops, bare soil, vegetation) · Depending on the crop/plant/disease, the accuracy can be very low, but sufficient for some use cases | |
Relevant user needs UN30: Need for monitoring with accurate measurements of the growth and health of trees. UN37: Projection of risk to portfolio assets into the future. UN55: Detecting crop damage at the level of individual farms/fields. | |
R&D gaps · Lacking the ability to differentiate specific disease types due to limited spectral discrimination. · Temporal coverage of the data from existing sensors at a high enough spatial resolution. · Similar spectral characteristics between pest damage and other vegetation stress factors require additional in-situ data. · Limitations in predictive analytics · When it comes to vegetation diseases, the biggest limitation in setting up an EO service is the lack of field data to validate it. · Lack of matureness of EO needs from stakeholders. Not clear to them what can be demanded or expected. · Inertia in using traditionally established analysis products, which mostly require human supervision. Greater credibility to human reports than to automatic remote monitoring. | |
Potential improvements drivers · Increased efforts in downscaling current sensor data to provide the necessary temporal coverage. · Additional in-situ data to calculate/validate the product in each region where it is needed. · Capacity building: workshops, meetings, more information about what EO can provide. · Improvements in models for predictive analytics. · Hyperspectral sensors to differentiate between different types of diseases. | |
Utilisation level review | |
Utilisation score | |
Mean: 2.20 | STD: 0.75 |
No utilisation Low utilisation · Unawareness of the existence of commercial EO products with better specifications · Lack of knowledge of executives and low-risk tolerance. Medium utilisation · Unawareness of the existence of the best available commercial EO product with better specifications High utilisation | |
Critical gaps related to relevant user needs | |
Guideline gap UN30: Need for monitoring with accurate measurement of the growth and health of trees. UN37: Projection of risk to portfolio assets into the future. Utilisation gap UN55: Detecting crop damage at the level of individual farms/fields |
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