This is a presentation of results of the challenge #1 Crop Detection of the Agrihub INSPIRE Hackathon 2021.

1. Challenge #1
CROP DETECTION
Herman SNEVAJS, Iva BARTLOVA

2. TASKS OF THE CHALLENGE
1. different input dataset
2. pre-process data using unsupervised
classification
3. improve accuracy of Sentinel-1 classification
4. application of crop classification

3. TASK1: DIFFERENT DATASETS
SOLUTION: NORMALIZED DIFFERENCE
MOISTURE INDEX
RESULT: THE SAME ACCURACY

4. TASK2: PREPROCESSING OF INPUT LAYERS
SOLUTION: UNSUPERVISED CLASSIFICATION
RESULT: LOWER ACCURACY

5. TASK3: IMPROVE ACCURACY OF SENTINEL-1
CLASSIFICATION
SOLUTION: SMOOTHING OF RADAR IMAGES
RESULT: THE SAME ACCURACY

6. TASK4: APPLICATION OF THE RESULTS
SOLUTION: NEGOTIATING WITH STATE
AGRICULTURE INTERVENTION FUND
AGRICULTURE
COMMODITY TRADE
FOOD INDUSTRY
FOOD SECURITY
RESULT: IN PROGRESS

7. Herman SNEVAJS
snevajs@lesprojekt.cz