Precision Agriculture in rice cropping

1. Project area: 36 paddies allocated in 100 hectares (cv. Bonnet and Ronaldo)
2. Using analysis of last year multispectral satellite images, from three characteristic crop growth stages for the detection of preliminary management zones
3. Unmanned Aerial Vehicle (UAV) flights equipped with a multispectral sensor of very high resolution for the optimization of the zones
4. Soil sampling per zone and analysis of the soil samples (70 samples from 36 paddies)
5. Fertilizer recommendations per zone using a precision fertilizer software
6. Fertilizer application using Variable Rate Technology (VRT)

     
1. Detailed mapping and encoding of the rice fields using maps created by very high resolution satellite images

2. Delineation of management zones by quantification of the spatial variability based on time series of satellite images

3. Preliminary definition of management zones for the field plots 1-17. A UAV flight took place before seeding.

 

4. Soil sampling and full soil analysis per management zone
5. Soil analysis results per management zone
6. In every case, the soil analysis confirmed the initial field zoning

 

7. The fertilizer requirements per zone are calculated according to the soil analysis results
8. Zone simplification and targeted fertilization (the values show the total dose per zone per stremma for each fertilizer)

 

     
Fertilizer application took place using special equipment and tractors. The fertilizer dispenser applied the fertilizer based on the map zones.

 

Using the right data, it's easier to make decisions...

We are expecting: uniform and increased production and quality improvement

While in parallel:

1. We correct the phosphorus and potassium deficiency, which occurred the last years due to the unsound fertilization
2. We reduce plant protection products which are used for spraying
3. We reduce the amount of fertilizers escaping to the environment

and finally know exactly what we do...