I believe you can choose among some methods, however it is very important to have some idea about the native variation of soil fertility. We are used to use grid sampling methods and management zone. Although you can join both methods to obtain a larger precision, I galvanize you to choose the best one for the regional conditions. For example, if you know the area has different concentrations of sand and clay, you can use it as a indicator of management zone, before to collect the soil samples in grid. An exploratory knowledge of the area is also very important, using information like native plants and their distribution as well as the position in the toposequence.
I would suggest to follow a free grid system to collect samples across sequence. Probably targeting key indicators is important to select the modeling tools, as soil fertility is a combination of factors. One option is also to develop a composite indicator ..
Based my experience for mapping you need interpolation and the best classic method is kriging but I worked on fuzzy kriging and this method had better results.
First of all, assessment of the soil fertility is very complex due to the different soil properties involved on that (physical, chemical and biological soil properties). However, the main focus in soil fertility is to manage the nutrient status and you can work based on that. For example you can use Fuzzy Logic Models for modeling soil fertility classes. A good literature about the different models that you can use is “Environmental soil-landscape modeling” edited by Sabine Grunwald.
I believe that you can got very comprehensive information and knowlwdge from prof.dr.sc. Zdenko Lončarić, from Agricultural fakulty Osijek, Croatia: contact: [email protected]; www.pfos.hr/~zdenkol
Hello to you! I think that the model used for the assessment of the soil fertility is the Pedo-Biological Diagnosis of Soil Resources (DIPEBIOS). Pedo-Biological Diagnosis of Soil Resources (DIPEBIOS) is the synthetic matrix representation of the soil biological activity, having the role to quantify its physiological potential. For this reason we considered that the assessment file of the soil biological activity must contain the most important 10 pedo-biological indicators: soil respiration, celulosolyse, catalase, invertase, urease, total phosphatase Indicator of Vital Activity Potential, Indicator of Enzymatic Activity Potential, Biological Synthetic Indicator and dehydrogenase activity. In this way, I suggest to you to follow the attached paper.
You can appreciate the fertility of the soil by the main chemical analysis, then evaluates the ferility level using the method described under my name in Research Gate (Complex indicator for assessing soil fertility). Further the results are used to draw the map of soil fertility.
Or you can use Soil map from WRB to convert it to Soil fertility Capability Classification map (FCC from Sanchez et al). Based on the correlation of Soil diagnostic horizones, properties, material with Soil fertility modifiers from FCC. Then convert soil unit from Soil map to Soil fertility map, including the soil constraints, recommendation from FCC
For Biosystems & Ag Engineering's Variable Rate Technology fertilizer application the prototype adjusted the application rate over one square meter blocks.
If I remember correctly sensor with a view of 1 m by 20 mm was integrated into a one square meter block.
There were substantial differences in the reflection of Red and Near Infrared over the one meter distance.
I just did some work at the start of the project. The variability of the fertility seemed to be change a good deal over a very small area. Searches for:
Biosystems & Ag Engineering's Variable Rate Technology
Kindly check the followinmg wesbsite: http://www.iiss.nic.in/districtmap.html where soil fertility of Indian states are mapped . For more details contact [email protected]