Ground truthing refines interpretations, capturing local variations that remote sensing might miss
Soil samples calibrate geophysical measurements, optimising precision agriculture strategies for individual fields
Accurate data from ground truthing enhances farmers' confidence in making informed land management choices
Understanding the soils first, is paramount to understanding yield and biomass results
Soil composition and health indicators can guide the type and amount of inputs required, reducing wastage and enhancing efficiency
Without a deep understanding of the soil's characteristics, any agricultural strategy will lack the base it requires for optimal results
Proper expert analysis is vital for accurate data interpretation and effective prescription map creation
Incorrect analysis can lead to inefficiencies, misapplication of soil treatments, and potential nutritional issues
Crafting valuable VR maps demands a careful balance, highlighting the importance of experienced insight
The method of soil sampling is crucial for obtaining representative and actionable data. Targeted sampling, for instance, focuses on specific areas or zones within a field identified as unique or problematic. This approach provides detailed insights into localized issues, allowing for precise interventions. By tailoring the sampling method to the specific needs and conditions of the land, farmers and agronomists can make more informed decisions, optimizing resources and ensuring soil health.
EM and gamma data, through interpolated maps, offer the kind of predictive modelled coverage that would be far too expensive to conduct with soil sampling. Other methods and theories are available by other service providers, but we adopt a highly critical approach to our own methods, always striving to improve on an already efficient system.
The fundamental reality is that all plant growth is driven by sunlight and water. The only thing under human management to some extent, is the soil, which is the next most important factor in plant growth. Understanding the soils first, is paramount to understanding yield and biomass results, not the other way around. Yield and biomass imagery can be utilised in fertiliser replacement strategies, or as a variable rate application if the season is looking optimistic, then applying more, as long as the forecasts look favourable.
Time and efficiency loss can be a major downside if the analysis is not properly conducted. If the data is misinterpreted, there could be a poor zoning map applied for a soil ameliorant product for example, that may not be required, or may be too much, leading to nutritional problems, poor ROI per hectare and wasted time and energy through logistics. Balance is required with variable rate prescriptions, it needs a reasonable approach while being mindful of the pitfalls, therefore experience is really highly sought after.