Agricultural soil quality monitoring

K-INN Tech regularly performs detection and monitoring campaigns on agricultural soils designated for cultivation and periodically fertilized with composted amendments. These operations aim to verify the presence of potential contaminants and assess soil suitability for agricultural activities. K-INN Tech analyzes the main agronomic parameters that define soil fertility and overall health.

Sampling soil is important because it enables:

• Nutritional assessment of the soil: soil sampling is essential for evaluating nutrient availability, optimizing agronomic practices to maximize crop yields.
• Soil pollution monitoring: this practice helps identify contaminants like heavy metals and pesticides, contributing to environmental safety and human health.
• Sustainable soil management: through sample analysis, farmers and environmental experts can adopt sustainable practices, reducing environmental impact and enhancing sustainability.
• Precision farming: collecting accurate data allows for the customization of agricultural practices, reducing waste and optimizing resource use.

How is soil sampling done?

K-INN Tech personally handles all crucial steps of the activity:

• Site selection: identifying the most representative sites in the area of interest, considering variables such as soil type, slope, and land use.
• Adequate equipment: selecting the most suitable tools (such as augers or samplers) to obtain representative samples at various soil depths.
• Sufficient sample quantity: collecting an adequate number of samples to ensure an accurate representation of soil variability.
• Labeling and preservation: carefully labeling all samples, indicating collection depth and location. Samples are then stored in clean glass containers to prevent contamination.
• Laboratory analysis: finally, the samples undergo laboratory analysis to evaluate parameters like pH, chemical composition, agronomic properties, and any contaminants.

Investing in accurate soil sampling practices provides essential data for informed decision-making and promotes responsible management of natural resources.