A system and method for determining soil properties, such as organic matter (OM), pH, and electrical conductivity (EC) using a mobile soil sample station and a multispectral sensor mounted on a multi-rotors or professional fixed-wing drone. Combined with an optional fixed soil sampling station and mathematical modeling (built with Cloud-based database with iterative learning process) calibration, the system and method improve soil analysis by enabling real time examination, as well as improving affordability and efficiency.

An agricultural machine includes a furrow opener and a furrow closing system and a controller that performs closed loop control of the furrow closing system.

Compositions for testing soil to measure one or more of the following properties of soil: pH, buffer pH, potassium, phosphorus, calcium, and/or magnesium. Test methods for testing soil to measure one or more of the following properties of soil: pH, buffer pH, potassium, phosphorus, calcium, and/or magnesium. A multichamber cartridge containing two or more of the compositions in separate chambers.

An automated computer-controlled sampling system and related methods for collecting, processing, and analyzing agricultural samples for various chemical properties such as plant available nutrients. The sampling system allows multiple samples to be processed and analyzed for different analytes or chemical properties in a simultaneous concurrent or semi-concurrent manner. Advantageously, the system can process soil samples in the as collected condition without drying or grinding. The system generally includes a sample preparation sub-system which receives soil samples collected by a probe collection sub-system and produces a slurry (i.e. mixture of soil, vegetation, and/or manure and water), and a chemical analysis sub-system which processes the prepared slurry samples for quantifying multiple analytes and/or chemical properties of the sample. The sample preparation and chemical analysis sub-systems can be used to analyze soil, vegetation, and/or manure samples.

An automated computer-controlled sampling system and related methods for collecting, processing, and analyzing agricultural samples for various chemical properties such as plant available nutrients. The sampling system allows multiple samples to be processed and analyzed for different analytes or chemical properties in a simultaneous concurrent or semi-concurrent manner. Advantageously, the system can process soil samples in the as collected condition without drying or grinding to produce a sample slurry. The system includes a chemical analysis sub-system which processes and analyzes the prepared slurry for quantifying multiple analytes and/or chemical properties of the sample. The chemical analysis sub-system may be embodied in a multi-layered microfluidic manifold processing substrate comprising microfluidic devices which extract and quantify the concentration of analytes or other chemical parameters associated with the sample. The system can be used to analyze various type of agricultural-related samples including soil, vegetation, manure, milk or other.

Disclosed are methods of producing nutrient solutions having unique isotopic fingerprints; methods of producing traceable plants; and methods of identifying the source of a traceable plant that does not rely on expensive artificially separated isotopes. Plants grown with these nutrient solutions will have unique isotopic fingerprints that will be difficult or impossible to counterfeit.

A system for analyzing soil content of a field includes a data acquisition unit configured to detect gamma spectra of each of a plurality of soil samples, wherein a surface area of the field is divided into a plurality of portions and the plurality of soil samples comprises at least one soil sample from each of the plurality of portions, a navigation unit configured to detect geographic coordinates of each of the plurality of soil samples, a data analysis unit configured to associate the detected gamma spectra of each of the plurality of soil samples with the geographic coordinates of the soil sample and determine a weight percent of at least one element within each of the soil samples based on the detected gamma spectra, and an element content map unit configured to generate a map indicating concentration of the at least one element within the soil of the field.

An automated computer-controlled sampling system and related methods for collecting, processing, and analyzing agricultural samples for various chemical properties such as plant available nutrients. The sampling system allows multiple samples to be processed and analyzed for different analytes or chemical properties in a simultaneous concurrent or semi-concurrent manner. Advantageously, the system can process soil samples in the as collected condition without drying or grinding. The system generally includes a sample preparation sub-system which receives soil samples collected by a probe collection sub-system and produces a slurry (i.e. mixture of soil, vegetation, and/or manure and water), and a chemical analysis sub-system which processes the prepared slurry samples for quantifying multiple analytes and/or chemical properties of the sample. The sample preparation and chemical analysis sub-systems can be used to analyze soil, vegetation, and/or manure samples.

A soil testing device includes a housing and at least one sensor assembly rotatably connected to the housing. The the at least one sensor assembly is configured to insert into soil and to output an electrical signal corresponding to a soil parameter to be displayed on a display unit. The at least one sensor assembly includes a rotating portion and a detecting rod, the rotating portion is connected with the detecting rod, and the rotating portion is disposed in the housing, the detecting rod extends out of the housing from an interior of the housing.

An apparatus and methods for analyzing the soil rooting zone for agricultural crops in high resolution to determine the mechanical resistance and related physical, mechanical and hydrological properties, and uses of this information in crop production. Uses include crop selection, real time seeding rate determination, field management prescriptions, yield prediction, assessment of root lodging risk, and real time planting depth determination.