A soil moisture and fertility sensor system is presented that includes a plurality of probes and a monitoring system. The plurality of probes are configured to make nutrient, moisture, and/or other measurements of the soil at a plurality of depths. The monitoring system is communicatively connected to the plurality of probes and configured to receive data related to the measurements of the soil from the plurality of probes. In one or more arrangements, the monitoring system is configured to track soil status based on the data to facilitate review of and management of soil nutrient and/or moisture levels.

A method and system for managing nitrogen applied by nitrogen application equipment to a geographic region includes determining a growth stage for the geographic region using a crop module, and determining a nitrogen change for the geographic region based on the growth stage using a nitrogen change module, which can additionally or alternatively include determining an amount of nitrogen initially available for a geographic region.

The disclosure provides polynucleotides, polypeptides, transgenic plants, cells and vectors useful for crop plants to augment the basal level of aluminum and heavy metal tolerance.

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.

A soil analysis device is configured to create a soil sample solution. The device includes a reservoir configured to store an extractant, a mixing chamber coupled to the reservoir and configured to receive extractant from the reservoir and to receive a raw soil sample, and a control system. The control system is configured to determine an amount of extractant needed to produce, from the raw soil sample, a soil sample solution with a particular soil-to-extractant ratio and configured to cause the determined amount of extractant to be transferred from the reservoir to the mixing chamber.

A method for performing a soil analysis to determine quantities of one or more cations to be included in a soil treatment plan for an agricultural soil is described by either directly measuring or indirectly estimating the Zeta Potential of a soil sample. From these measurements or estimates appropriate quantities of water soluble cations (Ca, Mg, K, Na) can be determined and the Zeta Potential can be adjusted to a desired value. A method of estimating Zeta Potential is obtained from measurements of soluble and exchangeable cation concentrations, which are combined to generate Cation Relationship of Plants and Soil Solution (CROPSS) Value, and then through the use of a mapping relationship between a CROPSS value and Zeta Potential for reference soils, the CROPSS value can be used to determine the appropriate soil treatment to be applied that will adjust the Zeta Potential to a desired range or value.

The apparatus (1) for the analysis and management of a field (2), cultivated or intended to be cultivated, comprises: a first detection device (3) adapted for acquiring electromagnetic radiation emitted by vegetation (21) and/or soil (20) of the field (2) and adapted for producing first measurement signals representative of acquisitions performed; a second detection device (4) adapted for spectroscopic analysis of the soil (20) and adapted for producing second measurement signals representative of analyses performed; and a processing unit (6) comprising: a first analysis module (61) configured to obtain first data representative of the vegetation (21) and/or the soil (20) of the field (2), as a function of the first measurement signals; a second analysis module (62) configured to obtain second data of the soil (20) subject to detection, as a function of the second measurement signals; and an evaluation module configured to determine evaluation states of the analysed vegetation and soil, based on the respective first and second data.

A system for estimating moisture in soil includes a first antenna for transmitting RF signals, second antennas for receiving RF signals, and a controller configured to: emit, via the first antenna, RF signals at a plurality of frequency increments; determine a channel frequency response (CFR) based on amplitude attenuation and phase change of reflected RF signals detected by the second antennas; determine a power delay profile (PDP) for the second antennas based on the CFRs; extract a subset of the reflected RF signals using peak detection on the PDPs; and for each layer of the soil and for each of the subset of reflected RF signals, determine: i) a wavelength of the reflected RF signal in the layer, ii) an estimated depth of the layer, iii) a dielectric permittivity of the layer based on the wavelength, and iv) an estimated moisture content of the layer based on the dielectric permittivity.

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 post-harvest crop management platform is provided for regulating conditions of an agricultural crop being dried and/or stored. The platform utilizes data collected from sensors positioned proximate to, or embedded within, an agricultural crop, and analyzes selected crop characteristics affecting the stored crop in multiple sections thereof. The platform identifies parameters relative to achieving a desired crop characteristic level in the agricultural crop, generates a profile of the selected crop characteristic across the multiple sections of the stored crop, and models an application of a fluid flow pattern to achieve the desired crop characteristic level in each section. The crop storage monitoring and management platform also actuates a multi-stack assembly, configured within the stored crop, to automatically apply the fluid flow pattern in one or more cycles that are adjustable to changing conditions within the stored crop in real time. The crop storage monitoring and management platform further integrates with, and connects to and communicates with, other systems within an autonomous field activity ecosystem.