A computer-implemented method of targeting grower fields for crop yield lift is disclosed. The method comprises receiving, by a processor, crop seeding rate data and corresponding crop yield data over a period of time regarding a group of fields associated with a plurality of grower devices; receiving, by the processor, a current seeding rate for a grower's field associated with one of a plurality of grower devices; determining, whether the grower's field will be responsive to increasing a crop seeding rate for the grower's field from the current seeding rate to a target seeding rate based on the crop seeding rate data and corresponding crop yield data; preparing, in response to determining that the grower's field will be responsive, a prescription including a new crop seeding rate and a specific hybrid to be implemented in the grower's field.

An agricultural trench depth sensing system and method includes a light source (2002), a receiver (2003) and a sensor (2004). The light source directs light downwardly toward a trench previously opened in a soil surface. The receiver is disposed at an angle relative to the light source to receive reflected light. A sensor connected to the receiver senses a pattern of the reflected light. A monitoring system in communication with the sensor, generates a data frame containing triangulated line coordinates and intensity values of the reflected light indicative of a measured depth of the trench. The generated data frame may be associated with GPS coordinates for generating spatial maps and may be used to control operating parameters. The generated data frames may also identify relative soil moisture versus trench depth, or presence of dry topsoil or residue in the trench, or to identify seeds, seed spacing and seed depth.

Systems, methods and apparatus are provided for monitoring soil properties including soil moisture and soil temperature during an agricultural input application. Embodiments include a soil moisture sensor and/or a soil temperature sensor mounted to a seed firmer for measuring moisture and temperature in a planting trench. Additionally, systems, methods and apparatus are provided for adjusting depth based on the monitored soil properties.

Subfield moisture model improvement in generating overland flow modeling using shallow water calculations and kinematic wave calculations is disclosed. In an embodiment, a computer-implemented data processing method comprises: receiving precipitation data and infiltration data for an agricultural field; obtaining surface water depth data, surface water velocity data, and surface water discharge data for the same agricultural field; determining subfield geometry data for the agricultural field; executing a plurality of water calculations and wave calculations using the subfield geometry data to generate an overland flow model that includes moisture levels for the agricultural field; based on, at least in part, the overland flow model, generating and causing displaying a visual graphical image of the agricultural field comprising a plurality of color pixels having color values corresponding to the moisture levels determined for the agricultural field. Output of the overland flow model is provided to control computers of seeders, planters, fertilizer spreaders, harvesters, or combines to control seeding, planting, fertilizing or irrigation activities in the field.

A modular system includes a hub and a set of modules removably coupled to the hub. The modules are physically coupled to the frame relative to each other so that each module can operate with respect to a different row of a field. An individual module includes a sensor for capturing field measurement data of individual plants along a row as the modular system moves through the geographic region. An individual module further includes a treatment mechanism for applying a treatment to the individual plants of the row based on the field measurement data before the modular system passes by the individual plants. An individual module further includes a computing device that determines the treatment based on the field measurement data and communicates data to the hub. The hub is communicatively coupled to the modules, so that it may exchange data between the modules and with a remote computing system.

A multi-scale habitat information-based method and device for detecting and controlling water and fertilizer for crops in seedling stage: performing fusion analysis on multi-scale features of the water and fertilizer stress of crops on the basis of crop canopy-scale three-dimensional laser scanning information, foliage-scale polarization-hyperspectral imaging information, and micro-scale micro-CT scanning information; combining the real-time feedback of the temperature, humidity, illumination and substrate moisture content within a crop growing greenhouse; by means of multi-information fusion modeling, comprehensively determining and feeding back the water and fertilizer stress of the crops as well as water requirement and fertilizer requirement information, and providing policy information for the amount of fertilization and irrigation. On the basis of the policy information for water and fertilizer, and on the basis of frequency conversion speed control technology and pipeline constant pressure control technology, a water and fertilizer control system controls the pressure of a pipeline and the flow rate of the fertilizer by means of dynamically controlling the rotation speed of an irrigation pump and a fertilizer pump, and thus, combined with the dynamic feedback of an EC value, the accurate control of a liquid fertilizer ratio and irrigation volume is achieved.

Systems, apparatuses, and methods as described herein relate to analyzing plant nutrient-yield relationships and identifying optimum plant fertilization strategies to improve individual plant yields and overall plant yields. Nutrient data and yield data for plants in all yield ranges, rather than nutrient data and yield data for only the best-performing plants, is categorized based on the yield data and then analyzed to determine the yield as a function of nutrient condition for each nutrient element for the plants in each yield category. The nutrient-yield function can be modeled using a polynomial equation of various orders that can be used for determining the nutritional condition to improve crop production for plants in each yield category.

In an embodiment, agricultural intelligence computer system stores a digital model of nutrient content in soil which includes a plurality of values and expressions that define transformations of or relationships between the values and produce estimates of nutrient content values in soil. The agricultural intelligence computer receives nutrient content measurement values for a particular field at a particular time. The agricultural intelligence computer system uses the digital model of nutrient content to compute a nutrient content value for the particular field at the particular time. The agricultural intelligence computer system identifies a modeling uncertainty corresponding to the computed nutrient content value and a measurement uncertainty corresponding to the received measurement values. Based on the identified uncertainties, the modeled nutrient content value, and the received measurement values, the agricultural intelligence computer system computes an assimilated nutrient content value.

A device for agricultural management includes a processing unit to determine at least one geographical location of an agricultural land area, the determination comprising utilization of a GPS unit. Agricultural data is provided from an input unit to the processing unit. The processing unit determines agricultural management data, the determination comprising utilization of the at least one geographical location and the agricultural data. An output unit outputs agricultural management information to a user of the device on the basis of the agricultural management data.

A system for measuring soil properties on-the-go using a narrow profile sensor unit is provided on an implement for traversing a field. The sensor unit includes a front disk/coulter arranged to open a slot in the soil, a runner assembly arranged to follow behind the front disk/coulter for sliding contact with the soil in the slot, and a rotating disk/spoked wheel arranged to follow behind the runner assembly to close the slot. The front disk or coulter serves as a first electrode of an electrode array, the runner assembly has second and third electrodes attached thereto, and the rotating disk/spoked wheel serves as a fourth electrode. The electrode array can be used to measure soil electrical conductivity at multiple depths and to measure soil moisture. An optical window and pH sensor can also be incorporated into the runner assembly to measure soil reflectance and soil pH.