Speed control of machines and associated implements during transitions of agricultural parameters is described herein. In one embodiment, a processing system comprises processing logic to execute instructions for processing agricultural data and performing speed control of a machine and associated implement during a transition period for adjusting a setting of an agricultural parameter. A communication unit is coupled to the processing logic. The communication unit to transmit and receive data from the implement. The processing logic is configured to execute instructions to adjust the setting of the agricultural parameter and to determine a desired speed control during the transition period based on at least one of a desired transition distance and productivity during the transition period.

Systems and methods for utilizing a spatial statistical model to maximize efficacy in performing trials on agronomic fields are disclosed herein. In an embodiment, a system receives first yield data for a first portion of an agronomic field, the first portion of the agronomic field having received a first treatment, and second yield data, for a second portion of the agronomic field, the second portion of the agronomic field having received a second treatment that is different than the first treatment. The system uses a spatial statistical model and the first yield data to compute a yield value for the second portion of the agronomic field, the yield value indicating an agronomic yield for the second portion of the agronomic field if the second portion of the agronomic field had received the first treatment instead of the second treatment. Based on the computed yield value and the second yield data, the system selects the second treatment. In an embodiment, in response to selecting the second treatment, the system generates a prescription map, the prescription map including the second treatment. The system may also generate one or more scripts which, when executed by an application controller, cause the application controller to control an operating parameter of an agricultural implement to apply the second treatment.

Systems and methods for utilizing a spatial statistical model to maximize efficacy in performing trials on agronomic fields are disclosed herein. In an embodiment, a system receives first yield data for a first portion of an agronomic field, the first portion of the agronomic field having received a first treatment, and second yield data, for a second portion of the agronomic field, the second portion of the agronomic field having received a second treatment that is different than the first treatment. The system uses a spatial statistical model and the first yield data to compute a yield value for the second portion of the agronomic field, the yield value indicating an agronomic yield for the second portion of the agronomic field if the second portion of the agronomic field had received the first treatment instead of the second treatment. Based on the computed yield value and the second yield data, the system selects the second treatment. In an embodiment, in response to selecting the second treatment, the system generates a prescription map, the prescription map including the second treatment. The system may also generate one or more scripts which, when executed by an application controller, cause the application controller to control an operating parameter of an agricultural implement to apply the second treatment.

A soil apparatus is drawn through a furrow and reflectance from the furrow is obtained from the soil apparatus, and a height off target is measured between the soil apparatus and the furrow.

A soil apparatus is drawn through a furrow and reflectance from the furrow is obtained from the soil apparatus, and a height off target is measured between the soil apparatus and the furrow.

This disclosure relates generally to assessing soil carbon sequestration. One of the driving factors for climate change and global warming is emission of greenhouse gas emissions. Of the possible ways to reduce climate change and global warming adoption, sustainable agricultural practices will enable efficient soil carbon sequestration thereby reducing the greenhouse gases as well as increasing the crop yield. The disclosure is a method and a system for real time assessing soil carbon sequestration of farm based on remote sensing. The soil carbon sequestration of farm is assessed by continuously monitoring the farm at real time based on remote sensing using a plurality of satellite data and a plurality of farming data using several techniques. The several techniques utilized for assessing soil carbon sequestration includes machine learning, a carbon sequestration estimation technique, estimating a crop health index and an adoption index and computing a set of carbon sequestration parameters.

This disclosure relates generally to assessing soil carbon sequestration. One of the driving factors for climate change and global warming is emission of greenhouse gas emissions. Of the possible ways to reduce climate change and global warming adoption, sustainable agricultural practices will enable efficient soil carbon sequestration thereby reducing the greenhouse gases as well as increasing the crop yield. The disclosure is a method and a system for real time assessing soil carbon sequestration of farm based on remote sensing. The soil carbon sequestration of farm is assessed by continuously monitoring the farm at real time based on remote sensing using a plurality of satellite data and a plurality of farming data using several techniques. The several techniques utilized for assessing soil carbon sequestration includes machine learning, a carbon sequestration estimation technique, estimating a crop health index and an adoption index and computing a set of carbon sequestration parameters.

A system (1000) and method of marking soil or crops within afield with a visual strip (1001) to identify an occurrence of a detected event as an agricultural implement (10) traverses a field. The system includes an assembly (100, 200, 300, 500, 700, 800, 900) supported by the agricultural implement. The assembly includes a supply of a colored composition and an actuator (130, 330, 1030) configured to receive the actuation signals sent by the controller (80, 81). The actuator is responsive to the actuation signals to release the colored composition at the location on the field while the agricultural implement advances through the field in the forward direction of travel.

A system (1000) and method of marking soil or crops within afield with a visual strip (1001) to identify an occurrence of a detected event as an agricultural implement (10) traverses a field. The system includes an assembly (100, 200, 300, 500, 700, 800, 900) supported by the agricultural implement. The assembly includes a supply of a colored composition and an actuator (130, 330, 1030) configured to receive the actuation signals sent by the controller (80, 81). The actuator is responsive to the actuation signals to release the colored composition at the location on the field while the agricultural implement advances through the field in the forward direction of travel.

Described are various embodiments of a crop phenology characterisation method, and system using same. One embodiment relates to a method of monitoring a crop phenology, the method comprising acquiring a size measurement of a crop in a crop location over time, monitoring a first parameter calculated based at least in part on to a periodic recovery value of the size measurement, and a second parameter calculated at least in part based on a periodic growth value of the size measurement. In some embodiments, one or more of the first parameter and the second parameter are indicative of a crop characteristic. In some embodiments, an indication related to the crop characteristic may be provided in response to one or more of the first parameter and the second parameter.