Systems and methods for predictive management of plants. Agricultural (and natural resource) managers may have a multitude of data sets and data sources available, but often lack a meaningful or proven way to assimilate all available data and then conclusively select actions. For example, a vineyard manager may be able to collect data about local and regional weather, precipitation, disease prevalence, insect prevalence, pesticide use, crop varietal, cover crop selection and many other inputs to a predictive machine-learning vineyard management engine. As all this data is collected through local devices and third-party services, a prediction model may be used to determine specific outcomes or recommended actions based on the trained predictive model. For example, the model may be used to predict optimal harvest date, disease spread and vector spread, pest spread and impact, best pesticide use, irrigation plans, fruit quality, and the like.

Systems and methods for predictive management of plants. Agricultural (and natural resource) managers may have a multitude of data sets and data sources available, but often lack a meaningful or proven way to assimilate all available data and then conclusively select actions. For example, a vineyard manager may be able to collect data about local and regional weather, precipitation, disease prevalence, insect prevalence, pesticide use, crop varietal, cover crop selection and many other inputs to a predictive machine-learning vineyard management engine. As all this data is collected through local devices and third-party services, a prediction model may be used to determine specific outcomes or recommended actions based on the trained predictive model. For example, the model may be used to predict optimal harvest date, disease spread and vector spread, pest spread and impact, best pesticide use, irrigation plans, fruit quality, and the like.

A method and apparatus for controlling an agricultural harvesting campaign is disclosed in which predetermined harvesting activities are processed within a campaign timeline by a plurality of agricultural working machines of a machine fleet on a field allotment assigned to the harvesting campaign. The control of the harvesting campaign is executed on different application levels by continuously generating information, wherein the generated information is continuously provided to all of the application levels, and the generated data comprise remotely-sensed field information.

A method and apparatus for controlling an agricultural harvesting campaign is disclosed in which predetermined harvesting activities are processed within a campaign timeline by a plurality of agricultural working machines of a machine fleet on a field allotment assigned to the harvesting campaign. The control of the harvesting campaign is executed on different application levels by continuously generating information, wherein the generated information is continuously provided to all of the application levels, and the generated data comprise remotely-sensed field information.

A drive circuit is provided for controlling a solenoid valve having a solenoid coil. The drive circuit includes a first semiconductor device, a flyback circuit, and a processor. The first semiconductor is coupled in series with the coil and is controlled by a gate signal to energize the coil. The flyback circuit is in parallel with the coil and includes a series-coupled second semiconductor device and a diode. The second semiconductor is controlled by a flyback control signal to enable the flyback circuit when the first semiconductor is controlled by the gate signal to hold the valve open. The diode has a low forward voltage to slow decay of a current conducted through the coil. The processor generates the gate signal to control the first semiconductor and to reduce a duty cycle of the gate signal when the flyback circuit is enabled to reduce power consumption by the coil.

A drive circuit is provided for controlling a solenoid valve having a solenoid coil. The drive circuit includes a first semiconductor device, a flyback circuit, and a processor. The first semiconductor is coupled in series with the coil and is controlled by a gate signal to energize the coil. The flyback circuit is in parallel with the coil and includes a series-coupled second semiconductor device and a diode. The second semiconductor is controlled by a flyback control signal to enable the flyback circuit when the first semiconductor is controlled by the gate signal to hold the valve open. The diode has a low forward voltage to slow decay of a current conducted through the coil. The processor generates the gate signal to control the first semiconductor and to reduce a duty cycle of the gate signal when the flyback circuit is enabled to reduce power consumption by the coil.

A method for micro-ridge mixed-sowing cultivation of rice includes: S1: draining away water at the maturity stage of the preceding crop until reaching a state allowing a harvester to operate; S2: harvesting the preceding crop, leaving the stubble, smashing the stalks of the preceding crop, and then spreading the smashed stalks on the stubble to form a rhizosphere layer for rice growth; S3: trenching the field to form ecological trenches; S4: flattening the standing stubble and the smashed stalks on the seedbed surface to form an underlying surface, molding seed-fertilizer-soil compounds into a ridge shape and fall the seed-fertilizer-soil compounds on the underlying surface to form ecological ridges, wherein a plurality of ecological ridges are formed between adjacent ecological trenches, and the seed-fertilizer-soil compounds are obtained by thoroughly mixing rice seeds, chemical fertilizers and soil at a mass ratio of 6 to 14:50 to 70:6,000 to 10,000.

The invention relates to a method, a system and a computer program product for ascertaining a plant property of a useful plant in a field, wherein external data concerning the useful plant are stored in a memory unit, wherein a measurement device ascertains a raw measured value relating to at least one plant property, and wherein a calibrated or corrected value for the plant property is ascertained on the basis of the raw measured value taking account of the external data from the memory unit.

The invention relates to a method, a system and a computer program product for ascertaining a plant property of a useful plant in a field, wherein external data concerning the useful plant are stored in a memory unit, wherein a measurement device ascertains a raw measured value relating to at least one plant property, and wherein a calibrated or corrected value for the plant property is ascertained on the basis of the raw measured value taking account of the external data from the memory unit.

A method for increasing the efficiency of farming operations used in the production of sown crops. In the proposed method for cultivating sown crops, all bar none of the technological operations which are carried out in the field, beginning from pre-sowing preparation and ending with the gathering of a harvest, make use of a self-propelled power-operated technological device capable of functioning on tires having a super-low pressure of 5-60 kPa and/or with a pressure on the ground of less than 60 kPa. The proposed method is realized with the aid of a transport and technological system primarily for farming purposes, that utilizes a self-propelled power-operated vehicle on tires of super-low pressure operating among others at a pressure of 5 to 60 kPa and/or exerting a pressure of less than 60 kPa on the soil. This vehicle is equipped with a discharging device and/or a lifting device.