The present disclosure provides a plant and animal health monitoring management system and its method. The plant and animal health monitoring management system comprise a plant and animal health monitoring unit, an AI and artificial integrated health control unit, a big data monitoring management center unit, a plant and animal operation supervision unit, and a data analysis monitoring unit. The AI and artificial integrated health control unit comprises an AI diagnosis and treatment control system, an AI treatment control system, an artificial intervention analysis system and an artificial intervention execution unit.

The present disclosure provides a plant and animal health monitoring management system and its method. The plant and animal health monitoring management system comprise a plant and animal health monitoring unit, an AI and artificial integrated health control unit, a big data monitoring management center unit, a plant and animal operation supervision unit, and a data analysis monitoring unit. The AI and artificial integrated health control unit comprises an AI diagnosis and treatment control system, an AI treatment control system, an artificial intervention analysis system and an artificial intervention execution unit.

Systems and methods of restoring a lake including dredging, island creation, water treatment, real estate development, computer modeling of environmental conditions, wave height reduction, sediment removal and encapsulation, bathymetry contouring, littoral zone restoration, plant restoration, and/or fish restoration.

Systems and methods of restoring a lake including dredging, island creation, water treatment, real estate development, computer modeling of environmental conditions, wave height reduction, sediment removal and encapsulation, bathymetry contouring, littoral zone restoration, plant restoration, and/or fish restoration.

Monthly average DLI values for a specified geographic location, or a greenhouse, polytunnel or other controlled environment at the specified geographic location, are calculated from historic reference data from weather stations. The calculations are a prediction based on the geographic similarity of the specified location to the locations of the weather stations. Calculations may also be based on the proximity of the weather stations. Weather data from satellites may also be used. A calculation indicates whether a proposed controlled environment in a specified geographic location will provide sufficient monthly DLI for a given crop with known DLI requirements. Where the DLI is insufficient, an amount of supplemental electric lighting is specified.

A method for reducing salinity stress symptoms in a seed plant, comprising the step of adding carbon-based nanomaterials into a salinity growth medium in which the seed plant is cultivated, the salinity growth medium is in a salinity condition which causes the seed plant cultivated in the growth medium demonstrates the salinity stress symptom.

A method for the management of a soil pest or pathogen is disclosed and which includes a source of high voltage electricity; at least one capacitor for storing the high voltage electricity; a multiplicity of electrodes inserted into a soil location having a soil pest and/or pathogen to be managed; and an electrical switch which is controllably opened and closes so as to form a pulse of electricity which is passed through the soil location and between the electrodes so as to effect the management of the soil pest and/or pathogen

A method for the management of a soil pest or pathogen is disclosed and which includes a source of high voltage electricity; at least one capacitor for storing the high voltage electricity; a multiplicity of electrodes inserted into a soil location having a soil pest and/or pathogen to be managed; and an electrical switch which is controllably opened and closes so as to form a pulse of electricity which is passed through the soil location and between the electrodes so as to effect the management of the soil pest and/or pathogen

The present disclosure relates to an information processing apparatus, an information processing method, and a vegetation management system each capable of managing vegetation in such a manner as to maintain a high quality state and achieve uniform growth.

In a vegetation management system, an image acquiring apparatus acquires an image in which vegetation corresponding to a target of management is captured. An analysis unit analyzes the image as at least input information and outputs a predetermined analysis result. Then, a determination unit determines work contents to be performed for the vegetation, according to the analysis result. A work apparatus performs a process for executing work for the vegetation according to the work contents. For example, the present technology is applicable to a management system that manages natural grass.

The present disclosure relates to an information processing apparatus, an information processing method, and a vegetation management system each capable of managing vegetation in such a manner as to maintain a high quality state and achieve uniform growth.

In a vegetation management system, an image acquiring apparatus acquires an image in which vegetation corresponding to a target of management is captured. An analysis unit analyzes the image as at least input information and outputs a predetermined analysis result. Then, a determination unit determines work contents to be performed for the vegetation, according to the analysis result. A work apparatus performs a process for executing work for the vegetation according to the work contents. For example, the present technology is applicable to a management system that manages natural grass.