The present invention relates to an automated analytical system and an automated method for separating and detecting an analyte, as well as an automated analytical instrument.

A hydroponic apparatus includes: a cultivation tank that encloses an underground space with a ground surface portion that separates the underground space and an aboveground space; a light applying unit that is controlled to go into either of a light period in which light is applied to the plant and a dark period in which light is not applied to the plant; an aboveground temperature detection unit that detects a temperature of the aboveground space; an aboveground temperature adjustment unit that adjusts the temperature of the aboveground space and a control unit that controls the aboveground temperature adjustment unit based on information on the temperature of the aboveground space detected by the aboveground temperature detection unit. The control unit controls the aboveground temperature adjustment unit such that the temperature of the aboveground space in the dark period is lower than the temperature of the aboveground space in the light period.

A hydroponic apparatus includes: a cultivation tank that encloses an underground space with a ground surface portion that separates the underground space and an aboveground space; a light applying unit that is controlled to go into either of a light period in which light is applied to the plant and a dark period in which light is not applied to the plant; an aboveground temperature detection unit that detects a temperature of the aboveground space; an aboveground temperature adjustment unit that adjusts the temperature of the aboveground space and a control unit that controls the aboveground temperature adjustment unit based on information on the temperature of the aboveground space detected by the aboveground temperature detection unit. The control unit controls the aboveground temperature adjustment unit such that the temperature of the aboveground space in the dark period is lower than the temperature of the aboveground space in the light period.

A system and method for automatic plant monitoring. The method comprises: identifying at least one test input respective of a test area, wherein the test area includes at least one part of a plant; and generating a plant condition prediction based on the at least one test input and on a prediction model, wherein the prediction model is based on a training set including at least one training input and at least one training output, wherein each training output corresponds to a training input.

A system and method for automatic plant monitoring. The method comprises: identifying at least one test input respective of a test area, wherein the test area includes at least one part of a plant; and generating a plant condition prediction based on the at least one test input and on a prediction model, wherein the prediction model is based on a training set including at least one training input and at least one training output, wherein each training output corresponds to a training input.

Embodiments for managing aquaculture production by one or more processors are described. Information associated with an aquaculture site is received. The information includes at least a current stocking density of the aquaculture site. A recommended time for harvesting is determined based on the received information. A signal representative of the recommended time for harvesting is generated.

Embodiments for managing aquaculture production by one or more processors are described. Information associated with an aquaculture site is received. The information includes at least a current stocking density of the aquaculture site. A recommended time for harvesting is determined based on the received information. A signal representative of the recommended time for harvesting is generated.

The present technique relates to an information processing apparatus, an information processing method, a program, and a sensing apparatus that each enable determination as to the state of the inside of a living body.

The information processing apparatus applies a calculation algorism in accordance with a transient model that presents functions that a living body to be measured has, to measurement data of a transient response obtained from the living body, calculates an unknown parameter of parameters relating to the transient model, and thereby enables determination as to the state of the inside of the living body. The present technique is applicable to, for example, an information processing apparatus that calculates the quantum yield of photosynthesis of a plant.

An illumination apparatus (300) has: a surface (310) to be irradiated; and light-emitting devices (200) that are each obliquely arranged directly above the surface (310). The light-emitting devices (200) each have a light-emitting element (210) and a luminous flux control member (100). The luminous flux control member (100) distributes light emitted from the light-emitting element (210) in directions above and below the optical axis (OA) of the light-emitting element (210). The absolute value of the angle (1) formed between the optical axis (OA) and the optical axis of the light directed upward is smaller than the absolute value of the angle (2) formed between the optical axis (OA) and the optical axis of the light directed downward.

In embodiments, acquiring sensor data associated with a plant growing in a field, and analyzing the sensor data to extract, while in the field, one or more phenotypic traits associated with the plant from the sensor data. Indexing, while in the field, the one or more phenotypic traits to one or both of an identifier of the plant or a virtual representation of a part of the plant, and determining one or more plant insights based on the one or more phenotypic traits, wherein the one or more plant insights includes information about one or more of a health, a yield, a planting, a growth, a harvest, a management, a performance, and a state of the plant. One or more of the health, yield, planting, growth, harvest, management, performance, and the state of the plant are included in a plant insights report that is generated.