The purpose of the present invention is to improve evaluation accuracy of a photographed image when an event occurs. An image evaluation method according to the present invention includes steps, which are carried out by a server, for: storing, in a plurality of storage units, organism images each corresponding to a mode of an organism and outbreak environment information indicating the range of environment information suited for a mode of an organism; receiving a photographed image transmitted from a portable terminal; receiving environment information measured by a sensor terminal from the sensor terminal; retrieving organism images similar to the received photographed image among a plurality of organism images and assigning scores to names each related to the mode of an organism corresponding to the retrieved organism image; extracting names each related to the mode of an organism associated with outbreak environment information including the environment information received from the sensor terminal; assigning a weight to the scores of the extracted names; and transmitting a name, having the highest score among the plurality of scores as an evaluation result name, to the portable terminal that has transmitted the photographed image.

The purpose of the present invention is to improve evaluation accuracy of a photographed image when an event occurs. An image evaluation method according to the present invention includes steps, which are carried out by a server, for: storing, in a plurality of storage units, organism images each corresponding to a mode of an organism and outbreak environment information indicating the range of environment information suited for a mode of an organism; receiving a photographed image transmitted from a portable terminal; receiving environment information measured by a sensor terminal from the sensor terminal; retrieving organism images similar to the received photographed image among a plurality of organism images and assigning scores to names each related to the mode of an organism corresponding to the retrieved organism image; extracting names each related to the mode of an organism associated with outbreak environment information including the environment information received from the sensor terminal; assigning a weight to the scores of the extracted names; and transmitting a name, having the highest score among the plurality of scores as an evaluation result name, to the portable terminal that has transmitted the photographed image.

Systems and techniques for a sensor carrier, and intelligent track infrastructure for the navigation and operation of the sensor carrier are described. The sensor carrier is an autonomous robot navigating a track. The carrier holds cameras and other sensors to receive horticultural images and telemetry for plants in a grow operation. The carrier reads embedded signals in the track including Radio Frequency Identifier (RFID) tags, embedded positioning magnets, and drilled hole patterns for a beam breaking system to determine navigation and operation. For tracks placed at sharp angles, a transfer station with wall guards to prevent the carrier from falling enable safe transfers from different track segments. Additional features include an emergency stop (e-stop) switch and power management for autonomous sensor carriers.

[Problem] Provided is a compact cultivation device which has a number of management items (parameters) such as air temperature and CO.sub.2 concentration in cultivation space.

[Solution] A compact cultivation device 1 according to the present invention is provided with; an air conditioning sensor 6 which detects the air temperature, the CO.sub.2 concentration, the humidity, or an air current in a cultivation space A; and a nutrient liquid sensor 8 which detects the temperature, the flow rate, the EC, or the pH of a cultivation liquid B. The compact cultivation device 1 is configured to allow cultivation of a plant V while controlling various management items detected by the sensors 6, 8.

A microbial sensor, microbial sensing system, and method that can be used to determine the chemical environment of unsaturated soils, rhizosphere, and/or plants are disclosed. The microbial sensing system can be used for monitoring the health of plants including nutrients, salinity, contaminants, chemicals (pesticides, herbicides) and diseases. A microbial sensing system can include one or more indicator electrodes and a reference electrode. The microbial sensing system can include a signal acquisition and/or communication module to allow the real-time collection of data from field deployments and laboratory investigations.

A microbial sensor, microbial sensing system, and method that can be used to determine the chemical environment of unsaturated soils, rhizosphere, and/or plants are disclosed. The microbial sensing system can be used for monitoring the health of plants including nutrients, salinity, contaminants, chemicals (pesticides, herbicides) and diseases. A microbial sensing system can include one or more indicator electrodes and a reference electrode. The microbial sensing system can include a signal acquisition and/or communication module to allow the real-time collection of data from field deployments and laboratory investigations.

An automated seed sampler system includes an orientation system configured to orient a seed, and a sampling station configured to remove tissue from the oriented seed. In addition, a method for removing tissue from seeds includes positioning multiple seeds together in a desired orientation in a seed transport subsystem, and removing tissue from the oriented seeds while the seeds are in the seed transport subsystem.

An automated seed sampler system includes an orientation system configured to orient a seed, and a sampling station configured to remove tissue from the oriented seed. In addition, a method for removing tissue from seeds includes positioning multiple seeds together in a desired orientation in a seed transport subsystem, and removing tissue from the oriented seeds while the seeds are in the seed transport subsystem.

A method for generating digital models of potential crop yield based on planting date, relative maturity, and actual production history is provided. In an embodiment, data representing historical planting dates, relative maturity values, and crop yield is received by an agricultural intelligence computer system. Based on the historical data, the system generates spatial and temporal maps of planting dates, relative maturity, and actual production history. Using the maps, the system creates a model of potential yield that is dependent on planting date and relative maturity. The system may then receive actual production history data for a particular field. Using the received actual production history data, a particular planting date, and a particular relative maturity value, the agricultural intelligence computer system computes a potential yield for a particular field.

A method for generating digital models of potential crop yield based on planting date, relative maturity, and actual production history is provided. In an embodiment, data representing historical planting dates, relative maturity values, and crop yield is received by an agricultural intelligence computer system. Based on the historical data, the system generates spatial and temporal maps of planting dates, relative maturity, and actual production history. Using the maps, the system creates a model of potential yield that is dependent on planting date and relative maturity. The system may then receive actual production history data for a particular field. Using the received actual production history data, a particular planting date, and a particular relative maturity value, the agricultural intelligence computer system computes a potential yield for a particular field.