The present invention relates to a composition comprising methyl jasmonate and a polysiloxane polyether for increasing the content of glucosinolates in adult plants of the genus Brassica, for example, broccoli. By means of foliar application of the composition on adult plants having a developed cuticle, a significant increase is achieved in the concentrations of glucosinolates (mainly glucoraphanin and neoglucobrassicin), in the floret of the plants, without degrading the organoleptic properties thereof.

The present invention relates to a composition comprising methyl jasmonate and a polysiloxane polyether for increasing the content of glucosinolates in adult plants of the genus Brassica, for example, broccoli. By means of foliar application of the composition on adult plants having a developed cuticle, a significant increase is achieved in the concentrations of glucosinolates (mainly glucoraphanin and neoglucobrassicin), in the floret of the plants, without degrading the organoleptic properties thereof.

The present invention is a plant growth promoter containing one or more seed shell components of plant selected from Palmae Elaeis, Leguminosae Faboideae, Juglandaceae, Rosaceae Prunus, and Oleeae.

A sensing system contains a vibration device attached to a stem of an agricultural crop for applying vibration to the agricultural crop, at least one sensor attached to the stem of the agricultural crop for sensing vibration of the agricultural crop caused by the vibration applied to the agricultural product from the vibration device to transmit vibration information relate to the vibration of the agricultural crop and a computing device for identifying one local maximum value among a plurality of local maximum values in a frequency spectrum obtained from the vibration information received from the at least one sensor as a resonance frequency of the vibration of the agricultural crop to determine a growth degree of a fruit of the agricultural crop based on the identified resonance frequency.

The present invention provides a method for improving salt tolerance of a plant so as to enable the plant to be cultivated under a high salt concentration condition. The present invention discloses a method for improving salt tolerance of a plant, including suppressing or inhibiting a function of PERK13 (Proline-rich extensin-like receptor kinase 13) in a plant; the method for improving salt tolerance of a plant, wherein an antagonist of PERK13 is brought into contact with a root of the plant; the method for improving salt tolerance of a plant, wherein the antagonist is one or more species of microorganisms or a secretion therefrom; and the method for improving salt tolerance of a plant, wherein the suppression of the function of the PERK13 is carried out by suppressing expression of PERK13 gene, or the inhibition of the function of the PERK13 is carried out by inhibiting expression of PERK13 gene.

The present invention provides a method for improving salt tolerance of a plant so as to enable the plant to be cultivated under a high salt concentration condition. The present invention discloses a method for improving salt tolerance of a plant, including suppressing or inhibiting a function of PERK13 (Proline-rich extensin-like receptor kinase 13) in a plant; the method for improving salt tolerance of a plant, wherein an antagonist of PERK13 is brought into contact with a root of the plant; the method for improving salt tolerance of a plant, wherein the antagonist is one or more species of microorganisms or a secretion therefrom; and the method for improving salt tolerance of a plant, wherein the suppression of the function of the PERK13 is carried out by suppressing expression of PERK13 gene, or the inhibition of the function of the PERK13 is carried out by inhibiting expression of PERK13 gene.

A prediction server includes: a data save unit that acquires diagnosis data from a diagnosis server; a training unit that constructs a prediction model that predicts a possibility of occurrence of the disorder in an arbitrary area and on an arbitrary date by training a learning model about a correlation among an area indicated by first position information, a date indicated by a diagnosis date, and a type of disorder in a machine learning manner, in which the type of the disorder is a diagnosis result estimated by the diagnosis server based on a diseased portion image by using a diagnosis model trained about a correlation between the diseased portion image and the disorder in the machine learning manner.

A system for administering a fluid to a tree. The fluid can be water, coloring agents, insecticides, fungicides, nutrients, plant growth regulators and herbicides. The system also includes a pressurizable container containing the fluid and a low pressure gas. The pressurizable container is attached to a manifold. Additionally, an infusion nozzle is attached to the manifold and configured to provide attachment of the system to a tree for an extended period of time ranging from weeks to months. The system also can, optionally, include an infusion control valve configured to regulate the flow of fluid from the container, through the manifold, through the infusion nozzle and into the tree. The infusion nozzle has threads that provide direct attachment to the tree.

A system for administering a fluid to a tree. The fluid can be water, coloring agents, insecticides, fungicides, nutrients, plant growth regulators and herbicides. The system also includes a pressurizable container containing the fluid and a low pressure gas. The pressurizable container is attached to a manifold. Additionally, an infusion nozzle is attached to the manifold and configured to provide attachment of the system to a tree for an extended period of time ranging from weeks to months. The system also can, optionally, include an infusion control valve configured to regulate the flow of fluid from the container, through the manifold, through the infusion nozzle and into the tree. The infusion nozzle has threads that provide direct attachment to the tree.

A plant disease control method and a plant disease control apparatus that can irradiate a plant under cultivation with an appropriate amount of near-infrared light to obtain an effect of controlling diseases while efficiently using light energy. The plant under cultivation is irradiated with the near-infrared light including a wavelength set within a wavelength range of 800 to 1000 nm so as to satisfy all following Equations 1 to 3 where X is an irradiance (W/m.sup.2) and Y is an irradiation time (second), so that the effect of controlling diseases can be obtained.

644893X.sup.−1.873≥Y≥5901.9X.sup.−1.856  Equation 1:

X≥1  Equation 2:

Y≥0.01  Equation 3: