Abstract: There is provided a cultivation support system including a cultivation condition acquisition unit configured to acquire a plurality of cultivation conditions for cultivating a plant; a cultivation result acquisition unit configured to acquire a plurality of cultivation results in a cultivation of the plant; a class estimation unit configured to classify the plurality of cultivation conditions into a plurality of classes; and a calculation unit configured to calculate a reliability in each of the plurality of classes for a model that predicts a cultivation result from a cultivation condition by using the plurality of cultivation conditions and the plurality of cultivation results. The cultivation support system includes a model generation unit configured to generate the model that predicts the cultivation result from the cultivation condition.

Abstract: A prediction apparatus (10) of the present disclosure includes a memory (12) storing a prediction model for calculating a predicted value of a harvest result including harvest weight and information on physiological disorders of plants in a plant factory (80), and a value of an environmental parameter indicating an environment of the plant factory (80), a controller (11) configured to input the value of the environmental parameter retrieved from the memory (12) into the prediction model to calculate the predicted value of the harvest result, and a communication interface (13) configured to output the predicted value of the harvest result calculated by the controller (11).

Abstract: A support system (1) of the present disclosure includes a first memory (12) storing data indicating an environment of a cultivation facility (60) and data indicating an occurrence status of disease and pests, and a first controller (11) that performs machine learning using the data indicating the environment and the data indicating the occurrence status of disease and pests acquired from the first memory (12) to generate a prediction model for predicting a probability of occurrence of disease and pests in the cultivation facility (60).