Fecha de publicación: 08/03/2022 Fuente: Wipo tomato The invention provides a tomato fruit growth prediction method, device, equipment and product, and relates to the technical field of agriculture, and the method comprises the following steps: obtaining a canopy spectral image of a tomato canopy, and respectively extracting a leaf spectral image only containing leaves and a fruit form binary image only containing fruits; inputting the leaf spectral image only containing the leaf into the leaf neural network model to obtain leaf parameters; performing angular point detection analysis on the fruit form binary image only containing the fruits to obtain the number of the tomato fruits; based on the canopy spectral image, the leaf parameters and the number of tomato fruits, obtaining the phloem sugar concentrations under different planting conditions; inputting the phloem sugar concentrations under different planting conditions into the tomato fruit growth model to obtain the fresh weight and dry weight growth dynamic process of the tomato fruits. According to the method, the influence of different planting conditions on the tomato fruit carbon supply level can be effectively reflected, so that the prediction precision of tomato fruit growth is improved.