System for predicting production of fruit tree and driving method thereof

1. A system for predicting production of a fruit tree, comprising:

a plant image obtaining unit collecting images of a fruit tree and confirming identification information about the fruit tree from the collected images;

a branch pattern recognizing unit receiving an image of the fruit tree whose identification information is confirmed and extracting fruit bearing branches from among various kinds of branches belonging to the fruit tree;

a fruit tree bud recognizing unit receiving an image of each of the extracted fruit bearing branches and extracting information about buds that fruits are actually to be born from among buds belonging to the fruit bearing branch;

a meta database (DB) storing previous production predicting information about the fruit tree corresponding to the collected images; and

a production estimating unit receiving the extracted bud information and previous production predicting information about the fruit tree, comparing the received bud information and the previous production predicting information to predict production of the fruit tree.

2. The system according to claim 1 , wherein the production prediction for the fruit tree is performed in a dormancy state after a fruit harvest is completed.

3. The system according to claim 1 , wherein the plane image obtaining unit comprises:

a camera unit imaging the fruit tree;

an image processing unit collecting the images of the imaged fruit tree and confirming the identification information; and

a storing unit storing the images of fruit tree whose identification information is confirmed,

wherein the image processing unit confirms the identification information about the imaged fruit tree on the basis of previous fruit tree information stored in the storing unit.

4. The system according to claim 3 , wherein the image processing unit confirms the identification information about the fruit tree on the basis of location information of the imaged fruit tree and radio frequency (RF) tag information.

5. The system according to claim 1 , wherein the meta DB receives the predicted production information about the fruit tree from the production estimating unit and stores the received information.

6. A method of predicting production of a fruit tree, comprising:

collecting images of a fruit tree;

confirming identification information about the fruit tree from the collected images;

on the basis of image information about the fruit tree whose identification information is confirmed, extracting patterns of branches belonging to the fruit tree;

extracting information about buds that fruits are actually to be born on the basis of the extracted branch patterns;

comparing the extracted bud information with previous production prediction information about the fruit tree; and

predicting production of the fruit tree on the basis of a compared result,

wherein the extracting of the branch patterns comprises analyzing kinds of branches included in the image information about the fruit tree whose identification information is confirmed, extracting information about fruit bearing branches from among the analyzed kinds of branches, and determining ages of the fruit bearing branches from the extracted information about the fruit bearing branches.

7. The method of claim 6 , further comprising storing the predicted production information about the fruit tree.

8. The method of claim 6 , further comprising storing the determined ages of the fruit bearing branches.

9. The method of claim 6 , wherein the ages of the fruit bearing branches are determined by comparing with previously stored ages of the fruit bearing branches.

10. The method of claim 6 , wherein the extracting of the information about buds comprises:

checking the information about buds belonging to the fruit bearing branches;

extracting information about buds that fruits are actually to be born from among the checked bud information; and

storing the extracted bud information.