Abstract: The present invention relates to a fertilizer allocation system and fertilizer allocation method. The fertilizer allocation system includes a sprayer, a plurality of solution tanks, a camera, a processor, data storage unit and a controller. The sprayer connects to solution tanks by a flow switch and spray fertilizer, which in solution tanks to crop. The camera takes a picture of a crop and the processor compared the picture with a plurality of identification data stored on the data storage unit, then judges a growing situation of crop and generates an allocation information. The controller receives the allocation information and adjust the flow switch to change the flow of fertilizer so that crop get desired element.

Abstract: The present disclosure provides a method, portable device, and system for detecting physiological phenotype of crops, which determines a digital color chart according to the distance between a designated crop and the portable device and the present environmental brightness, and then determines that the appearance color of the designated crop belongs to which control color information of the selected digital color chart. It can avoid causing the error result because of the influence of the subjective determination and the environmental light. Therefore, the selected control color information may correspond to physiology information of the designated crop, to provide farmers with an understanding the present physiological phenotype of the designated crop.

Abstract: An agricultural product detection device, an agricultural product management system and a method thereof are provided. The agricultural product detection device includes at least one flex sensing unit, at least one color sensing unit and a processing unit. The flex sensing unit is configured to perform shape sensing on an agricultural product, so as to obtain curvature information of the agricultural product. The color sensing unit is configured to perform color sensing on the agricultural product, so as to obtain color information of the agricultural product. The processing unit is configured to perform an operation process on the curvature information and the color information and to generate an operation process result accordingly.

Abstract: The present disclosure provides a method, portable device, and system for detecting physiological phenotype of crops, which determines a digital color chart according to the distance between a designated crop and the portable device and the present environmental brightness, and then determines that the appearance color of the designated crop belongs to which control color information of the selected digital color chart. It can avoid causing the error result because of the influence of the subjective determination and the environmental light. Therefore, the selected control color information may correspond to physiology information of the designated crop, to provide farmers with an understanding the present physiological phenotype of the designated crop.

Abstract: An insect adhesive apparatus capable of automatically renewing an insect adhesive area and a control method thereof. The insect adhesive apparatus includes a roll rack, at least one motor, a camera module and a central control module. The roll rack is configured to equip a roll and unroll the roll to provide a long strip-shaped insect adhesive area. The motor scrolls out the roll on the roll rack according to a first control signal so as to renew the long strip-shaped insect adhesive area. The camera module acquires image information of the insect adhesive area. The central control module analyzes the image information to provide an area occupancy rate of attachments and determine whether the area occupancy rate of attachments is larger than a threshold value. If the area occupancy rate of attachments is larger than the threshold value, the first control signal is output to the motor.

Abstract: Disclosed are a crop traceability system and a method thereof, applied to automatically produce a multimedia resume of a crop planted at a specific geographic location. The system comprises a task generating module, a task processing module and a resume producing module. The task list generated by the task generating module comprises tasks for producing the crop, and each item has a specific position information corresponding to a specific location. An electric device is equipped with a task executing module and a multimedia generating module and thus generates a multimedia data saving a location information of the electric device and a real image information. The resume producing module compares the specific position information corresponding to the item with the location information of the electric device, so as to generate a result determining whether to use the real image information as a part of the multimedia resume of the crop.

Abstract: Disclosed are a task supervising system and a method thereof, for automatically reporting whether a task is fulfilled. The system generates a task list via a task generating module. A worker learn the task and a required task area of a task location via the task list transmitted. The worker uses a location acquiring unit to obtain a location information of an electric device, and at least a sensor to obtain a sensing signal. A task executing module would first determine whether the location information of an electric device is within the required task area of the task location. If yes, the sensing signal would be transmitted to a database storing a reference signal corresponding to the task in advance. Finally, via the database, a task supervising module compares the sensing signal and the reference signal so as to generate a supervised result corresponding to the task.

Abstract: A plant image capture device and a method thereof are provided. A first mirror is disposed at a side of an image measurement position, so as to generate an mirror image of a plant disposed on the image measurement position; a first image capture device obtains at least one image including a direct image and the first mirror image of the plant; an image processing module uses a frame of the first mirror as a feature, so as to divide the at least one image including the direct image and the first mirror image of the plant and obtain the direct image and the first mirror image of the plant; an operation processing module processes the mirror image of the plant, so as to obtain a first image of the plant.

Abstract: A method and a system for recognizing plant diseases and a recording medium are provided. The method includes: providing a plant disease database, for storing plant disease and disease characteristic image corresponding to the plant disease; after obtaining plant image by an image capture device, obtaining segmented plant image by an image processing unit according to a first processing technique, and obtaining suspected region image according to a second processing technique; calculating an area of the suspected region image, and when the area is greater than a preset area, using the suspected region image as syndrome image, and comparing the syndrome image with the disease characteristic image; and when the syndrome image matches any specific disease characteristic image, obtaining a corresponding specific plant disease.

Abstract: A system for measuring features of plant by plant images is provided, which includes an image display module, a measurement specifying module and a computing module. The image display module is used for displaying at least one plant image. The measurement specifying module is used for specifying at least two measurement points on each of the plant images and a relation between the measurement points. The computing module is used for calculating at least one piece of plant features of the plant image according to the specified positions of the measurement points and the relation between the measurement points.

Abstract: A method and a system for recognizing plant diseases and a recording medium are provided. The method includes: providing a plant disease database, for storing plant disease and disease characteristic image corresponding to the plant disease; after obtaining plant image by an image capture device, obtaining segmented plant image by an image processing unit according to a first processing technique, and obtaining suspected region image according to a second processing technique; calculating an area of the suspected region image, and when the area is greater than a preset area, using the suspected region image as syndrome image, and comparing the syndrome image with the disease characteristic image; and when the syndrome image matches any specific disease characteristic image, obtaining a corresponding specific plant disease.

Abstract: A plant image capture device and a method thereof are provided. A first mirror is disposed at a side of an image measurement position, so as to generate an mirror image of a plant disposed on the image measurement position; a first image capture device obtains at least one image including a direct image and the first mirror image of the plant; an image processing module uses a frame of the first mirror as a feature, so as to divide the at least one image including the direct image and the first mirror image of the plant and obtain the direct image and the first mirror image of the plant; an operation processing module processes the mirror image of the plant, so as to obtain a first image of the plant.