Prediction of fruit trees load with image processing

The image processing techniques which have become prevalent in many applications have recently turned out to be one of the techniques that are frequently chosen in the field of agriculture. In our culture, the fruits are sold even when the fruits are on their trees. With this technique in dressing the imbalance between the recipient and seller, a study has been conducted in order to achieve the balance between the two by bringing a point of engineering view. By utilising the advantages of the image processing in agriculture to contribute to the efficient agriculture, the weights of orange fruits have been determined in digital environment. The aims of this study are to develop a trust between the producer and consumer, and to achieve quick and practical outcomes with a minimum cost and the risk of loss. With this in mind, the pictures od fruit trees which were taken from four perspectives have been transferred into digital environment. The fruits in pictures have been removed by decomposing them in the digital environment. According to result obtained, the amount of harvest that a fruit tree could produce has been calculated digitally by writing the fruit weigh calculation algorithm. The fact that the calculation depends on the visual and numerical data will probably form an absolute correctness and a trust between the producer and consumer. With the development of technology, the fact that the aforementioned application is made compatible to the Android system devices that the use of is being common makes the extensive use of the application without any necessity for a computer use possible. In addition, fruit characteristics are determined by the use of artificial neural networks so as to detect the yield of fruits with the improvement of this application.