Aplikasi Digital Image Processing untuk Grading Citra Manggis

Mangosteen (Garcinia Mangostana Linn) is an Indonesian native fruit with the nickname of "queen of fruit". Indonesia has avery high export potential for mangosteen. Banyuwangi is the largest production center of mangosteen fruit in East Java. Themain problem often faced by mangosteen farmers in the post-selection process is the quality selection which is done manually. Itraises several issues, such as less equitable observations due to visual limitations of fatigue and observers’ differences inperceptions. Depend on these problems, taking pictures with camera and digital image processing could be a solution. Digitalimage processing was done by extracting the color of the mangosteen with various quality classes into Hue, Saturation andIntensity and by measuring the diameter to be used astesting data. The qualification process of mangosteen fruit used k-NNmethod in which the sorting was done based on the proximity of the distance between the image features and the diameter whichwere obtained from the tested mangosteen toward the training data. In this case study, the test was performed on 15 testing datatoward 75 training data consisting of various quality classes on the side view images. The test performed had the accuracy of93.3% with the score of k = 3 and 86.6% with the score of k = 5 on the side view. Keywords— Mangosteen, Grading, HSI, k-N

Automatic sprayer operation control

U radu je prikazana suvremena poljoprivredna tehnika u zaštiti bilja kroz pojašnjen pristup rada automatske kontrole rada prskalice. Prikazani su moderni sustavi za nivelaciju armature upotrebom senzora i ukazana važnost korištenja GIS navođenja kao glavne smjernice precizne poljoprivrede. U radu su dani konkretni primjeri prskalica na kojima su postavljeni automatski sustavi poput Amatron 3, Arag sustav, BoomTrac Pro gdje su ukazane sve prednosti navedenih. Korištenjem suvremene tehnike i dodatne digitalne opreme omogućena je kvalitetna aplikacija zaštitnih sredstava uz višestruke uštede.The paper presents a modern agricultural technique in the protection of plants through a clarified approach to the operation of the automatic control of the sprinkler operation. Modern systems for leveling reinforcement using sensors are presented and the importance of using GIS guidance as the main guideline of precision agriculture is shown. The paper presents concrete examples of sprayers on which automatic systems such as Amatron 3, Arag system, BoomTrac Pro are installed, where all the advantages of the aforementioned are shown. The use of modern technology and additional digital equipment enables the high-quality application of protective medium with multiple savings

Design and Development of an Automatic Steering System for Agricultural Towed Implements

While an auto steered tractor can improve the overall accuracy and efficiency of an operation, for operations that involve towing an implement, a significant portion of the efficiency reduction comes from uncontrolled motions of the towed implement. Therefore, there is a crucial need to study auto steering system for towed implement as well. In this study different requirements of an auto steering system for a towed implement were developed and studied. In this study the guiding performance of two local positioning sensors (Tactile and Ultrasonic sensors) under similar conditions were studied for reading different trajectories at different traveling speed. Furthermore, a fuzzy logic control algorithm was developed to continually generate correction steering signals and keep the tractor and towed implement within a certain boundary of the reference trajectory. Finally, the designed controller was implemented in a hardware-in-loop (HIL) system to analyze the performance of the controller in real world conditions. The result of this study showed that although the local guidance sensors could locate the tractor or towed implement positions with respect to plant rows accurately, limitations to the performance of sensors were also observed in certain conditions. Sensors were prone to various noises and digital filters were required to apply to collected data. Data analysis showed that at lower speeds (less than 1.79 m/s) the accuracy of sensors was ?2 cm or better. The fuzzy logic controller improved the trajectory tracking accuracy at slow speeds (1-5 m/s) for following non-complex trajectories while no major improvements were achieved for complex trajectories at these speeds. Therefore, the controller had an acceptable accuracy following straight trajectory with negligible deviations at slow speeds. Moreover, experimental results showed that the hydraulic cylinder followed the controller signals with sufficient accuracy. During the experiment the angular displacements remained in the range of ?10? and never hit the constraint of maximum achievable angle, which was ?30?. The satisfactory results showed that the designed automatic steering control system has a good tracking performance with a fast response, thus meeting the navigation control requirement of agricultural equipment to a certain extent