Arzu YAZGI, Yiğit KARABULUT, İkbal AYGÜN, Engin ÇAKIR

Determination of in-row seed distribution uniformity using image processing

The objective of this study was to determine the seed distribution uniformity of seeding machines using a low sensitivity (maximum 300 frames per second (fps)) high-speed camera and image processing method for corn, cotton, and wheat seeds under laboratory conditions. For this purpose, a high-speed camera with 100, 200, and 300 fps was used to measure the seed drop from the seeding tube onto the sticky belt. Video images then were transferred to the image processing algorithm, from which seed distribution can be calculated. The calculated measurements were compared statistically with the measurements obtained from sticky belt tests. According to the results for determining corn and cotton seed spacing by high-speed camera, the camera was successful only for corn seeds. For cotton seeds, camera readings were significantly different from the readings from the sticky belt due to the fact that capturing the cotton seed trajectory was not sufficient compared to the corn seed trajectory. Measuring the wheat seed spacing by high-speed camera was impossible with lower speeds of the camera. Wheat kernels could not be captured successfully by the camera at speeds of 100 and 200 fps. Therefore, only 300 fps speed was used to measure the seed spacing of wheat.

PDF

___

Bardski G, Kaebler A (2008). Learning OpenCV: Computer Vision with the OpenCV Library. Sebastopol, CA, USA: OReilly Press.
Chellappa R, Sawchuk A (1985). Digital image processing and analysis. Volume 2. Digital Image Analysis. London, UK: Springer.
Cointault F, Vangeyte J (2005). Development of low cost high speed photographic imaging systems to measure outlet velocity of fertilizer granules during spreading. Int Fert Soc Pro 555: 20- 28.
Dursun Gİ, Dursun E (2000). Ekim makinası sıra üzeri tohum dağılımının görüntü işleme yöntemi ile belirlenmesi. Tarım Bilimleri Dergisi 6: 21-28 (article in Turkish with an abstract in English).
Gonzales RC, Woods RE (2008). Digital Image Processing. Upper Saddle River, NJ, USA: Pearson Prentice Hall.
Hijazi B, Decourselle T, Minov SV, Nuyttens D, Cointault F, Pieters J, Vangeyte J (2012). The use of high-speed imaging systems for application in precision agriculture. In: Volosencu C, editor. New Technologies Trends Innovations and Research (INTECH). Croatia: InTech.
Karayel D, Wiesehoff M, Özmerzi A, Müler J (2006). Laboratory measurement of seed drill seed spacing and velocity of fall of seeds using high-speed camera system. Comput Electron Agrc. 50: 89-96.
Leemans V, Destain MF (2007). A computer-vision based precision seed drill guidance assistance. Comput Electr Agr 59: 1-12.
Niblack W (1986). An Introduction to Image Processing. Englewood Cliffs, ,NJ, USA: Prentice Hall.
Önal İ (2011). Ekim, Dikim ve Gübreleme Makinaları. Bornova, İzmir, Turkey: Ege Üniversitesi Ziraat Fakültesi Yayınları.
Önal O, Önal İ (2009). Development of a computerized measurement system for in-row seed spacing accuracy. Turk J Agric For 33: 99-109.
Villette S, Cointault F, Piron E, Chopinet B, Paindavoine M (2007). A simple imaging system to measure velocity and improve the quality of fertilizer spreading in agriculture. J Electron Imaging 17: 1109-1119.
Zhong Q, Zhou P, Yao Q, Mao K (2009). A novel segmentation algorithm for clustered slender-particles. Comput Electron Agr 69: 118-127.