Vine nutrition is a key element of vineyard management. Nutrient disorders affect vine growth, crop yield, berry composition, and wine quality. Nutritional disorders can be detected visually on leaves, fruits, stems or roots. This paper presents our proposed method of using a smartphone app to capture and analyse images of vine leaves for identifying nutritional disorders of grapevines rapidly and conveniently. Nutrient deficiency/toxicity symptoms were created in hydroponically grown grapevines of both red and white varieties. RGB (red, green, and blue images of old and young leaves were taken weekly to track the progression of symptoms. A bench marked dataset was developed through a laboratory based nutrient analysis of the petioles. A wide range of features (e.g., texture, smoothness, contrast and shape) were selected for the following customised machine learning techniques. Our proposed algorithm was developed to identify specific deficiency and toxicity symptoms through training and testing process.
|Title of host publication||Image and Video Technology|
|Subtitle of host publication||9th Pacific-Rim Symposium, PSIVT 2019, Sydney, NSW, Australia, November 18–22, 2019, Proceedings|
|Editors||Chilwoo Lee, Zhixun Su, Akihiro Sugimoto|
|Number of pages||12|
|Publication status||Published - 11 Nov 2019|
|Event||9th Pacific-Rim Symposium on Image and Video Technology: PSIVT 2019 - Charles Sturt University Study Centre, Sydney, Australia|
Duration: 18 Nov 2019 → 22 Nov 2019
|Name||Lecture Notes in Computer Science|
|Conference||9th Pacific-Rim Symposium on Image and Video Technology|
|Period||18/11/19 → 22/11/19|
Rahaman, M., Baby, T., Oczkowski, A., Paul, M., Zheng, L., Schmidtke, L., Holzapfel, B., Walker, R., & Rogiers, S. (2019). Grapevine nutritional disorder detection using image processing. In C. Lee, Z. Su, & A. Sugimoto (Eds.), Image and Video Technology: 9th Pacific-Rim Symposium, PSIVT 2019, Sydney, NSW, Australia, November 18–22, 2019, Proceedings (pp. 184-196). (Lecture Notes in Computer Science; Vol. 11854). Springer.