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.The support vector machine has achieved a 98.99% average accuracy inthe testing
Original languageEnglish
Title of host publicationImage and Video Technology
Subtitle of host publication9th Pacific-Rim Symposium, PSIVT 2019, Sydney, NSW, Australia, November 18–22, 2019, Proceedings
EditorsChilwoo Lee, Zhixun Su, Akihiro Sugimoto
Number of pages13
ISBN (Electronic)9783030348793
ISBN (Print)9783030348786
Publication statusPublished - 11 Nov 2019
Event9th Pacific-Rim Symposium on Image and Video Technology: PSIVT 2019 - Charles Sturt University Study Centre, Sydney, Australia
Duration: 18 Nov 201922 Nov 2019
http://www.psivt.org/psivt2019/program.html (program)
https://link.springer.com/book/10.1007/978-3-030-34879-3 (proceedings)

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference9th Pacific-Rim Symposium on Image and Video Technology
OtherThe Pacific-Rim Symposium on Image and Video Technology (PSIVT) is a premier level biennial series of symposia that aim at providing a forum for researchers and practitioners who are being involved, or are contributing to theoretical advances or practical implementations in image and video technology.
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