Apple Fruit Disease Detection for Hydroponic plants using Leading edge Technology Machine Learning and Image Processing

• Published in: 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC) pp. 820 - 825
• Main Authors: Lisha Kamala, K, Anna Alex, Sini
• Format: Conference Proceeding
• Language: English
• Published: IEEE 07-10-2021
• Subjects: Hydroponic farming; Image processing; Image segmentation; Machine Learning; Machine learning algorithms; Plants (biology); Productivity; quality; quantity; Shape; Soil; Support vector machines
• DOI: 10.1109/ICOSEC51865.2021.9591903

An Apple is also kind of fruit that can be cultivated through Hydroponic farming. The apple fruit that are been cultivated through soil has a less sweet taste when compared to hydroponic farming. The production of apples in hydroponic farming is high when compared through soil. In hydroponic farming detection of disease in apple fruit is very important at early phase else leads to a great loss in terms of productivity, quality and quantity. Detection of disease in fruits can be achieved through Image processing and Machine learning techniques.