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Identification of water stressed leaves using Artificial Intelligence: The case of eggplant

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dc.contributor.author Senanayake, P.A.
dc.contributor.author de Silva, R.
dc.date.accessioned 2018-08-06T08:14:49Z
dc.date.available 2018-08-06T08:14:49Z
dc.date.issued 2018
dc.identifier.citation Senanayake,P.A. and de Silva,R. (2018). Identification of water stressed leaves using Artificial Intelligence: The case of eggplant. International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka. p.78. en_US
dc.identifier.uri http://repository.kln.ac.lk/handle/123456789/18960
dc.description.abstract Identification of water stress of leaves from the photos taken has a long history. Researchers have defined a parameter called Leaf Water Content (LWC) to quantify the dryness of leaves. However, in the case of automatic watering of plants, such high accuracy of LWC is not needed as a decision to water or not alone is sufficient. Furthermore, the agricultural industry cannot use methods of remote sensing that are required to find LWC as they are complex and costly. In the current practice, farmers use their knowledge and experience together with the appearance of plants to estimate the water stress and watering time point of plants. The approach presented in this paper is easily implemented and requires only a series of photos taken by a smartphone or a camera and a software app. In this paper, a method s introduced using Artificial Intelligence (AI) where the images of leaves are directly used to determine whether the leaves are water stressed. We could identify the water stressed leaves accurately using this method. Once an app based on our method is developed, it could easily be used by farmers to automatically identify whether the eggplants are water stressed and need watering. en_US
dc.language.iso en en_US
dc.publisher International Research Conference on Smart Computing and Systems Engineering - SCSE 2018 en_US
dc.subject Image classification en_US
dc.subject Image filtering en_US
dc.subject Leaf water content en_US
dc.subject Leaf water stress recognition en_US
dc.title Identification of water stressed leaves using Artificial Intelligence: The case of eggplant en_US
dc.type Article en_US


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