Authors : Kayathiri Thillairasa, Baskarasothy Pratheeparaj, Rajendran Yathushan, Sivanesan Sarujan, Dhammika De Silva

Volume/Issue : Volume 4 - 2019, Issue 10 - October

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://bit.ly/2KxryLo

Agriculture is the most significant sector which impact the Sri Lankan economy and which is the main source of employment for the labor force. Around eighty different varieties of fruits and vegetables are grown all over the agro-climatic areas of Sri Lanka. Various researches are actively going related to plant which could help to maximize the yield productions. This Paper proposes the detection of Pest attack and nutrient deficiency, classification techniques and plant monetarization after the utilization of fertilizer and pesticides with the assistance of finest machine learning technique for the classification in image processing. Instant plant sickness detection and deficiency is important as it beneficial to monitor huge area of crops and detects the defects via symptoms appear on the leaves. In this project we develop Android Mobile app for detecting nutrient deficiency ,diseases and pest detection automatically through image processing and machine learning technique with the objective of providing firm, efficient, user friendly and costless solutions to farmers.


Paper Submission Last Date
31 - August - 2022

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