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Smart Communication System for Agriculture

Pranita Kolhe, Aniket Baseshankar, Mansi Murekar, Shubham Sadhankar, Kamlesh Kalbande, Atul S. Deshmukh

20222022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)20 citationsDOI

Abstract

Tomato Plant disease affects the yield of the tomato. The farmers must spot agricultural conditions. The standard knowledge augmentation strategies, like revolve, turn over, and move having severely restricted, cannot win satisfactory results to boost the identification of tomato leaf diseases. The new method shows tomato leaf disease on a mobile application operated by a farmer at any distance. A robot will roam around the farm, scan the plant, and display output. To extract the disease from the leaf surface, here we include the ten most common diseases Bacterial, Early blight, healthy spot, and on.

Topics & Concepts

BlightLeaf spotAgricultureYield (engineering)Plant diseaseIdentification (biology)DiseaseAgricultural engineeringComputer scienceAgronomyBiotechnologyEngineeringBiologyMedicineBotanyEcologyMaterials scienceMetallurgyPathologySmart Agriculture and AIPlant Virus Research Studies
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