An automated prediction of crop and fertilizer disease using Convolutional Neural Networks (CNN)
Geeta Rani, E.T. Venkatesh, K.D. Balaji, Balasaraswathi Yugandher, Adiki Nithin Kumar, M Sakthimohan
20222022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)34 citationsDOI
Abstract
The main motive of this project is “to create a website for the farmers to get a better crop, fertilizer recommendation, and plant disease prediction”. The Open Weather API is used to get the live temperature and humidity of the respective locations and we need to enter the soil nutrition values to get a better crop recommendation. We have used Resnet architecture for leaf disease prediction.
Topics & Concepts
Convolutional neural networkFertilizerCropComputer scienceAgricultural engineeringArchitectureHumidityArtificial intelligenceAgronomyMeteorologyEngineeringGeographyBiologyArchaeologySmart Agriculture and AIGreenhouse Technology and Climate ControlFood Supply Chain Traceability