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A Conceptual Model for Analysis of Plant Diseases Through EfficientNet: Towards Precision Farming

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Innovations in Machine and Deep Learning

Part of the book series: Studies in Big Data ((SBD,volume 134))

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Abstract

Machine Learning (ML) techniques in agriculture yield high performance in precision farming. Smart agriculture opens a door of opportunities in disease detection, classification, and crop management. In this work, authors analyze how real-time Artificial Intelligence (AI) can classify plant disease from leaf images. Leaf images can be collected through the Internet of Things (IoT)-based camera by Unmanned Aerial Vehicles (UAV) and stored in a remote database from where further learning can be done by Convolutional Neural Network (CNN). The novelty of this research is an attempt to hybridize the concept of IoT and ML in precision farming. As we all know, in the global economy, agriculture plays a vital role in relation to Gross Domestic Product (GDP). With the expansion of the human population, we need intensive farming for better livestock management. Considering the real-time scenario, AI-enabled applications can provide a rich recommendation to our farmers. The ML-based smart recommendation can classify plant diseases and provide a reliable decision support system to farmers. The authors have showcased here how a smart Agri-based model can help our countrymen.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Adamas University, Kolkata, India

    Roneeta Purkayastha & Subhasish Mohapatra

Authors
  1. Roneeta Purkayastha
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  2. Subhasish Mohapatra
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Editor information

Editors and Affiliations

  1. División Multidisciplinaria de Ciudad Universitaria, Universidad Autónoma de Ciudad Juárez, Chihuahua, Mexico

    Gilberto Rivera

  2. Universidad Tecnológica de La Habana, La Habana, Cuba

    Alejandro Rosete

  3. School of Engineering, University of Cadiz, Cadiz, Spain

    Bernabé Dorronsoro

  4. Instituto Tecnológico de Ciudad Madero, Tecnológico Nacional de México, Tamaulipas, Mexico

    Nelson Rangel-Valdez

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Purkayastha, R., Mohapatra, S. (2023). A Conceptual Model for Analysis of Plant Diseases Through EfficientNet: Towards Precision Farming. In: Rivera, G., Rosete, A., Dorronsoro, B., Rangel-Valdez, N. (eds) Innovations in Machine and Deep Learning. Studies in Big Data, vol 134. Springer, Cham. https://doi.org/10.1007/978-3-031-40688-1_18

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