The Neural Farmer
This book explores the application of deep learning, specifically Convolutional Neural Networks (CNNs), for the automated detection and classification of potato leaf diseases such as early blight and late blight. It provides a comprehensive overview of traditional diagnostic methods, the fundamentals of CNNs, dataset preparation, model architecture, training strategies, and evaluation metrics. With an emphasis on practical applications, the book also addresses limitations like dataset bias, image quality, and model interpretability. Designed for researchers, students, and agricultural practitioners, this work contributes to the growing field of AI-driven precision agriculture, promoting sustainable and intelligent farming solutions.
1147425933
The Neural Farmer
This book explores the application of deep learning, specifically Convolutional Neural Networks (CNNs), for the automated detection and classification of potato leaf diseases such as early blight and late blight. It provides a comprehensive overview of traditional diagnostic methods, the fundamentals of CNNs, dataset preparation, model architecture, training strategies, and evaluation metrics. With an emphasis on practical applications, the book also addresses limitations like dataset bias, image quality, and model interpretability. Designed for researchers, students, and agricultural practitioners, this work contributes to the growing field of AI-driven precision agriculture, promoting sustainable and intelligent farming solutions.
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The Neural Farmer

The Neural Farmer

by Prakhar Yadav
The Neural Farmer

The Neural Farmer

by Prakhar Yadav

Paperback

$49.00 
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Overview

This book explores the application of deep learning, specifically Convolutional Neural Networks (CNNs), for the automated detection and classification of potato leaf diseases such as early blight and late blight. It provides a comprehensive overview of traditional diagnostic methods, the fundamentals of CNNs, dataset preparation, model architecture, training strategies, and evaluation metrics. With an emphasis on practical applications, the book also addresses limitations like dataset bias, image quality, and model interpretability. Designed for researchers, students, and agricultural practitioners, this work contributes to the growing field of AI-driven precision agriculture, promoting sustainable and intelligent farming solutions.

Product Details

ISBN-13: 9786208444822
Publisher: LAP Lambert Academic Publishing
Publication date: 04/25/2025
Pages: 52
Product dimensions: 6.00(w) x 9.00(h) x 0.12(d)
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