Plant disease detection using imaging sensors, deep learning and machine learning for smart farming

C Upadhyay, HK Upadhyay, S Juneja… - … using machine learning …, 2022 - taylorfrancis.com
The population of our nation has reached over 1.35 billion and the population increase
indicates a need for further development in several sectors, including agriculture, to make …

A technical survey on deep learning and AI solutions for plant quality and health indicators monitoring in agriculture

K Sornalakshmi, G Sujatha, S Sindhu… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
The crop production and quality face many challenges due to the loss caused by plant
diseases and destruction due to pests. The traditional method of manual monitoring is not an …

Deep learning and machine learning based efficient framework for image based plant disease classification and detection

P Nancy, H Pallathadka, M Naved… - 2022 International …, 2022 - ieeexplore.ieee.org
Without agriculture, human existence would be inconceivable. A large percentage of the
world's population relies on agriculture for their daily needs. In addition, it creates a big …

[HTML][HTML] Image-based detection of plant diseases: from classical machine learning to deep learning journey

RU Khan, K Khan, W Albattah… - … and Mobile Computing, 2021 - hindawi.com
Plant disease automation in agriculture science is the primary concern for every country, as
the food demand is increasing at a fast rate due to an increase in population. Moreover, the …

Image processing–based artificial intelligence system for rapid detection of plant diseases

SS Tripathy, R Poddar, L Satapathy… - Bioinformatics in …, 2022 - Elsevier
A comprehensive assessment of research related to the applications of artificial intelligence
(AI) and machine learning (ML) in agricultural disease detection and yield prediction is …

A Deep Learning-based study of Crop Diseases Recognition and Classification

R Polly, EA Devi - … on Artificial Intelligence and Smart Energy …, 2022 - ieeexplore.ieee.org
Agriculture feeds both human and cattle populations around the world. To increase
agricultural productivity effectively, fast and precise disease diagnosis is essential. Farmers …

18 Using deep learning for image-based plant disease detection

P Bedi, P Gole, SK Agarwal - Internet Of things and machine learning …, 2021 - degruyter.com
Food is one of the basic needs of human life. The demand for food is increasing due to an
exponential increase in the world's population. To overcome such a massive demand for …

[PDF][PDF] Autonomous disease detection in crops using deep learning

FA Guth, S Ward, KP McDonnell - Biosystems and Food Engineering …, 2017 - academia.edu
In crop production, precision agriculture applications seek to deploy different devices and
systems to enhance yield and to reduce ecological impacts by optimizing inputs and timing …

Introduction to deep learning in precision agriculture: Farm image feature detection using unmanned aerial vehicles through classification and optimization process of …

HS Abdullahi, RE Sheriff - Deep Learning for Sustainable Agriculture, 2022 - Elsevier
With the increasing demand for maximizing efficiency in food production, technology can
offer and perform farm operations for yield optimization. Modern agriculture can automate …

Review on deep learning-based plant disease detection

D Bhise, S Kumar, H Mohapatra - 2022 6th International …, 2022 - ieeexplore.ieee.org
In the field of artificial intelligence, deep learning is a sub-field. Automatic learning and
feature extraction have piqued the interest of academics and industry alike in recent years. It …