[HTML][HTML] Internet of things for the future of smart agriculture: A comprehensive survey of emerging technologies

O Friha, MA Ferrag, L Shu, L Maglaras… - IEEE/CAA Journal of …, 2021 - ieee-jas.net
This paper presents a comprehensive review of emerging technologies for the internet of
things (IoT)-based smart agriculture. We begin by summarizing the existing surveys and …

Computer vision, IoT and data fusion for crop disease detection using machine learning: A survey and ongoing research

M Ouhami, A Hafiane, Y Es-Saady, M El Hajji… - Remote Sensing, 2021 - mdpi.com
Crop diseases constitute a serious issue in agriculture, affecting both quality and quantity of
agriculture production. Disease control has been a research object in many scientific and …

End-to-end deep learning model for corn leaf disease classification

H Amin, A Darwish, AE Hassanien, M Soliman - IEEE Access, 2022 - ieeexplore.ieee.org
Plant diseases compose a great threat to global food security. However, the rapid
identification of plant diseases remains challenging and time-consuming. It requires experts …

Recent developments of the internet of things in agriculture: a survey

VP Kour, S Arora - Ieee Access, 2020 - ieeexplore.ieee.org
A rise in the population has immensely increased the pressure on the agriculture sector.
With the advent of technology, this decade is witnessing a shift from conventional …

Rice-fusion: A multimodality data fusion framework for rice disease diagnosis

RR Patil, S Kumar - IEEE access, 2022 - ieeexplore.ieee.org
Rice leaf infections are a common hazard to rice production, affecting many farmers all over
the world. Early detection and treatment of rice leaf infection are critical for promoting healthy …

Review of the state of the art of deep learning for plant diseases: A broad analysis and discussion

RI Hasan, SM Yusuf, L Alzubaidi - Plants, 2020 - mdpi.com
Deep learning (DL) represents the golden era in the machine learning (ML) domain, and it
has gradually become the leading approach in many fields. It is currently playing a vital role …

A review of the applications of the internet of things (IoT) for agricultural automation

WS Kim, WS Lee, YJ Kim - Journal of Biosystems Engineering, 2020 - Springer
Abstract Purpose The Internet of Things (IoT) is a network of devices for communicating
machine to machine (M2M) based on wired and wireless Internet. IoT in agriculture is a …

A deep learning and social iot approach for plants disease prediction toward a sustainable agriculture

G Delnevo, R Girau, C Ceccarini… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
As the world becomes increasingly interconnected, emerging and innovative sensing
technologies are shaping the future of agriculture, with a special focus on sustainability …

Deep learning based automated disease detection and pest classification in Indian mung bean

MDT Mallick, S Biswas, AK Das, HN Saha… - Multimedia Tools and …, 2023 - Springer
Crop pests and diseases are major threats to food security globally. The mung bean (Vigna
Radiata) is one of the leading crops in India. A large part of the population in India is …

Role of internet of things and deep learning techniques in plant disease detection and classification: A focused review

VS Dhaka, N Kundu, G Rani, E Zumpano, E Vocaturo - Sensors, 2023 - mdpi.com
The automatic detection, visualization, and classification of plant diseases through image
datasets are key challenges for precision and smart farming. The technological solutions …