Trends in vision-based machine learning techniques for plant disease identification: A systematic review
Globally, all the major crops are significantly affected by diseases every year, as manual
inspection across diverse fields is time-consuming, tedious, and requires expert knowledge …
inspection across diverse fields is time-consuming, tedious, and requires expert knowledge …
Machine learning and deep learning based computational techniques in automatic agricultural diseases detection: Methodologies, applications, and challenges
Plant disease detection is a critical issue that needs to be focused on for productive
agriculture and economy. Detecting plant disease using traditional methods is a tedious job …
agriculture and economy. Detecting plant disease using traditional methods is a tedious job …
[HTML][HTML] Understanding the potential applications of Artificial Intelligence in Agriculture Sector
Artificial Intelligence (AI) has been extensively applied in farming recently. To cultivate
healthier crops, manage pests, monitor soil and growing conditions, analyse data for …
healthier crops, manage pests, monitor soil and growing conditions, analyse data for …
Rice diseases detection and classification using attention based neural network and bayesian optimization
In this research, an attention-based depthwise separable neural network with Bayesian
optimization (ADSNN-BO) is proposed to detect and classify rice disease from rice leaf …
optimization (ADSNN-BO) is proposed to detect and classify rice disease from rice leaf …
Recent developments of the internet of things in agriculture: a survey
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 …
With the advent of technology, this decade is witnessing a shift from conventional …
On using artificial intelligence and the internet of things for crop disease detection: A contemporary survey
The agricultural sector remains a key contributor to the Moroccan economy, representing
about 15% of gross domestic product (GDP). Disease attacks are constant threats to …
about 15% of gross domestic product (GDP). Disease attacks are constant threats to …
Artificial intelligence-based sensors for next generation IoT applications: A review
SC Mukhopadhyay, SKS Tyagi… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Sensors play a vital role in our daily lives and are an essential component for Internet of
Things (IoT) based systems as they enable the IoT to collect data to take smart and …
Things (IoT) based systems as they enable the IoT to collect data to take smart and …
Internet of Things (IoT) and machine learning model of plant disease prediction–blister blight for tea plant
Crop plant diseases are a significant threat to productivity and sustainable development in
agriculture. Early prediction of disease attacks is useful for the effective control of the …
agriculture. Early prediction of disease attacks is useful for the effective control of the …
[PDF][PDF] An automated convolutional neural network based approach for paddy leaf disease detection
Bangladesh and India are significant paddy-cultivation countries in the globe. Paddy is the
key producing crop in Bangladesh. In the last 11 years, the part of agriculture in …
key producing crop in Bangladesh. In the last 11 years, the part of agriculture in …
Recent advances in E-monitoring of plant diseases
A Mohammad-Razdari, D Rousseau… - Biosensors and …, 2022 - Elsevier
Infectious plant diseases are caused by pathogenic microorganisms, such as fungi,
oomycetes, bacteria, viruses, phytoplasma, and nematodes. Plant diseases have a …
oomycetes, bacteria, viruses, phytoplasma, and nematodes. Plant diseases have a …