DeepThink IoT: the strength of deep learning in internet of things
Abstract The integration of Deep Learning (DL) and the Internet of Things (IoT) has
revolutionized technology in the twenty-first century, enabling humans and machines to …
revolutionized technology in the twenty-first century, enabling humans and machines to …
Identification of plant-leaf diseases using CNN and transfer-learning approach
The timely identification and early prevention of crop diseases are essential for improving
production. In this paper, deep convolutional-neural-network (CNN) models are …
production. In this paper, deep convolutional-neural-network (CNN) models are …
[HTML][HTML] Deep learning methods for biotic and abiotic stresses detection and classification in fruits and vegetables: State of the art and perspectives
SCA Houetohossou, VR Houndji… - Artificial Intelligence in …, 2023 - Elsevier
Deep Learning (DL), a type of Machine Learning, has gained significant interest in many
fields, including agriculture. This paper aims to shed light on deep learning techniques used …
fields, including agriculture. This paper aims to shed light on deep learning techniques used …
Real-time detection and identification of plant leaf diseases using convolutional neural networks on an embedded platform
Early identification of crop disease can aid the farmers to take timely precautions and
countermeasures for its removal. In this paper, a real-time system to identify the type of …
countermeasures for its removal. In this paper, a real-time system to identify the type of …
Convolutional neural network and its pretrained models for image classification and object detection: A survey
At present, in the age of computers and automation of services, deep learning (DL)
technology, mainly the subset of machine learning (ML) and artificial intelligence (AI), is …
technology, mainly the subset of machine learning (ML) and artificial intelligence (AI), is …
Navigating the future: exploring technological advancements and emerging trends in the sustainable ornamental industry
Technological advances have played a critical role in the production of flower crops,
enabling farmers to maximize yields and reduce losses while also improving the quality of …
enabling farmers to maximize yields and reduce losses while also improving the quality of …
Computer vision framework for wheat disease identification and classification using Jetson GPU infrastructure
Diseases have adverse effects on crop production and yield loss. Various diseases such as
leaf rust, stem rust, and strip rust can affect yield quality and quantity for a studied area. In …
leaf rust, stem rust, and strip rust can affect yield quality and quantity for a studied area. In …
Tomato leaf disease recognition on leaf images based on fine-tuned residual neural networks
PS Kanda, K Xia, A Kyslytysna, EO Owoola - Plants, 2022 - mdpi.com
Humans depend heavily on agriculture, which is the main source of prosperity. The various
plant diseases that farmers must contend with have constituted a lot of challenges in crop …
plant diseases that farmers must contend with have constituted a lot of challenges in crop …
Shape classification technology of pollinated tomato flowers for robotic implementation
T Hiraguri, T Kimura, K Endo, T Ohya, T Takanashi… - Scientific Reports, 2023 - nature.com
Three pollination methods are commonly used in the greenhouse cultivation of tomato.
These are pollination using insects, artificial pollination (by manually vibrating flowers), and …
These are pollination using insects, artificial pollination (by manually vibrating flowers), and …
Plant disease detection and classification: A systematic literature review
A significant majority of the population in India makes their living through agriculture.
Different illnesses that develop due to changing weather patterns and are caused by …
Different illnesses that develop due to changing weather patterns and are caused by …