[HTML][HTML] Artificial Intelligence Techniques in Grapevine Research: A Comparative Study with an Extensive Review of Datasets, Diseases, and Techniques Evaluation
In the last few years, the agricultural field has undergone a digital transformation,
incorporating artificial intelligence systems to make good employment of the growing volume …
incorporating artificial intelligence systems to make good employment of the growing volume …
A review of plant disease detection systems for farming applications
The globe and more particularly the economically developed regions of the world are
currently in the era of the Fourth Industrial Revolution (4IR). Conversely, the economically …
currently in the era of the Fourth Industrial Revolution (4IR). Conversely, the economically …
Performance evaluation of a hybrid PSO enhanced ANFIS model in prediction of traffic flow of vehicles on freeways: Traffic data evidence from South Africa
In the last few years, there has been a significant rise in the number of private vehicles
ownership, migration of people from rural areas to urban cities, and the rise in the number of …
ownership, migration of people from rural areas to urban cities, and the rise in the number of …
[HTML][HTML] Deep learning guided variable rate robotic sprayer prototype
This paper presents the development of a robotic sprayer that combines artificial intelligence
with robotics for optimal spray application on citrus nursery plants grown in an indoor …
with robotics for optimal spray application on citrus nursery plants grown in an indoor …
Deep learning techniques to detect crop disease and nutrient deficiency-a survey
M Sowmiya, S Krishnaveni - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Agriculture forms the root of the Indian economy on which the industrial and service sectors
thrive. Plant diseases cause a significant decrease in the quality and quantity of agricultural …
thrive. Plant diseases cause a significant decrease in the quality and quantity of agricultural …
Deep learning based image classification for embedded devices: A systematic review
Deep learning models are widely employed to solve complex problems in different areas,
particularly for image classification, because of their high performance in pattern recognition …
particularly for image classification, because of their high performance in pattern recognition …
Cooperatively routing a truck and multiple drones for target surveillance
With the development of drone technology, drones have been deployed in civilian and
military fields for target surveillance. As the endurance of drones is limited, large-scale target …
military fields for target surveillance. As the endurance of drones is limited, large-scale target …
Application of Machine Learning and Internet of Things for Identification of Nutrient Deficiencies in Oil Palm
R Mahendran, SN Tadiboina… - … and Informatics (IC3I …, 2022 - ieeexplore.ieee.org
Several products derived from oil palm trees are sold commercially, bringing in money for
the country and the people that live there. Because of this, the land available for oil palm …
the country and the people that live there. Because of this, the land available for oil palm …
Deep learning application in diverse fields with plant weed detection as a case study
Machine learning applications have gained popularity over the years as more advanced
algorithms like the deep learning (DL) algorithm are being employed in signal identification …
algorithms like the deep learning (DL) algorithm are being employed in signal identification …
Integrating unmanned aerial vehicle and deep learning algorithm for pipeline monitoring and inspection in the oil and gas sector
Organizations invest heavily during the installation of pipeline facilities which spans across
extensive geographical linkage. Also, the issue of pipeline protection and safety must be …
extensive geographical linkage. Also, the issue of pipeline protection and safety must be …