Revolutionizing Agriculture | Enhanced Soil Monitoring Using AI Insights
Soil health is critical to functional and productive agricultural systems. Regular monitoring of soil parameters
Image processing refers to a collection of techniques that apply specific operations on an image in order to create an improved version of it or additionally manipulate digital images to make the process of extracting information using computer vision algorithms simpler or quicker.
Detection is the capacity to detect and analyze objects of interest, whereas authentication is the ability to distinguish one person from another.
Image Annotation is the process of labeling images in order to train a machine learning model. Annotation is a prerequisite for all supervised machine learning models. Deep learning is a subset of machine learning methods that uses artificial neural networks to extract high-level features from raw input data.
We offer a number of AI powered drone applications to automate the processing of high-resolution aerial images in agriculture, greenhouse, ecology, habitat monitoring and environmental conservation. Our applications compile the drone imagery, generating customer-requested reports with high precision and efficiency, ultimately accelerating knowledge synthesis by removing the tedious aspects of dealing with large and complex data.
In this project, using machine learning and Saiwa Anomaly Detection service, we detect and localize the location of micro and macro defects on a casting line, including: crack, frost, frost patch, longitude frost and mold oscillation. We have successfully implemented Aluminum Surface Defect Detection solution for CastTechnology in Canada. This solution is delivered via a simple user interface where users can run the defect detection APIs.
Corrective Exercise is a technique that leverages an understanding of anatomy, kinesiology, and biomechanics to address and fix movement compensations and imbalances to improve the overall quality of movement during workouts and in everyday life. This technique is used to help assess and determine the root cause of imbalances and faulty movement patterns that lead to issues with posture, balance, and total body coordination. In this project, a corrective exercise mobile application was developed for Android platform. For more details, please visit project dedicated page.
European Water Chestnut (Trapa natans) is an invasive floating-leaved aquatic plant that is capable of out-competing native species and altering Ontario’s aquatic ecosystems. Ducks Unlimited Canada (DUC) performs surveillance and control of this species in eastern Ontario in attempts to eradicate existing populations and prevent the establishment of new ones. To enhance DUC‘s capability for UAV-based surveillance of EWC through machine learning, we at Saiwa implemented the EWC detector software. Please visit here for more details of this project.
Saiwa is a start-up that uses a service-oriented platform to deliver artificial intelligence (AI) and machine learning (ML) services and solutions. Despite the fact that the Saiwa story began in January 2021, we had a lengthy journey that motivated us to design this product. We are pleased to inform that we have made three versions of our platform public so far, and we are expanding our collection of services by closely monitoring new state-of-the-art AI and ML technologies.
Soil health is critical to functional and productive agricultural systems. Regular monitoring of soil parameters
Medical diagnosis is often considered more of an art than a science, as it depends
Artificial intelligence (AI) is transforming the customer service industry by offering scalable and personalized support
The agricultural sector has been transformed by the application of AI to livestock monitoring. AI-based
Predictive analytics refers to statistical and machine learning techniques that analyze current and historical data
Computer vision is an artificial intelligence branch that empowers computers to comprehend and interpret the
Image segmentation is a crucial computer vision task with applications in medical imaging, robotics, autonomous
The advent of deep learning has been enabled by open source frameworks like TensorFlow, PyTorch,
Pest control is a massive global industry aiming to eliminate infestations of insects, rodents, and
Agriculture is one of the most important industries in the world because it is our
The emergence of big data coupled with advances in artificial intelligence is transforming industries and
Greenhouses allow growers to optimize conditions for plant growth and maximize yields. As sensor systems,
Image classification refers to the task of categorizing visual images into one of several predefined
Sentiment analysis is a text analytics tool that automatically extracts opinion and sentiment from unstructured
Clean water is vital for agriculture and food production. However, contaminants from natural and human
Artificial intelligence (AI) refers to computer systems that can perform tasks and make decisions that
Artificial intelligence (AI) refers to advanced computer systems and algorithms that can perform tasks and
The rapid evolution of artificial intelligence (AI) capabilities is driving change across the business landscape.
Sentiment analysis is the use of natural language processing, text analytics, and machine learning to
Designing and optimizing chemical reactions is a complex, multifaceted problem. Chemists have traditionally relied on
Machine learning is an important arm of artificial intelligence, it makes technology intelligent and able
Roads and transportation are the lifeblood of modern cities and countries. The welfare of the
Agriculture is under increasing pressure to produce higher yields with fewer resources to meet global
Agricultural drone imagery refers to aerial photos and video captured by drones flying over fields
The process of farming development created a turning point for humans. Man’s ability to engineer
Smart farming using machine learning refers to data-driven agricultural practices that leverage technology to optimize
Artificial intelligence (AI) is poised to revolutionize nearly every aspect of the food system-from how
Drones in agriculture are transforming farming through precision crop data collection and targeted intervention. Equipped
Greenhouses provide optimized growing conditions insulated from external weather fluctuations. However, manually monitoring and adjusting
Artificial intelligence has the potential to transform the way people live and work. Artificial intelligence
Invasive species pose significant environmental and economic threats through ecosystem disruption, loss of biodiversity, and
Accurately predicting crop yields is crucial for supporting many aspects of the agriculture industry, including
Plant disease manifests visually on leaves through spots, scorching, mold, distorted tissue, discoloration, and abnormal
Plant diseases pose a major threat to agricultural productivity worldwide by reducing yields and destroying
Bringing a new drug to market is an enormously complex and expensive process, often taking
Artificial intelligence is moving beyond traditional big data batch processing to real-time, ultra-low-latency intelligent systems.
Machine learning models uncover patterns and make predictions on new data by learning from examples.
As urban populations continue to grow globally, cities are grappling with various issues, from traffic
Machine learning has rapidly risen to prominence in many industries in recent years due to
Natural disasters such as hurricanes, wildfires, floods, and earthquakes cause massive destruction worldwide each year.
Machine learning has experienced explosive growth, with models powering critical applications across industry verticals. Sophisticated
As artificial intelligence systems become more capable, the integration of humans and AI in collaborative
Renewable energy sources such as solar and wind are key to building sustainable, low-carbon energy
Pattern recognition, the automated identification of meaningful patterns in data, is a fundamental capability underlying
The rapid evolution of artificial intelligence (AI) capabilities in recent years has sparked a growing
Fraud is a major threat to individuals, businesses, and the economy, costing billions of dollars
Accurate estimates of tree cover are critical for forest resource assessment, timber inventory management, and
Aluminum is one of the most widely used metals in automotive, aerospace, construction, consumer goods,
Accurate and timely diagnosis of diseases is crucial for effective treatment and management of patients.
The logistics industry is undergoing a profound transformation driven by emerging technologies such as artificial
Radiology, the branch of medicine dealing with medical imaging for disease diagnosis, has undergone major
The integration of artificial intelligence techniques into robotic systems is transforming capabilities in industries ranging
In recent years, chatbots and virtual assistants (AI assistants) have rapidly evolved from simple conversational
Artificial intelligence is driving new innovations across the entertainment industry, from assisting in content creation
Businesses are increasingly relying on artificial intelligence systems to make business decisions. This can significantly
In today’s modern world, deep learning services is used as the real algorithmic backbone for
Pathology, the study of disease, is entering a new era driven by artificial intelligence and
The Internet of Things (IoT) has connected billions of devices and objects to the digital
Self-driving cars, driven by the integration of AI in self driving cars, are poised to
Quantum computing promises unprecedented processing capabilities by harnessing quantum mechanical phenomena like superposition and entanglement.
The category of Machine learning in education is an important example of how technology enhances
Understanding and preserving the Earth’s precious biodiversity is an immense responsibility. Nowhere is this more
We all know that Artificial Intelligence (AI) is changing how we live and work and
Metal flaw detection is critical to quality assurance in manufacturing and industrial processes. Even small
As a nature lover, have you ever wondered why researchers go to such great lengths
Ecology is essentially the scientific study of the interactions between organisms and their environment. Ecologists
Machine learning has emerged as a transformative technology across industries, allowing systems to learn from
Agriculture is a pillar of civilization, essential to feeding the world’s growing population. However, climate
Data in the real world is usually inconsistent, incomplete, and always has a number of
In today’s digital age, images are critical in everything from healthcare and autonomous driving to
From autonomous vehicles navigating busy roads with unwavering precision to healthcare systems providing accurate diagnoses
Machine learning is revolutionizing the world of medicine and healthcare, allowing professionals to identify patients
The issue of PyTorch vs TensorFlow is a hotly debated topic among deep learning engineers.
Seedling counting is crucial in various agricultural practices, research studies, and crop management. Accurate assessment
Natural language processing is part of our everyday lives and is essential to our home
Agriculture is one of the oldest human activities. It provides food, fiber, and fuel for
In the ever-evolving landscape of technology, machine learning has emerged as a formidable force in
In today’s digital age, the field of computer vision has seen remarkable advances, and one
Sports are a huge part of our culture and entertainment. We love to watch, play,
Artificial intelligence and ML models are used in various business programs, customer conversation robots, and
In the field of machine learning, data acquisition is a critical step that allows the
Machine learning is a field of great interest among technology lovers. Considered a branch of
The development of machine learning (ML) has transformed several industries by revolutionizing decision-making processes based
Data mining and machine learning are both computer science approaches to discovering patterns in data
Artificial Intelligence (AI) has rapidly emerged as a transformative technology capable of simulating human intelligence
The complexity and amount of data in health care is increasing nowadays, and as a
The rapid rise of smart devices and the Internet of Things (IoT) is paving the
“IOT” is an acronym for the Internet of Things, representing the interconnectedness of physical objects
Our daily lives are being impacted by artificial intelligence in many ways, from small-scale AI
Artificial Intelligence is a subset of computer science related to the creation of intelligent machines
Image classification is one of the most important applications of deep learning and artificial intelligence.
Today, machine learning and artificial intelligence technologies have gained many fans due to their very
Machine learning models are very important and are used for many things, such as data
Automation is a word that is often used when talking about artificial intelligence. This is
In general, clustering in machine learning process helps to organize the data into different structures
One of the topics that many readers of artificial intelligence blogs are eager to read
Today, due to the availability of huge amounts of data and more affordable computing power,
With the rapid development of data science, organizations are increasingly focused on improving their operational
Many organizations that have made the decision to deploy artificial intelligence have encountered many problems
As you know, the success of today’s businesses depends on many factors; among the most
With the global AI, industry expected to reach $309.6 billion by 2026, artificial intelligence (AI)
The fields of data science and machine learning are related to using data to improve
The Evolution of Artificial Intelligence has caused it to become one of the most prominent
This article discusses the idea of two well-liked sub-categories of Artificial Intelligence, i.e., Machine Learning
Counting Objects is an essential task with a wide range of applications in various fields.
Line segment detection is one of the most challenging tasks in a wide range of
The use of face recognition online technology has grown significantly in recent years, with new
With computer vision technologies, machines can now scan and annotate complex images, and videos like
Selecting the right tools for computer vision, data labeling, and classification is essential. If annotating
Image processing and computer vision are closely related fields that involve analyzing, manipulating, and understanding
Nowadays, almost all businesses use at least one kind of cloud-based model to outsource their
Machine learning has been impacting several businesses for over a decade. Although many individuals still
Image deterioration is one of the most serious issues in image processing. Image blur is
It is challenging to develop programs that comprehend their environments. A developer must first choose
One of the most exciting developments in the field of image analysis in recent years
The human vision includes our eyes, abstract fundamental understanding, and unique experiences gained from our
A group of techniques for enhancing resolution of images or videos is referred to super-.
Deep learning has recently had considerable success in numerous domains, including computer vision and natural
Artificial intelligence has had a significant impact on global markets. It has enhanced products and
The demand for data processing is growing. Companies and academics must integrate the expanding quantity
Humans are often regarded as “articulated objects” in computer vision, consisting of firmly moving pieces
Human motion analysis is challenging because the human body is incredibly detailed, and individuals prefer
The challenges and limits of today’s technology, working circumstances, and other factors all significantly affect
Artificial intelligence is a technology that was developed to simulate a human brain by a
The machine learning area, which may be summarized as allowing computers to make compelling predictions
Machine learning is an application of artificial intelligence that has significantly impacted our daily lives,
Today, there are an increasing number of images available. Finding the exact image of interest,
Anomaly detection is a significant subject that has been studied in a variety of academic
The term “deep learning” includes complex scientific concepts and algorithms that are used in the
As cameras, webcams, optical sensors, and other devices become increasingly significant, we encounter a flood
You’ve probably heard the word “contrast” if you’ve ever used a professional camera or a
Today, with the remarkable development of computer and internet technologies, multimedia content, particularly digital pictures,
Image degradation is one of the most significant issues in image processing. Image blur is
People are encountered a variety of different images in their daily lives as the use
Corrective exercise is the name of an artificial intelligence service that helps you check the
Anomaly Detection addresses the challenging problem of detecting automatically exceptions or defects in a background
Image Deblurring refers to recovering a sharp image from the input blurred one. It is
Image Denoising refers to restoring a clean image by removing undesirable noise distortions from input
Contrast enhancement of poorly illuminated images have been widely used in many image processing applications
Arc (elliptical and circular arcs) and Line Segment Detection (ALD) refers to jointly detecting line
Line Segment Detection refers to detecting line segment primitives in images for various image analysis
Count Objects refers to automatically counting the number of interesting objects in images. It has
Resolution Enhancement refers to a group of techniques that are used in image processing or
Deep learning is a sub-category of machine learning methods based on artificial neural networks that
Image Annotation refers to the process of annotating images from a dataset with labels to
Pose estimation refers to detecting keypoint locations that describe the overall shape (skeleton) of an
Image inpainting is the process of filling regions of interest in images for generating a
Face recognition refers to methods that are capable of matching an individual face from an
Face detection is one of the main elements of all human-centered applications of artificial intelligence.
© 2023 saiwa. All Rights Reserved.