IMPACT OF MACHINE learning ON Management, healthcare AND AGRICULTURE

Agriculture is critical to human life. Agriculture provides a means of subsistence for a sizable portion of the world’s population. Additionally, it provides a large number of work opportunities for inhabitants. Many farmers prefer traditional farming approaches, which result in low yields. Agriculture and related industries are vital to the economy’s long-term growth and development. The primary issues in agricultural production include decision-making, crop selection, and supporting systems for crop yield enhancement. Agriculture forecasting is influenced by natural variables such as temperature, soil fertility, water volume, water quality, season, and crop prices. Growing advancements in agricultural automation have resulted in a flood of tools and apps for rapid knowledge acquisition. Mobile devices are rapidly being used by everyone, including farmers. This paper presents a framework for smart crop tracking and monitoring. Sensors, Internet of Things cameras, mobile applications, and big data analytics are all covered. The hardware consists of an Arduino Uno, a variety of sensors, and a Wi-Fi module. This strategy would result in the most effective use of energy and the smallest amount of agricultural waste possible.

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Applicability of Internet of Things in Smart Farming

Deterministic weather forecasting models based on intelligent predictors: A survey

Internet of Things (IoT) in the field of agriculture promises to continuously provide global access to the farming information. The smart agriculture system either gives alert regarding the farm or it recommends for best agriculture field. This paper addresses both irrigation and alert, i.e., Agricultural Irrigation Recommendation and Alert (AIRA) system that operates individually without any correlation. At first, the IoT users of each farm field registers in HDFS, i.e., Hadoop Distributed File System. All the registered farm field holders will receive alerts for water level status and others. The collected data will be processed in a hybrid classifier that combines k-nearest neighbor with a neural network (k-N4). The classifier classifies into five classes of irrigation alerts: low water level, high water level, maintained water level, low pressure, and cyclonic storm. For faster classification, firstly, the neural network is used. Secondly, the recommendation for agronomists is optimal. The collected data is clustered by modified fuzzy clustering, and then optimal weather conditions are recommended from attractiveness-based particle swarm optimization (APSO) algorithm. The main measurements taken into account from the farms are soil moisture, temperature, humidity, wind speed, and intensity. Also, the access for IoT users is authenticated with identity, password, and biometric. Here, biometric iris is used, which is more secure than the fingerprint. Furthermore, data security is assured based on M-RSA cryptography.

Agricultural Irrigation Recommendation and Alert (AIRA) system using optimization and machine learning in Hadoop for sustainable agriculture

Optical Burst Switching - A New Paradigm

Nowadays analyzing data of very large amount has become a big challenge. Data could be medical, scientific, climatically, meteorological, marketing or financial. Techniques of Data mining are used for extraction of unpledged material from large data set. Weather forecasting can be preferred to help many important sectors which are affected by climate like agriculture, air traffic, water resources, and tourism. Weather forecasting is an area of meteorology which is performed by accumulating data from various sources related to the present condition of the weather like rainfall, temperate, wind, and fog. It is the main challenging task for the scientists. Hadoop and MapReduce considered as the important techniques used to analyze a large data set. This paper develops a system that adopts the historical weather data of a region it applies the MapReduce and Hadoop methods to analyze this data.

Novel Weather Data Analysis Using Hadoop and MapReduce – A Case Study

The problem on loss free burst transmission has been well studied in Burst Switching Networks (BSN). There are number of approaches discussed for the performance development, but suffers to achieve higher performance. To overcome the issue, an burst rate based dynamic IO Queue management scheme has been presented. The method monitors the incoming burst traffic from more number of nodes and according to the rate of burst coming, the input output queue systems has been modified for their size. The burst in the queue system has been routed through available routes whenever identified. The method is capable of triggering the IO queue systems up and down according to the burst traffic. The proposed method improves the performance of burst switching networks.

Burst rate based optimized IO queue management for improved performance in Optical Burst Switching Networks

In India rail transportation engage a major pose in endow with the essential transportation to maintain necessities of a hastily emergent financial system. At present, India possesses the fourth major railway net in the globe. The majority of the viable transportation conceded out by the railway system and consequently, any difficulty in the equal has the capacity to induce major damage to the financial system. A method for evade trains from devastating and crash with threat on railways is making known. According to the improvement, the techniques comprise a safety vehicle that travels along a railway a head of a train failure follow on in mishap generally get extensive means exposure still when the railway is not at fault and give to rail transport, among the unaware public, an unjustified image of inefficiency often fuelling calls for immediate reforms. This paper is intended at serving the railway control apprehensive to make stronger and expand the surveyor equipment vital through recent protection supervision.

Advanced Automatic Detection of Cracks in Railway Tracks

A wireless sensor system be projected to examine construction headed for appraise shaking smash up, the sensor preterit exploit routine built-up capacitive micro electro mechanical structure strain and 3D acceleration feeler and a low power state formally claim precise microcircuit designed for exciting battery life span up and about to 12 years. The strain sensors escalate at the base of the structure to subsist the arrangement unite plastic midpoint opening of the construction while an earthquake happens. They live sporadically or on stipulate preliminary the base station. The accelerometers square measure mounted at each floor of the formation to live the unstable response of the building throughout associate degree earthquake.

Advanced Design of Wireless Communication Network for Building Monitoring

Recently, human-robot systems have been studied widely due to the mounting demand of good service for the aged and handicapped under the situation of falling of the younger generation. In the imminent, it will be multipart to suggest aid to the aged and disable persons such as captivating care, nursing, informing important information, recreation, etc., by trained human. To erect human robot civilization, where robots are able to hold elderly or disable people, the robot should be capable of recognizing user and gesture. To craft use of signal is an ordinary way for human to assist with robot. In the projected method, a outline base account is distinct for the self centric gesture construal and human-robot interaction. In this in sequence model, essential frame are distinct for the known users, robots, poses, gestures and robot behaviors. The system is competent of recognizing static gestures comprised of hand poses, and dynamic gestures of hand in motion proposed.

B. S. Sathish

Papers

Novel Weather Data Analysis Using Hadoop and MapReduce – A Case Study

Burst rate based optimized IO queue management for improved performance in Optical Burst Switching Networks

Advanced Automatic Detection of Cracks in Railway Tracks

Advanced Design of Wireless Communication Network for Building Monitoring

A Novel Design of Service Robot for Aged and Handicapped Using Raspberry Pi