IOT and Data Analytics Solution for Smart Agriculture

IOT and Data Analytics Solution for Smart Agriculture

Sowmya B. J. (Ramaiah Institute of Technology, India), Chetan Shetty (M.S. Ramaiah Institute of Technology, India), Netravati V. Cholappagol (Ramaiah Institute of Technology, India), and S. Seema (M.S. Ramaiah Institute of Technology, India)
Copyright: © 2019 |Pages: 28
DOI: 10.4018/978-1-5225-6070-8.ch010
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Abstract

This chapter gives the real-time solutions to the farmers by providing smart solutions for irrigation, disease monitoring, and decision supporting systems (which involves giving suggestions and solutions to the farmers by monitoring soil conditions, rain, weather, and overall quality of crop growth and the effect on the growth of the crop due to infertile soil or bad climatic conditions). These solutions are provided using the IOT and data analytics technology.
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Introduction

In the farming, field crop necessities management from claiming pesticides, fertilizers. What's more watering system for finer growth, precision agriculture (PA) will be. The idea utilized for the same design. The data for example,. Temperature, humidity, fertilizer, and soil moisture might a chance to be furnished. To provide decision support system for maximizing the crop growth development with the optimized utilization of accessible assets and without. Influencing an nature's domain. Those sensor hubs set in the ranch for data gathering ought to dependably think about Vitality utilization. Information sensed by sensors is send with incorporated substance to examination and upgrade and comes about of the Investigation need aid communicated back on to Ranch staff.

We proposed an automated prediction version which analyzes the massive information units of ancient records the use of Big data analytics. Large information analytics is the procedure of inspecting massive amount of facts comes from variety of resources like sensors facts, weather forecasting, and social media information with sort of codecs to find the hidden patterns, unknown correlations and also useful precious information. Economic models generally estimate changes in marketplace developments and situations underneath climate variant. The venture is aiming to discover solutions to troubles, consisting of climate change-precipitated global meals lack of confidence, to predicting and mitigating the impact of severe weather events on worldwide finance. On the grounds that we've sensors everywhere in area which are used to display and degree climate, plants, cloud cowl, ice cover, precipitation, sea floor temperature, and many greater geophysical parameters. those wide-ranging information collections give us an increasing number of deeper and broader coverage of weather trade, both temporally and geospatially.

As smart machines and sensors manifest on farms and cultivate information develop in amount and degree, cultivating procedures will turn out to be progressively data driven and information empowered. Fast improvements in the Internet of Things and Cloud Computing are driving the marvel of what is called smart Farming While Precision Agriculture is simply considering in-field fluctuation, Smart Farming goes past that by constructing administration undertakings with respect to area as well as on information, improved by setting and circumstance mindfulness, activated by constant occasions. Ongoing helping reconfiguration highlights are required to do lithe activities, particularly in instances of all of a sudden changed operational conditions or different conditions (e.g. climate or malady caution). These highlights ordinarily incorporate insightful help in execution, support and utilization of the innovation. Figure 1 condenses the idea of Smart Farming along the administration cycle as a Cyber physical framework, which implies that shrewd gadgets - associated to the Internet - are controlling the ranch framework. Keen gadgets expand regular apparatuses (e.g. rain measure, tractor, scratch pad) by including independent setting mindfulness by all sort of sensors, worked in knowledge, skilled to execute independent activities or doing this remotely. In this photo it is as of now proposed that robots can play an essential part in charge, however it can be normal that the part of people in investigation what's more, arranging is progressively helped by machines so that the cyberphysical cycle turns out to be relatively self-ruling. People will dependably be engaged with the entire procedure yet progressively at a considerably higher knowledge level, leaving most operational exercises to machines.

Figure 1.

The cyber-physical management cycle of Smart Farming

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