Abstract
In the world, agriculture has called a variety of names such as cultivation, horticulture, and farm. Agriculture is an important, traditional, and vital thing in India. When comparing to other countries, Indian country gives more prominent in the horticulture field to grow up the plants and as well as food sources. This paper concedes some basic information about the smart horticulture system by the utilization of cloud-based IoT (CBI) technology. IoT is the best and a new era in the cloud area which is used in many real-time applications such as horticulture work. In the horticulture, IoT is used for testing and protecting the agriculture process like soil moisture, weather condition, humidity, rainfall, photosynthesis, and fertilization. Internet of Things (IoT) is a very broad concept; it gathers many real-world objects and communicating with each other through the Internet (also Wi-Fi) connection. It contains lots of real-world things, for example, mobile phones, computers, vehicles, plants, and electronic devices. It will confer many advantages to the farmer to organize the farm. IoT applications are used in real-life applications, like hospitals, industries, networking areas, and so on. In the previous life, the agronomist necessary to ensure the weather condition, fertilizer, rainfall condition and observe the soil moisture before the agronomist organizing the farm. But now the cloud-based IoT will take the charge to help such kind of works to systemize the green farm using some agricultural-based sensors. For this reason, we can tell IoT is one of the useful and the best applications for the farmers. In this, cloud-based internet of things will work under the remote controller and sensors, used to develop the horticulture process.
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Kannan, M., Priya, C., William Mary, L., Madhan, S., Sri Priya, V. (2020). Effective Role of Cloud-Based IoT Technology in Smart and Precision Horticulture Works: A Novel. In: Peng, SL., Son, L.H., Suseendran, G., Balaganesh, D. (eds) Intelligent Computing and Innovation on Data Science. Lecture Notes in Networks and Systems, vol 118. Springer, Singapore. https://doi.org/10.1007/978-981-15-3284-9_8
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