Abstract
Smart agriculture is a cost-effective, resource-saving way of transforming agrobiology to meet the needs of tomorrow in a sustainable way. It can be used for producing more amount of food in a very limited terra with tight resources. The natural parameters that influence the quality and quantity of crops are rainfall, temperature, humidity, and many more. The modern-day agriculture faces uncertainty due to a change in climate conditions and irregularities due to climate change. In order to avoid that, a major update in the current agriculture sector is essential. To compensate for the irregularities of the natural requirements, pumping, sprinkling, and other such methods are used. However, often they are not controlled without a human supervision. Hence without proper regulation, overwatering, under watering, and excess or lack of light and other such factors cause loss of harvest. By the integration of computational interdisciplinary management systems like nutrient efficiency management and automated light cycle management, using machine vision to notify changes in the plants, etc. can be done. Moreover, regression modeling based according to the plant’s life cycle and switch lighting with the development of flowers or fruits are some of the technologies that can be applied in controlled agricultural system to benefit the harvest. For large area of agricultural land, site-specific management by the use of IoT, Spencer’s, AI algorithms, etc. to notify of changes in external factors like the water level in crops, starting a sprinkler if the humidity is reduced in the atmosphere, and starting a high-frequency sound wave to stun pests are some examples that can be employed to improve agriculture of the tomorrow.
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Roy, S., Panigrahi, J.P., Giri, M.K., Dash, S.R. (2022). A Multidisciplinary Perspective in Smart Agriculture Advances and Its Future Prospects. In: Nandan Mohanty, S., Chatterjee, J.M., Satpathy, S. (eds) Internet of Things and Its Applications. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-77528-5_19
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