2021
DOI: 10.51542/ijscia.v2i2.24
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Internet of Things in Agriculture: A Primer

Abstract: To meet the growing food demand, agricultural businesses are turning to the Internet of things for analytics and greater production capabilities. The Internet of things (IoT) is essentially making “dumb” things “smart” by connecting them to each other and to the Internet. Farmers are turning to IoT solutions to increase efficiencies and yields and reduce loss and waste. In an agricultural context, IoT refers to the use of sensors, cameras, and other devices to turn every element and action involved in farming … Show more

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Cited by 2 publications
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“…There are several factors that contribute to the prediction of a plant's or crop's overall yield, including soil properties, weather, seasonal fluctuations, seed quality, harvesting techniques, pest and disease monitoring, nutrient deficiencies, managing water requirements, and managing pest and disease problems. Since precision agriculture has been used for decades, researchers are now considering using sensor monitoring systems [22] and management systems so that crops can be kept healthy [15], productivity can be increased [16], and product quality can be improved in Figure 2 [23] .There has been an increased amount of attention devoted to sensors and drones used to monitor the quality of horticultural crops [24,25] and sensors that predict yields in various agronomic crops [26,27] and can be placed on harvesters for various crops [28], as well as the use of real-time data simulators [29]; moreover, the use of the Internet and real-time data simulators in crop production are gaining increasing attention. A number of studies have been conducted in the past that have shed light on the benefits of the Internet of Things in agriculture.…”
Section: A Smart Agriculture Approach To Predicting Yieldsmentioning
confidence: 99%
See 1 more Smart Citation
“…There are several factors that contribute to the prediction of a plant's or crop's overall yield, including soil properties, weather, seasonal fluctuations, seed quality, harvesting techniques, pest and disease monitoring, nutrient deficiencies, managing water requirements, and managing pest and disease problems. Since precision agriculture has been used for decades, researchers are now considering using sensor monitoring systems [22] and management systems so that crops can be kept healthy [15], productivity can be increased [16], and product quality can be improved in Figure 2 [23] .There has been an increased amount of attention devoted to sensors and drones used to monitor the quality of horticultural crops [24,25] and sensors that predict yields in various agronomic crops [26,27] and can be placed on harvesters for various crops [28], as well as the use of real-time data simulators [29]; moreover, the use of the Internet and real-time data simulators in crop production are gaining increasing attention. A number of studies have been conducted in the past that have shed light on the benefits of the Internet of Things in agriculture.…”
Section: A Smart Agriculture Approach To Predicting Yieldsmentioning
confidence: 99%
“…Since precision agriculture has been used for decades, researchers are now considering using sensor monitoring systems [22] and management systems so that crops can be kept healthy [15], productivity can be increased [16], and product quality can be improved in Figure 2 [23]. There has been an increased amount of attention devoted to sensors and drones used to monitor the quality of horticultural crops [24,25] and sensors that predict yields in various agronomic crops [26,27] and can be placed on harvesters for various crops [28], as well as the use of real-time data simulators [29]; moreover, the use of the Internet and real-time data simulators in crop production are gaining increasing attention.…”
Section: A Smart Agriculture Approach To Predicting Yieldsmentioning
confidence: 99%