20202020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE)Requires access

Crop Selection and IoT Based Monitoring System for Precision Agriculture

Yash Bhojwani, Rishab Singh, Rachana Reddy, B.T. Kylash Perumal

Open publisher page 37 citations

Abstract

Internet of Things (IoT) is the future. IoT is the change that is required in every field. Being able to monitor and control things from a distance makes any task effortless. Agriculture is a very important field and hence every possible technological advancement should be made in this field. With the rise in population worldwide, the demand for agriculture has increased drastically and unfortunately, farmers are failing to fulfill the never-ending demand. Instead of increasing the scale of agriculture, a better way will be implementing smart or precision agriculture techniques using IoT. The yield of any crop can be maximized with the help of precision agriculture by reducing the wastage. The proposed work does so by monitoring the environmental factors like temperature, humidity, soil moisture, etc. that affect the growth of the crop as well as helps the farmers to decide the idle crop that will be suitable for them according to the data collected and environmental conditions. This model can be very effective than the traditional methods as the risk of crop failure, less yield, excessive water supply or excessive use of fertilizers and pesticides, etc. can be reduced to a great extent. The data collected by the sensor nodes deployed all over the field in sent to the cloud and there the data is analyzed and visualized for the ease of farmers. With the help of visualized data farmers can take precise and effective decisions affecting their crops.

About this research paper

What this paper is about

Internet of Things (IoT) is the future. IoT is the change that is required in every field. Being able to monitor and control things from a distance makes any task effortless. Agriculture is a very important field and hence every possible technological advancement should be made in this field. With the rise in population worldwide, the demand for agriculture has increased drastically and unfortunately, farmers are failing to fulfill the never-ending demand. Instead of increasing the scale of agriculture, a better way will be implementing smart or precision agriculture techniques using IoT. The yield of any crop can be maximized with the help of precision agriculture by reducing the wastage. The proposed work does so by monitoring the environmental factors like temperature, humidity, soil moisture, etc. that affect the growth of the crop as well as helps the farmers to decide the idle crop that will be suitable for them according to the data collected and environmental conditions. This model can be very effective than the traditional methods as the risk of crop failure, less yield, excessive water supply or excessive use of fertilizers and pesticides, etc. can be reduced to a great extent. The data collected by the sensor nodes deployed all over the field in sent to the cloud and there the data is analyzed and visualized for the ease of farmers. With the help of visualized data farmers can take precise and effective decisions affecting their crops.

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OpenAlex reports 37 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

Internet of Things (IoT) is the future. IoT is the change that is required in every field. Being able to monitor and control things from a distance makes any task effortless. Agriculture is a very important field and hence every possible technological advancement should be made in this field. With the rise in population worldwide, the demand for agriculture has increased drastically and unfortunately, farmers are failing to fulfill the never-ending demand. Instead of increasing the scale of agriculture, a better way will be implementing smart or precision agriculture techniques using IoT. The yield of any crop can be maximized with the help of precision agriculture by reducing the wastage. The proposed work does so by monitoring the environmental factors like temperature, humidity, soil moisture, etc. that affect the growth of the crop as well as helps the farmers to decide the idle crop that will be suitable for them according to the data collected and environmental conditions. This model can be very effective than the traditional methods as the risk of crop failure, less yield, excessive water supply or excessive use of fertilizers and pesticides, etc. can be reduced to a great extent. The data collected by the sensor nodes deployed all over the field in sent to the cloud and there the data is analyzed and visualized for the ease of farmers. With the help of visualized data farmers can take precise and effective decisions affecting their crops.

Key concepts: Agriculture, Agricultural engineering, Precision agriculture, Computer science, Internet of Things, Cloud computing, Work (physics), Field (mathematics)

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