Agricultural Informatics. Группа авторов

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СКАЧАТЬ Different soil property IoT with Cloud storage The system can analyze the proper fertilizer needed for specific crop.

      Table 2.5 Technology of monitoring intrusion.

Authors	Parameters	Technology	Advantage
Borgia et al. [24]	Anonymous object	Map reduce IoT with Mobile application	Detect intruder efficiently.

      Table 2.6 Technology of monitoring weed.

Authors	Parameters	Technology	Advantage
Hariharan et al. [25]	Image of crop.	At mega 2560 Microcontroller Bluetooth Wi-Fi H-bridge driver	Detect weed as well as control weed efficiently.

      Table 2.7 Technology for water management.

Authors	Parameters	Technology	Advantage
Rajalakshmi et al.[26]	Sensed data	Sensors, Wireless transmission, Web server database.	Farmers can monitor field efficiently. Irrigation system is automated. Farmers can remotely control the reduction in waste of water.
Kaur et al. [27]	Water level with other sensed data	Android mobile application, Water level sensor, other sensors.	Farmers can also monitor the crop field remotely.
Parameswaran et al. [28] Amel et al. [29] Hemalatha et al. [30]	Sensed data	Sensors Generic IoT border Router wireless.	Measurement of humidity and water level is possible.
JoaquínGutiérrez et al. [31]	Digitalimage	Irrigation sensor, smartphone.	Farmers can monitor crop area, also measure the water level.
Saraswati Dept. of Electr. Eng. et al. [32]	Water level	Sensors Cloud storage Mobile phone Mobile application.	Farmers can control the water level by using a mobile phone.

2.3 Problem Identification

      As the researchers discussed in the previous section about variety of exciting methods developed which are very advantageous in modern agricultural field, still it lacks maximum level of efficiency. Different researchers have tried to capture one or two problems associated with agriculture and figured out the solution for the same. But the actual need is to have such a system which will combine solution of all the problems associated with agriculture in a single system. Thus the future system will be more acceptable to the farmers.

2.4 Objective Behind the Integrated Agro-IoT System

      Researchers have built a prototype model for the above said problem by keeping the followings points in mind:

       Increase in crop production value.

       Minimizing activities of a farmer. He should have to do the basic field work only.

       The cost of the integrated system to be nominal as much as possible.

       Utilization of solar energy to get clean source of energy and emits lower amount of GFGs.

       Cultivation process should be efficient with less human interfere.

      Thus the work of the integrated Agro-IoT is as follows:

      1 Humidity Monitoring.

      2 Soil fertility Monitoring.

      3 Low water level detection and automatic water level Management.

      4 Climate Condition Monitoring.

      5 Detection of Pest and control it by spraying pesticide automatically.

      6 Detection of Weed and give a notice to farmer for cutting.

      7 Fire Accident Detection and automatic control of fire.

      8 Intrusion Detection (e.g. goat, cow, etc.) within a certain limit and automatic control.

      9 Temperature Monitoring.

2.5 Proposed Prototype of the Integrated Agro-IoT System

      Figure 2.3 illustrates the proposed prototype model of the field with Agro-IoT system.

      A total of 6 types of sensors have been used to build the prototype model for the integrated system. The soil condition is getting measured by temperature, moisture, and ph sensor and sends the data to beaglebone black. Ultrasonic sensor senses the water level of the field and when it detects a lower voltage value than the predefined threshold value, then it send a signal to beaglebone black so that automatically the water pump will start to provide water in field. When the water level is enough in field the sensor again send the signal to beaglebone black to stop the water pump automatically.

Figure 2.3 Proposed prototype model for integrated Agro-IoT system.

The camera plays an important role in the prototype model. It captures image of the crop field in every milliseconds and sends the processed data to the image server which is connected to beaglebone black. Through the camera and with our proposed image processing algorithm three most important things i.e. pest, weed and fire can be detected easily. If the proposed image processing algorithm detects the amount of pest is severe, then through beaglebone black the sprinkler СКАЧАТЬ