LITMIR.BIZ

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Advantage Liqiang et al. [1] Zhua et al. [2] Jaishetty et al. [3] Image Temperature Humidity Wireless sensor network Low power consumption Keerthi.v et al. [4] Light Temperature Humidity Soil moisture Cloud Computing, IoT Collection of periodic data, Online storage Srisruthi et al. [5] Temperature Humidity Soil moisture Fertility Sensors Energy efficient, Low maintenance cost, also controls supply of waters and fertilizers Swarup et al. [6] Temperature Humidity Soil moisture Wireless protocol, Serial protocol, Microcontroller, Wireless Bluetooth module Uses of gateway Channe et al. [7] PH value Humidity Temperature Sensors, Cloud computing, IoT, MobileComputing, Big-Data Analysis Increase in crop production rate Satyanarayana et al.[8] Temperature Humidity Sensors, Zigbee protocol, GPS Sakthipriya [9] Crop leaf condition Wireless Sensor network Increase in production of rice plant Kumar [10] Temperature downfall Sensors The system can measure crop loss amount, Increase in crop production Baggio [11] Temperature Humidity Sensors Identify and reduce potato crop disease Kavitha et al. [12] Sensors Automatic detection of fire accidents ICT [13] Climate condition Soil Fertility Internet, Wireless communication, remote monitoring system, short messaging service Collected climate, soil pattern, pest and disease change pattern help farmer to plan for the next crop plantation Entekhabi et al. [14] Radar and radiometer information Optimization, minimization, Extensive Monte Carlo numerical simulations Efficient soil moisture, roughness estimation Nandurkar et al.[15] Temperature Humidity Sensors, GPS With controlling temperature and humidity, detection of theft is also possible Liqiang et al. [16] Temperature Humidity Soil moisture Green energy, sensors. The motor have both facility auto and manual, Increase in productivity, Water management

      Table 2.3 Technology of controlling pest.

Authors	Parameters	Technology	Advantage
Thulasi Priya et al. [17]	Image.	GSM, Image sensor, Aspic, Wireless sensor network	Farmers get aware of the pests inside the field.
Shalini et al.[18]		Real-time system.	Automatic pesticide sprayer in the field.
Baranwal et al. [19]	Image, sensed data.	Python scripts, sensors, Integrated electronic device, Image processing.	Identification of pest, detection of crop disease, Increase in production.
Kapoor et al. [20]	Image of lattice leaf.	Matlab, Image processing.	Determine pesticide or fertilizer which prevent growth of plant.
Rajan et al. [21] Sladojevic et al.[22]	Image.	Imageprocessing, Machine Learning Approach.	Detect pest, determine pesticide which prevent growth of plant. Also determine the disease in plant leaf.

2.2.3 Proper Fertilizer Uses

      Table 2.4 illustrates the technology for using proper fertilizer in smart agriculture.

       2.2.4 Intrusion Detection

      Table 2.5 illustrates the technology for monitoring intrusion in smart agriculture.

       2.2.5 Weed Control

      Table 2.6 illustrates the technology for monitoring weed in smart agriculture.

       2.2.6 Water Supply Management

      Table 2.7 illustrates the technology for water management in smart agriculture.

      Table 2.4 Technology of using proper fertilizer.

Authors	Parameters	Technology	Advantage
Rajesh et al. [23]	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.

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Authors	Parameters	Technology	Advantage
Borgia et al. [24]