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.
|
Authors
|
Parameters
|
Technology
|
Advantage
|
|
Borgia et al. [24]
|
