Читать книгу Agricultural Informatics - Группа авторов - Страница 4

1 Chapter 1Figure 1.1 Layers and connection of a feed-forward back propagation ANN [2].Figure 1.2 Fuzzy cluster membership function representation in various field [9]...Figure 1.3 Decision tree structure for crop details prediction [4].

2 Chapter 2Figure 2.1 Applications of agro-IoT.Figure 2.2 Flow chart of step by step process of agro-IoT farming.Figure 2.3 Proposed prototype model for integrated Agro-IoT system.Figure 2.4 Proposed image processing method to detect pest and weed.Figure 2.5 Proposed image processing method to detect fire region.Figure 2.6 Beaglebone black.

3 Chapter 3Figure 3.1 Stakeholders of Agro Informatics and allied Nomenclatures.Figure 3.2 The IoT Architecture at a glance.Figure 3.3 The gateway for IoT and its stakeholders.Figure 3.4 Major components of IoT.

4 Chapter 4Figure 4.1 Applying drone technology to precision agriculture.Figure 4.2 Four technologies of the IoT technology management used in the proces...Figure 4.3 Overall architecture of the precision agriculture environment.

5 Chapter 5Figure 5.1 IoT-based intelligent agriculture monitoring.Figure 5.2 Mode of work in IoT-based weather and irrigation monitoring.Figure 5.3 Mode of work in ML-based weather and irrigation monitoring.Figure 5.4 Data storage in IoT-based weather and irrigation monitoring.Figure 5.5 Data storage in ML-based weather and irrigation monitoring.

6 Chapter 6Figure 6.1 Proposed work flow chart.Figure 6.2 Sample images.Figure 6.3 CNN architecture.Figure 6.4 Training and Validation Accuracy of CNNFigure 6.5 Training and validation loss of CNN.Figure 6.6 Confusion matrix (without normalization).Figure 6.7 Confusion matrix (with normalization).

7 Chapter 7Figure 7.1 CNN architecture.Figure 7.2 Left: regular block and Right: residual block.Figure 7.3 General approach for automated classification of plant block.Figure 7.4 Distribution of classes during training.Figure 7.5 Distribution of classes during validation.Figure 7.6 Annotated image.Figure 7.7 Training and validation accuracy of ResNet-50 using batch normalizati...Figure 7.8 Training and validation loss of ResNet-50 using batch normalization.Figure 7.9 Training and validation accuracy of ResNet-50 without batch normaliza...Figure 7.10 Training and validation loss of ResNet-50 without batch normalizatio...

8 Chapter 8Figure 8.1 Framework of proposed system.Figure 8.2 Flowchart.Figure 8.3 Snapshots of (a) home screen of phone application when buzzer and LED...Figure 8.4 Snapshots of readings of sensors: (a) pH reading of soil using ph sen...Figure 8.5 Some images of tomatoes taken using UAV. (a) image of healthy tomatoe...Figure 8.6 Graph shows the comparison of the production of tomatoes before and a...

9 Chapter 9Figure 9.1 Block diagram of GA-MWPSO algorithm.Figure 9.2 (a) Plotting of coverage ratio vs. coverage range without using optim...

10 Chapter 10Figure 10.1 Different types of UAV.Figure 10.2 Early-stage development of multicopterFigure 10.3 Recent successful multicopter products available in the market.Figure 10.4 Basic system and components of multicopter UAV.Figure 10.5 Common frame configurations in multirotor UAV platform.Figure 10.6 Airframe of multicopter UAV.Figure 10.7 LiPo 16,000 mAh batteries with anti-spark plug connectors.Figure 10.8 Discharge curve of LiPo battery (Source: http://learningrc.com).Figure 10.9 6S voltage sensor (Buzzer).Figure 10.10 Carbon fiber two blade propeller (a) 22X55 carbon fibre heavy duty ...Figure 10.11 BLDC motor mounted on arm.Figure 10.12 Detailed connection diagram of ESC.Figure 10.13 18 channel remote controller transmitter and receiver.Figure 10.14 Control mode of RC transmitter.Figure 10.15 Pixhawk open-source flight controller.Figure 10.16 Wireless communication of GCS (Source: [30]).Figure 10.17 Field setup of the ground control system.Figure 10.18 Screenshots of Mission Planner GCS software.Figure 10.19 Radio telemetry module.Figure 10.20 Alpha GPS 13 module for multicopter UAV.Figure 10.21 An octacopter in hovering state.Figure 10.22 Movement of an octacopter (a) upward movement, (b) forward movement...Figure 10.23 Movement of an octacopter (a) rightward movement, (b) Yaw movement.Figure 10.24 Various fuselage configuration (a) Plus or I configuration, (b) X-c...Figure 10.25 Propeller with different number of blade (a) single-blade propeller...Figure 10.26 Performance graphs of different number of blades (a) Thrust v/s Pow...Figure 10.27 Alloy type X-configurations and their geometry parameters.

11 Chapter 12Figure 12.1 Architecture of sensor node.Figure 12.2 Side view of the designed agro farm structure for the Plane region.Figure 12.3 Full view of the designed agro farm structure for the Plane region.Figure 12.4 The structure of farm by applying suitable irrigation network of pip...Figure 12.5 Sensor interconnection through the Internet of Things.Figure 12.6 A flowchart which describes the complete operation of the proposed s...Figure 12.7 Placement of ultrasonic sensor with the Arduino to avoid the animal ...Figure 12.8 The probe connection of capacitive touch shield with Arduino to trig...Figure 12.9 Screenshot of the various sensors placed at the field site by consid...Figure 12.10 Dashboard snapshot of the sensor value in desktop.Figure 12.11 Dashboard snapshot of the sensor value in the android app.Figure 12.12 Hardware snapshot of proposed system under working condition.