Table 2.
Overview of the literature considered for the Agriculture domain, from 2018 onwards.
| Outline of the Works | Robot Navigation & Path Planning | Data gathering | Image Processing | Cloud Computing | Multi-Robots | HRI | |
|---|---|---|---|---|---|---|---|
| [78] | Several UAVs are used to collect data by monitoring and mapping the field to vary rate fertilizer, spraying, etc, to reduce crop diseases. | ✔ | ✔ | ✔ | ✔ | ||
| [77] | Mobile robot equipped with several sensors useful in agriculture (moisture sensor, temperature sensor, contamination sensor, damage of harvest sensor), and controlled by voice recognition, using a smart watch connected to the network. | ✔ | ✔ | ✔ | |||
| [79] | Region monitoring of plants in a smart greenhouse, using a cloud-assisted strategy of mobile robots to increase the monitoring region size and reduce time consumption. | ✔ | ✔ | ✔ | |||
| [80] | Remotely configurable crop image acquisition robot system, based on cloud computing and WSN, used to improve the flexibility and adaptation of the mobile robot. | ✔ | ✔ | ✔ | |||
| [81] | Real-time image processing algorithm, using a visual odometry system on a UGV, based on the cross-correlation approach. Low-resolution images are used to attain high accuracy in motion estimation with short computing time. | ✔ | ✔ | ✔ | |||
| [82] | Cooperation among heterogeneous agricultural field robots with a supervisory controller, using a novel approach based on discrete-event system (DES) and the Ramadge-Wonham (RW) theory, which is effective in controlling complex dynamic systems consisting of heterogeneous multi-robot for smart agriculture. | ✔ | ✔ | ✔ | |||
| [83] | Smart agri-system based on embedded electronics, IoT and WSN for agri-farm stock and livestock farms. | ✔ | ✔ | ✔ | |||
| [84] | UGV used for looking for the best suitable deploying position for a WSN system, aiming to analyze the field and gather information about the terrain condition. | ✔ | ✔ | ||||
| [85] | Automated system developed to control both climate and irrigation in a greenhouse by monitoring temperature, soil moisture, humidity and pH, using a cloud connected mobile robot. Such robot can also discover unhealthy plants using image processing. | ✔ | ✔ | ✔ | |||
| [86] | Deployment of a group of UGVs using a distributed algorithm, aiming to gather data from relevant areas of the field, selected using the Voronoi partitioning. | ✔ | ✔ | ✔ |