## 2 Related Work
The author concludes that the use of drones can substantially improve the surveying process of archaeological projects adding to the on-site activities. Furthermore, remote sensing provides advantages such as being non-destructive, reducing the time and cost of the surveyance process, and the ability to access areas located on agricultural fields with difficult access and fields where the farmer or the proprietor must grant the access. The vegetation can also be in urban environments. For that reason, [PERSON] et al. presented in [23] a remote sensing system for urban lawn monitoring in smart cities. The system is comprised of an Arduino node with a camera mounted on a drone. Photographs are taken and classified into different grass qualities employing a rule-based algorithm that classify the grass into very low, low, and high coverage. The system was tested with a dataset of grass pictures resulting in success in the classification of 100%. Lastly, the authors concluded that their system reduced the execution time of the process of taking pictures of the garden, compared to the same classification system mounted on a vehicle, for areas larger than 1000 m\({}^{2}\). Sensor nodes are a widely spread technology utilized in many agricultural monitoring systems to implement their solutions. Some authors have presented a review of the state of the art of the use of Wireless Sensor Networks (WSN) in agriculture [24; 25; 26; 27; 28]. [PERSON] et al. [24] studied applications of WSN and its problems and challenges for the improvement of agriculture. [PERSON] et al. [25] presented a survey on the latest IoT technologies and their implementation in the agricultural sector, as well as the challenges that arise in their implementation. [PERSON] et al. [26] studied the need of using sensors in agriculture and the utilization of WSN in that field. [PERSON] et al. [27] reviewed wireless sensor technologies and standards for their communications in the agri-food sector, focusing on WSN and Radio Frequency Identification (RFID). [PERSON] et al. [28] also presented the state of the art of WSN technology applied to precision agriculture, reporting hardware and software solutions from the technological point of view. Other authors presented designs for new WSN architectures for agriculture [29; 30; 31]. Authors such as [PERSON] et al. [29] proposed a WSN architecture for a greenhouse of vegetables, achieving the monitoring of environmental parameters in crops and a reduction in costs. [PERSON] et al. [30] presented a hybrid WSN architecture applied to agriculture. A hybrid network of wireless sensors consists of wireless sensors that communicate through the ground in addition to wireless terrestrial sensors. [PERSON] et al. [31] have proposed and analyzed a programmable on-chip (PSoC) microcontroller that they integrate into a WSN network and use to monitor and control parameters in greenhouses. Furthermore, there are authors [32; 33; 34; 35; 36; 37] that present monitoring systems in agriculture based on WSN. [PERSON] et al. [32] proposed a methodology to implement WSN in agriculture and define the phases that cover the life cycle of WSN applications. [PERSON] et al. [33] presented the design of a real-time agricultural monitoring system based on WSN. They also provided the hardware design of the sensors and the software flow diagram. [PERSON] and [PERSON] [34] also developed a WSN system for agriculture through which they detected environmental data and made control decisions in real time. [PERSON] et al. [35] proposed a monitoring system for agriculture that used a WSN, which collected soil and environmental information through sensors, image information using CCTV (Closed-Circuit Television), and finally GPS (Global Positioning System) location information. [PERSON] et al. [36] proposed a new platform called Integrated WSN Solution for Precision Agriculture, in which a WSN is deployed with IEEE 802.15.4 technology. It allowed the monitoring of the crop and its video surveillance. [PERSON] et al.