**2. New growing systems for strawberry cultivation**

In a study conducted in China to use new technologies and mechanization techniques in strawberry cultivation, a small electric strawberry planting machine was developed in order to reduce the workload during planting, improve the planting technique by machine, and facilitate plant nutrition and other activities. This strawberry planter is based on placing the strawberry seedlings at the desired depth, quickly and accurately. In addition, it was reported that these non-polluting machines meet the high-capacity requirements. In that study, it was stated that the working endurance of the planting machine was 4.5 h and a success rate of 97.46% was achieved in terms of planting rate [6]. In strawberry cultivation, it is extremely important that the environment or soil to be planted has suitable conditions. Today, new technologies and methods have been used to control and accurately determine soil conditions. In a study carried out for this purpose, soil moisture content, humidity level and soil temperature were monitored using advanced systems at present. It was also indicated that, in addition to these parameters, maximum and minimum temperature and humidity values can be determined by an Arduino microcontroller, moisture sensor, temperature/humidity sensor, and GSM module. It was reported that accurate and effective data regarding the temperature and humidity of the greenhouse can be obtained with the help of a DHT 11 sensor, which was placed in the greenhouse and can communicate via SMS [7]. Considering software and information technologies in strawberry cultivation, these technologies have also begun to be used in monitoring plant diseases and pests, and suitable growing environments. For example, the use of the combination of the internet of things (IoT) with an environmental sensing and image processing device provided a very important contribution to the early and accurate detection of plant diseases and increasing yield. In order to detect and classify the disease correctly, the IoT system needs to send images of the disease to the system and provide feedback about the symptoms. In a study carried out for this purpose using a raspberry pi-based IoT device, images of disease symptoms and environmental parameters (humidity, air temperature, soil moisture, and soil pH) were examined in real-time in the MySQL database in order

to detect and classify the disease accurately. After the preliminary stage, the k-mean cluster algorithm was employed in the study to segregate the afflicted part of the plant from other parts and convert it to L\*, a\*, and b\* color space. For the classification of the diseases, multi-class SVM (Support Vector Machine) was used. Moreover, when using a gray level co-occurrence matrix, 14 different categories of color, texture, and shape properties were discovered. A total of 97.33% classification accuracy is achieved via the system. Therefore, the system used in this study will contribute significantly to the early detection of plant diseases, accurate and effective determination of environmental parameters, and yield increase [8]. In another study, Kim et al. [9] developed a common platform to collect agricultural environmental information using cloud-based technology. With the integrated system called Farm as a Service (FaaS), they monitored all data and models in agricultural enterprises. The connection and management of this system were carried out by using IoT devices. Moreover, the IoT-Hub network model was used in this study. It was stated that IoT-Hub ensures the accuracy of technology specialized for agricultural environments since this model supports efficient data transfer for each IoT device as well as communication with non-standard products, and exhibits high communication reliability even in poor communication environments. They reported that the customized FaaS system used in integrated agriculture implements different levels of specialized systems. As a result of this study, it was observed that this system played an important role in the early detection of infectious diseases regarding strawberries.
