Literature Review of Smart Irrigation System

In today's world, the need for sustainable and efficient irrigation systems has become increasingly important. With the growing population and limited water resources, it is essential to find innovative solutions that can help conserve water while ensuring proper crop growth. In this literature review, we will focus on the concept of smart irrigation systems, particularly the role of fuzzy logic in optimizing irrigation processes.

Fuzzy logic, introduced by Lofti Asker Zadeh in 1965, is an alternative solution to classic Boolean logic for addressing complex problems that require reasoning and consideration of uncertainties. In the context of smart irrigation systems, fuzzy logic allows for the use of variables that can take a continuum of values, rather than being limited to binary values (true or false). This approach enables us to develop more accurate models for predicting soil moisture levels, temperature, and other environmental factors that affect crop growth.

The use of fuzzy logic in smart irrigation systems offers several benefits, including improved water management, reduced waste, and increased crop yields. By incorporating fuzzy logic into irrigation systems, farmers can make more informed decisions about when and how much water to apply to their crops. This approach also allows for the integration of various sensors and data sources, enabling real-time monitoring and adjustments.

In addition to its application in agriculture, fuzzy logic has also been used to develop smart irrigation systems for urban areas, such as parks and front gardens. These systems can be designed to adapt to different types of containers and soil conditions, making them more accessible and user-friendly for urban growers.

Despite the potential benefits of fuzzy logic in smart irrigation systems, there are still challenges to overcome. For example, the use of soilless cultivation methods is often preferred over soil-based methods due to concerns about soil degradation and nutrient deficiencies. However, soil-based methods remain the most common approach in both rural and urban agriculture, and research on technologies applied to soil cropping is ongoing.

In conclusion, this literature review highlights the importance of fuzzy logic in optimizing irrigation processes and improving crop yields. By incorporating fuzzy logic into smart irrigation systems, farmers can make more informed decisions about water management and reduce waste. Further research is needed to fully understand the potential benefits and challenges of fuzzy logic in agriculture and urban areas.

Literature review of smart irrigation system