Smart high-yield tomato cultivation: precision irrigation system using the Internet of Things

Abstract

The Internet of Things (IOT)-based smart farming promises ultrafast speeds and near real-time response. Precision farming enabled by the Internet of Things has the potential to boost efficiency and output while reducing water use. Therefore, IoT devices can aid farmers in keeping track crop health and development while also automating a variety of tasks (such as moisture level prediction, irrigation system, crop development, and nutrient levels). The IoT-based autonomous irrigation technique makes exact use of farmers’ time, money, and power. High crop yields can be achieved through consistent monitoring and sensing of crops utilizing a variety of IoT sensors to inform farmers of optimal harvest times. In this paper, a smart framework for growing tomatoes is developed, with influence from IoT devices or modules. With the help of IoT modules, we can forecast soil moisture levels and fine-tune the watering schedule. To further aid farmers, a smartphone app is currently in development that will provide them with crucial data on the health of their tomato crops. Large-scale experiments validate the proposed model’s ability to intelligently monitor the irrigation system, which contributes to higher tomato yields.

From Tradition to Innovation: IoT-Enabled Precision Farming Strategies for Optimal Resource Use efficiency in Tomato Crop Management

“…The total number of branches per plant of Sahoo variety at 30 DAT were 3.3 in control, 3.5 in F1 and 3.7 in F2 treatments. At 57 DAT, the number of branches per plants were 17.65 in control, 19.9 in F1 and 20.3 in F2 treatments. The variety SVTD8323 had total number of branches per plant were 3.1 in control, 3.2 in F1 and 3.9 in F2 treatments.…”

“…IoT-enabled precision farming has revolutionized agriculture by providing farmers with valuable insights and data that can help them make informed decisions about their crops (Atalla et al, 2023). This technology is particularly useful for crops such as tomatoes, which require precise care and attention to produce a high-quality yield (Singh et al, 2023).…”

Multi-Features and Multi-Deep Learning Networks to identify, prevent and control pests in tremendous farm fields combining IoT and pests sound analysis

“…In the given context, "e" represents the actual signal to be evaluated, whereas "v" denotes the presence of noise. Additionally, we suppose that the initial distribution for the accurate amplitude variable s implies a different IIDGD with (6) and gains of (9).…”

“…The implementation of IoT technology in irrigation systems enables the dynamic adjustment of water consumption by utilizing constantly updated data [9]. The use of this measure serves to mitigate the negative consequences of excessive watering, which might result in financial burdens, while simultaneously guaranteeing the attainment of ideal amounts of moisture for agricultural produce.…”

Prioritizing factors for the adoption of IoT-based smart irrigation in Saudi Arabia: a GRA/AHP approach

“…The traditional flood irrigation method, which is still widely used in KSA, is highly inefficient and wasteful, leading to water loss through evaporation and runoff (Dinar and Donoso, 2020). The demand for irrigation water Singh et al (2023) has increased over the years due to population growth (Rambo et al, 2017), expansion of agricultural activities, and increasing urbanization. Groundwater reserves, which are the primary irrigation water source, are rapidly depleting also due to over-extraction and inefficient use (Chowdhury and Al-Zahrani, 2013).…”