Spatiotemporal modeling to predict soil moisture for sustainable smart irrigation

Chandrappa, Varun Yarehalli; Ray, Biplob; Ashwatha, Nanjappa; Shrestha, Pramod

doi:10.1016/j.iot.2022.100671

Cited by 19 publications

(1 citation statement)

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“…Examples are: Toro Precision Soil Moisture Sensor, AquaCheck Soil Moisture Monitoring System etc. [25].…”

Section: B Literature Reviewmentioning

confidence: 99%

Smart Irrigation for Sustainable Farming: Low- Cost IoT Solution

Akhtar,

Sinha,

Kumar

et al. 2024

Preprint

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This article presents a low-cost irrigation system that harnesses the power of IoT technologies to revolutionize water management practices and enhance agricultural productivity. The system uses soil moisture sensors, climate sensors, and temperature sensors that communicate with a central controlling mechanism. The data collected from the sensors is handled with the help of machine learning algorithms to make automated decisions about irrigation. This system is useful for small-scale farmers who lack access to expensive irrigation technology. The system has undergone field trials and has shown encouraging results. The soil moisture sensors have an average error rate of below 5%, saying that the system can precisely recognize soil moisture levels. The crops grown with the smart irrigation system had a 10% greater yield than the control group, and the system was able to limit water usage by up to 30% in comparison to tradition irrigation techniques. The potential effects of the low-cost smart irrigation system on food security and agriculture in developing countries must be taken into consideration. As water resources become more expensive and scarcer, technology can change irrigation practices and enhance the development of sustainable agriculture. To adapt the system to the unique requirements of small farmers in various regions and to examine the practicality of scaling it up for wider application, more research and development are needed. All things could be done with the low-cost smart irrigation system.

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“…Examples are: Toro Precision Soil Moisture Sensor, AquaCheck Soil Moisture Monitoring System etc. [25].…”

Section: B Literature Reviewmentioning

confidence: 99%