IoT-Based Low-Cost Automated Irrigation System for Smart Farming

Akhund, Tajim Md. Niamat Ullah; Newaz, Nishat Tasnim; Zaman, Zahura; Sultana, Atia; Barros, Alistair; Whaiduzzaman, Md

doi:10.1007/978-981-16-6309-3_9

Cited by 24 publications

(7 citation statements)

References 15 publications

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“…The IoT-based automated system uses applications to establish an independent irrigation system. It also sends SMS messages to our mobile devices, providing us with remote updates on irrigation field details [15]. Research has developed a smart irrigation system that estimates the depth of crop water (WUD) for tomato planting based on real-time soil moisture data.…”

Section: Literature Reviewmentioning

confidence: 99%

Developing a Hybrid Irrigation System for Smart Agriculture Using IoT Sensors and Machine Learning in Sri Ganganagar, Rajasthan

Kaur,

Bhatt,

Raja

2024

Journal of Sensors

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The agriculture sector is one of the largest consumers of fresh water. Different types of irrigation systems are available, including center pivot, drip and sprinkler systems, and linear motion systems. However, the complex structure of existing irrigation systems and their high maintenance costs encourage Indian farmers to continue using these methods. Due to its ease of use and low energy consumption, surface irrigation is one of the most popular irrigation techniques. Although the main reasons for poor irrigation application efficiency are uneven irrigation water distribution and deep absorption, using a variety of technologies, countries are trying to increase the sustainability of agriculture. Automated irrigation systems contribute significantly to water conservation. The combination of automation and Internet of Things (IoT) improves agricultural practices. These technologies help farmers understand their crops, minimize their impact on the environment, and preserve resources. They also enable efficient monitoring of the weather, water resources, and soil. This research proposes an intelligent, low-cost field irrigation system. The proposed prototype can measure soil moisture, rain status, wind speed, water level, temperature, and humidity using a hardware sensor and unit. To decide whether to turn on or off the motor, a variety of sensors are used to get a range of readings and conclusions. They enable automatic watering when soil moisture levels are below a certain threshold, and if soil moisture is equal to the required moisture, then the irrigation process stops. Every few minutes, the sensors measure the environmental factors. Data are collected and stored on a ThingSpeak cloud server for analysis. To evaluate the data we collected, we used a variety of models, such as K-nearest neighbors (KNN), Naïve Bayes, random forest, and logistic regression. Compared to other Naïve Bayes and random forest models, the accuracy rate was 98.8%, the mean square error was 0.16, and the results of logistic regression, KNN, and SVM were in order: (98.3%/1.66), (99.3%/0.66), and (99.5%/0.5), respectively. In the end, an automated irrigation system run on IoT applications gives farmers access to remote monitoring and control, as well as information about the specifics of the irrigation field.

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Section: Literature Reviewmentioning

confidence: 99%

Developing a Hybrid Irrigation System for Smart Agriculture Using IoT Sensors and Machine Learning in Sri Ganganagar, Rajasthan

Kaur,

Bhatt,

Raja

2024

Journal of Sensors

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“…In a related context, the authors of [19] propose an IoT-based low-cost posture and Bluetoothcontrolled robot designed to assist individuals with disabilities and those affected by viruses. Their work extends to the development of an IoT-based automated irrigation system for smart farming, as highlighted in [20]. Additionally, covering topics such as the role of robotics in medical applications [21], smart agricultural systems using IoT [22], and an IoT platform for advantageous renewable energy generation [23] uses IoT.…”

Section: Background Studymentioning

confidence: 99%

IoST-Enabled Robotic Arm Control and Abnormality Prediction Using Minimal Flex Sensors and Gaussian Mixture Models

Akhund,

Shaikh,

De La Torre Díez

et al. 2024

IEEE Access

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This work presents a groundbreaking approach with a fusion of the Internet of Sensing Things (IoST) and robotics. This system utilizes four flex sensors strategically placed on the most flexible fingers across both hands to control a Six-DoF robotic arm, offering a novel interface for those with limited mobility. This system can also be used for moving toxic objects. The Raspberry Pi is the central control unit that acquires data from the flex sensor and controls the servo motors. Moreover, the device incorporates machine learning to learn the daily movements of the users and predict abnormal finger movements. Multiple data analyses and visualization are initiated to predict the normal and abnormal data. GMMs or Gaussian Mixture Models showed successful results among various abnormality detection processes. This amalgamation of flexible sensing and mathematical modeling offers precision and adaptability in control mechanisms.

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“…These systems can also help in agriculture [15], poultry farm [16], disable people management [17], electronic voting [18], gaming [19], farming [20], nursing [21], remote data sensing [22], virus affected area monitoring [23][24] from remote places [25]. IoT based irrigation systems are helping farmers [26] and farming [27]. Robotics and IoT are doing great in medical fields also [28].…”

Section: Literature Reviewmentioning

confidence: 99%

Covid-19 Effects on Private Tuition in Bangladesh and Internet of Things based support system

Akhund¹,

Newaz²,

Sarker³

2023

IJCDS

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Private tutoring is an important matter in Bangladesh. Many students take private tutor for various study. Many teachers and senior students become private tutor to get some extra income or primary income. During the COVID-19 pandemic time this profession and teaching status are changed in a great extent. This work makes a survey about private tuition among thousands of students and teachers from Dhaka city in Bangladesh. This work analyzed the collected data in multiple aspects and suggested some support system with the Internet of Things and Information Technology. The proposed IoT based system can help the students and teachers with remote monitoring. With the IoT based system the tutor and student both can check each other's physical condition from a remote place without affecting them with virus. The collected data shows a clear concept about the condition of private tuition and the IoT based solution worked successfully. The outcome of the system showed good results.

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IoT-Based Low-Cost Automated Irrigation System for Smart Farming

Cited by 24 publications

References 15 publications

Developing a Hybrid Irrigation System for Smart Agriculture Using IoT Sensors and Machine Learning in Sri Ganganagar, Rajasthan

Developing a Hybrid Irrigation System for Smart Agriculture Using IoT Sensors and Machine Learning in Sri Ganganagar, Rajasthan

IoST-Enabled Robotic Arm Control and Abnormality Prediction Using Minimal Flex Sensors and Gaussian Mixture Models

Covid-19 Effects on Private Tuition in Bangladesh and Internet of Things based support system

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