An IoT-Based Smart Plant Monitoring System

Athawale, Shashikant V.; Solanki, Mitali; Sapkal, Arati; Gawande, Ananya; Chaudhari, Sayali

doi:10.1007/978-981-13-9680-9_26

Cited by 10 publications

(2 citation statements)

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“…Plant sensors are effective for tracking plant health and productivity by monitoring plant growth and disease. [90][91][92] Compared with traditional tools, lightweight and leaf-implantable sensors are useful for detecting many plant parameters, including stresses (abiotic/biotic), drought, diseases, and nutrients. When combined with IoT-based devices, these sensors can remotely collect data, which is a key aspect of this promising technology.…”

Section: Plant Growth Monitoringmentioning

confidence: 99%

Internet of Things‐Enabled Food and Plant Sensors to Empower Sustainability

Ataei Kachouei,

Kaushik,

Ali

2023

Advanced Intelligent Systems

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To promote sustainability, this review explores: 1) the utilization of affordable high‐performance sensors that can enhance food safety and quality, plant growth, and disease management and 2) the Internet of Things (IoT)‐supported sensors to empower farmers, stakeholders, and agro‐food industries via rapid testing and predictive analysis based on sensing generated informatics using artificial intelligence (AI). The performance of such sensors is noticeable, but this technology is still not suitable to be used in real applications owing to the lack of focus, scalability, well‐coordinated research, and regulations. To cover this gap, this review carefully and critically analyzes state‐of‐the‐art sensing technologies developed for food quality assurance (i.e., contaminants, toxins, and packaging testing) and plant growth monitoring (i.e., phenotyping, stresses, volatile organic components, nutrient levels, hormones, and pathogens) along with the possible challenges. The following has been proposed for future research: 1) promoting the optimized combination of green sensing units supported by IoT to perform testing at the location, considering the remote and urban areas as a key focus, and 2) analyzing generated informatics via AI should also be a focus for risk assessment understanding and optimizing necessary safety majors. Finally, the perspectives of IoT‐enabled sensors, along with their real‐world limitations, are discussed.

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Section: Plant Growth Monitoringmentioning

confidence: 99%

Internet of Things‐Enabled Food and Plant Sensors to Empower Sustainability

Ataei Kachouei,

Kaushik,

Ali

2023

Advanced Intelligent Systems

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“…IoT refers to a technology that tells that soon billions of devices will have stable connectivity and can be accessed from anywhere across the world. There are many components used to make IoT such as Wi-Fi module ESP8266 ESP-01, NODEMCU ESP8266 Wi-Fi [3], and Controller Board ESP-12 V2. These controllers are helpful in designed a small prototype system in many fields such as smart home [4], lighting control [5], healthcare [6], home security [7], and many more which help to simulate model before implemented at the real environment.…”

Section: Introductionmentioning

confidence: 99%

IoT Smart Agriculture for Aquaponics and Maintaining Goat Stall System

Effendi

Kassim

Sulaiman

et al. 2020

IJIE

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This research presents project development on smart farm and agriculture. The surge in global population is compelling a shift towards smart farm and agriculture practices. This coupled with the diminishing natural resources increase in unpredictable weather conditions makes food security a major concern for most countries. As a result, the use of the internet of things (IoT) and data analytics (DA) are employed to enhance the operational efficiency and productivity in the farm and agriculture sector. The objective is to design a prototype that used the internet of things on the farm and agriculture. Next is to have a monitoring and controlling or automation system that will benefit the farmer. Then collect all the data to be analyses on the rainfall, temperature, humidity, and light intensity. The methodology comprised of hardware, software, programming, sensors such as water sensor, light depending resistor sensor, temperature, and humidity sensor, and weight sensor for collected data. The result presents a prototype on aquaponics and goat stall that implement the concepts of the internet of things for monitoring, controlling, or automation system while data analytics is presented from all the sensors. Analytic data on the temperature, light intensity, humidity, and rainfall rate are analyzed. Surrounding temperatures are important for both plants and fish because if it too hot, they can die easily. The optimum light is needed by the plant for their photosynthesis process. Thus, by monitoring and collecting these parameters, data can be used for analyzing purposes. This project can benefit the agriculture and farm sectors in a larger or small scale.

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