FPGA-based wireless smart sensor for real-time photosynthesis monitoring

Millán-Almaraz, Jesús Roberto; Torres-Pacheco, Irineo; Galvan, Carlos Duarte; Guevara-González, Ramón Gerardo; Contreras-Medina, Luis Miguel; Romero-Troncoso, René de Jesús; Rivera-Guillen, Jesus Rooney

doi:10.1016/j.compag.2013.04.009

Cited by 32 publications

(19 citation statements)

References 21 publications

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“…for fruit recognition system. Jesus et al [29] proposed a field programmable gate array-(FPGA-) based wireless smart sensor for real-time photosynthesis monitoring system. A case study to monitor the photosynthetic response of chili pepper.…”

Section: Horticulture/plantmentioning

confidence: 99%

The State-of-the-Art of Knowledge-Intensive Agriculture: A Review on Applied Sensing Systems and Data Analytics

Basnet

Bang

2018

Journal of Sensors

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The application of sensors and information and communication technology (ICT) in agriculture has played a vital role in improving agricultural production and the value chain. Recently, the use of data analytics has shifted agriculture from input-intensive to knowledge-intensive as a large amount of agricultural data can be stored, shared, and analyzed to create information. In this paper, we have reviewed existing sensors and data analytics techniques used in different areas of agriculture. We have classified agriculture into five categories and reviewed the state-of-the-art technology in practice and ongoing research in each of these areas. Also, we have presented a case study of Korean scenario compared with other developed nations and addressed some of the issues associated with it. Finally, we have discussed current and future challenges and provided our views on how such issues can be addressed.

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Section: Horticulture/plantmentioning

confidence: 99%

The State-of-the-Art of Knowledge-Intensive Agriculture: A Review on Applied Sensing Systems and Data Analytics

Basnet

Bang

2018

Journal of Sensors

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“…The project [2] has been carried out to develop a novel FPGA-based photosynthesis smart sensor. The smart sensor is capable of acquiring and fusing the primary sensor signals to measure temperature, relative humidity, solar radiation, CO 2 , air pressure and air flow.…”

Section: Related Workmentioning

confidence: 99%

An Intelligent Wireless Sensor Network Temperature Acquisition System with an FPGA

Souissi¹,

Ammar²

2014

WSN

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The use of FPGAs in the design of wireless sensor networks can improve the processing system performance so as to develop sensor nodes with powerful embedded processor. In fact, FPGA has a super-parallel processing capacity in data processing and its use and configuration is flexible. This allows intensive digital signal processing tasks like Fast Fourier Transforms to be implemented on the sensor node and this can even support intelligent applications and new security algorithms. This paper presents a wireless sensor network system that monitors and visualizes periodically the environment temperature. The proposed system consists of a base station node based on an FPGA DE2-70 and five sensor nodes having the architecture of the System-on-Chip CC2430.

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“…This unit also computes the Real Time-Carbon Balance ( RT - CB ), by integrating P n , this index, as was previously reported in [22], describes the accumulation of carbon due to the photosynthesis activity. It is calculated by using Equation (3), which is the discrete time version of the integral:

R T - C B = T_{s} \sum_{k = 0}^{N} P_{n} false(k false)

…”

Section: Smart Sensormentioning

confidence: 99%

FPGA-Based Smart Sensor for Drought Stress Detection in Tomato Plants Using Novel Physiological Variables and Discrete Wavelet Transform

Galvan

Romero-Troncoso

Torres-Pacheco

et al. 2014

Sensors

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Soil drought represents one of the most dangerous stresses for plants. It impacts the yield and quality of crops, and if it remains undetected for a long time, the entire crop could be lost. However, for some plants a certain amount of drought stress improves specific characteristics. In such cases, a device capable of detecting and quantifying the impact of drought stress in plants is desirable. This article focuses on testing if the monitoring of physiological process through a gas exchange methodology provides enough information to detect drought stress conditions in plants. The experiment consists of using a set of smart sensors based on Field Programmable Gate Arrays (FPGAs) to monitor a group of plants under controlled drought conditions. The main objective was to use different digital signal processing techniques such as the Discrete Wavelet Transform (DWT) to explore the response of plant physiological processes to drought. Also, an index-based methodology was utilized to compensate the spatial variation inside the greenhouse. As a result, differences between treatments were determined to be independent of climate variations inside the greenhouse. Finally, after using the DWT as digital filter, results demonstrated that the proposed system is capable to reject high frequency noise and to detect drought conditions.

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FPGA-based wireless smart sensor for real-time photosynthesis monitoring

Cited by 32 publications

References 21 publications

The State-of-the-Art of Knowledge-Intensive Agriculture: A Review on Applied Sensing Systems and Data Analytics

The State-of-the-Art of Knowledge-Intensive Agriculture: A Review on Applied Sensing Systems and Data Analytics

An Intelligent Wireless Sensor Network Temperature Acquisition System with an FPGA

FPGA-Based Smart Sensor for Drought Stress Detection in Tomato Plants Using Novel Physiological Variables and Discrete Wavelet Transform

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