A novel and smart automatic light-seeking flowerpot for monitoring flower growth environment

Zhang, Xihai; Liu, Dong; Fan, Chengguo; Du, Jiali; Meng, Fanfeng; Fang, Junlong

doi:10.25165/j.ijabe.20181102.2786

Cited by 8 publications

(6 citation statements)

References 8 publications

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“…al. [12] made a system for controlling the relative soil moisture, which can be very well maintained. When the soil moisture curve changes from declining trend to rising, the fuzzy control system certainly makes an accurate control decision and responds quickly to open the solenoid valve for watering.…”

Section: Introduction mentioning

confidence: 99%

Reduction of environmental pollution by using RTK-navigation in soil cultivation

Kelc

Stajnko

Berk

et al. 2019

International Journal of Agricultural and Biological Engineering

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The concept of precision farming is wide, and it represents the efficiency which is achieved with the help of precision. For the navigation of field machines, the RTK (Real Time Kinematic) navigation is needed. In order to verify the positive effects in practice, RTK navigation system equipped with Fentd 828 was applied to test the width of overlap, and fuel and time that could be saved compared with manual driving. The experiment was conducted on two areas of land size of 172 m × 58 m with two working machines width 3 m and 6 m. Results indicated that 15.7% of the time and 8.66% of the fuel were saved on a working machine of 3 meters width, and 12.6% of the time and 8.28% of the fuel were saved on a working machine of 6 m width. The width of the overlap represent 10% of the working width of the machine, and with the method of turning, which RTK navigation allows, additional time was saved. Ecological footprint, CO 2 emissions and global warming potential (GWP) was estimated under different guiding systems. The largest footprint was related to manual tillage with 3 m width working machine, while estimation on CO 2 (kg) emissions and GWP obtained the same result. The use of precision agriculture technologies allows better planning and analyzing of working procedures. The air, water and soil pollution are less intensive.

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Section: Introduction mentioning

confidence: 99%

Reduction of environmental pollution by using RTK-navigation in soil cultivation

Kelc

Stajnko

Berk

et al. 2019

International Journal of Agricultural and Biological Engineering

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“…Further improvement of the decision-making model would mean including more parameters (varying the tractor speed, the speed and direction of the wind and varying air pressure) needed to define the opening/closing EMV time more accurately. This would lead to more input/output variables, along with additional membership functions and rules in the first stage; we could even introduce a lookup table to prepare the responses of the fuzzy logic algorithm based on different input combinations from different sensors in the second stage [28,29] . This would, of course, increase the number of rules, but only those influencing the PPP process.…”

Section: Discussionmentioning

confidence: 99%

Intelligent automated system based on a fuzzy logic system for plant protection product control in orchards

Berk

Belšak

Stajnko

et al. 2019

International Journal of Agricultural and Biological Engineering

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The spraying of plant protection product (PPP) in orchards is a very hazardous working procedure, owing to the spray drift caused by the uneven operation of conventional axial boom sprayers. This research describes an intelligent automated system for precise (PPP) distribution in real-time. It is based on an intelligent decision-making model using ultrasonic measurements of leaf area density under laboratory conditions, which serve to trigger electromagnetic valves (EMV) on the axial boom sprayer. A fuzzy logic algorithm was an integrated part of the intelligent system for controlling the PPP by generating the pulse width modulation signal and applying it through the EMV of the prototype boom sprayer. The results showed that by using an intelligent decision-making model, the same efficiency as with conventional methods could be achieved, but with reduced usage of plant protection products. Thus, the intelligent automated system used 4.8 times less spray mixture than the conventional one.

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“…The study [8] was conducted on the remote control smart pot system capable of measuring the mediating variables of plant growth through temperature & humidity sensor photosensitive resistance. The study [9] was conducted on the auto light-seeking pot that is able to collect flower environment information such as temperature, humidity, intensity of light, and a water level, to display the information on LCD screen, and to make automatic water supply and light seeking on the basis of feedback information. However, most studies focused on plant growth.…”

Section: A Smart Potmentioning

confidence: 99%

Implementation of Smart Pot System using USB Plug-in Sensor

2019

IJRTE

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Since the IoT based technologies were applied to various areas, people’s living has been more convenient and efficient. In present society, the number of one-person households is on the constant rise, and the industrial advancement causes their psychological alienation more. In the circumstance, a variety of methods to recover their psychological stability try to be found. More people regain their mental stability in the way of raising plants. Therefore, this study proposes the smart pot system using a USB plug-in sensor. In this study was implemented the smart pot system that is able to check a plant’s status on the basis of accurate data, such as plant growth information and environmental information, at any times and any places, to control and maintain the environment of growth, to monitor environmental information by setting and collecting automatically such data as temperature, humidity, solar radiation quantity, CO2, and growth conditions, to detect abnormal situations through human body monitoring and fire monitoring of indoor conditions, and to prevent dangerous circumstances. In the market, there are already home pot products to which IoT technology is applied. However, most of the smart pots fail to take into account species of plants and are recommended to be used for particular plants only. The proposed system is the USB plug-in based smart pot system capable of monitoring and controlling plant growth, supporting human relationship, and implementing user-customized functions by easily expanding sensors which are able to notice indoor emergency and disaster situations in everyday life. It also can add the function of meeting an emotional need by changing a LED color when people come close to their pet plants. The proposed system is expected to help many people growing plants easily realize plant growing conditions and indoor situations and improve their psychological stability.

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A novel and smart automatic light-seeking flowerpot for monitoring flower growth environment

Cited by 8 publications

References 8 publications

Reduction of environmental pollution by using RTK-navigation in soil cultivation

Reduction of environmental pollution by using RTK-navigation in soil cultivation

Intelligent automated system based on a fuzzy logic system for plant protection product control in orchards

Implementation of Smart Pot System using USB Plug-in Sensor

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