scholarly journals Design of Greenhouse Automation with Arduino

2018 ◽  
pp. 41-45
Author(s):  
Erkan Unal ◽  
Kadir Ekmekci ◽  
Berkan Yilmaz ◽  
Ali Emre Kiziltuna ◽  
Muhammet Tahir Guneser
Keyword(s):  
Soil Moisture ◽  
Light Intensity ◽  
Data System ◽  
Automation System ◽  
And Control

In this study, a greenhouse automation system was designed by using Arduino Mega card. This system was planned to display and control the greenhouse data system, which is including humidity, light intensity, soil moisture and temperature for the process from sowing of plant to harvesting, was planned for various plants. The system was designed compatible with soil or the landless greenhouses systems.

scholarly journals Greenhouse Monitoring Using IOT

2021 ◽  
Vol 9 (VII) ◽  
pp. 2425-2431
Author(s):  
S. Sophiya Susan
Keyword(s):  
Soil Moisture ◽  
Light Intensity ◽  
Soil Condition ◽  
Vital Role ◽  
Moisture Sensor ◽  
Light Supply ◽  
Cloud Server ◽  
Carbon Monoxide Detection ◽  
And Control ◽  
Environment Parameters

Agriculture plays vital role in the economic of developing country. This paper Proposes, monitoring and access control system for greenhouse by using IOT. Our Proposed system will check for certain common conditions, for instance such as moistness, soil condition, temperature, humidity, light intensity, Carbon monoxide detection and operate the water supply through phone itself. All the environmental instance information are send to cloud server using Wi-Fi module ESP32. If any climatic condition crosses certain specific threshold limit related action will be taken place like if the temperature becomes high the rooftop of the green house will be opened or the exhaust fan will be switch ON manually by the user and if the light intensity goes down the external light supply will be given to the plants. The microcontroller will turn ON the motor if the moisture content of soil doesn’t meet the required condition. The sensors used in the proposed system are Resistive soil moisture sensor, DHT11 sensor, MQ9 sensor and LDR. The user can monitor and control parameters through mobile phone by using BLYNK app. This model was attempted in order to achieve the intelligent monitoring of greenhouse environment parameters like temperature, humidity, soil moisture etc., keeping the user continuously informed of the conditions inside the greenhouse using IOT technology.

SISTEM OTOMASI PENYIRAMAN TANAMAN BERBASIS TELEGRAM

SIGMA TEKNIKA ◽  
2019 ◽  
Vol 2 (1) ◽  
pp. 81
Author(s):  
Muhammad Irsyam
Keyword(s):  
Soil Moisture ◽  
Plant Growth ◽  
Water Intake ◽  
Smart Phone ◽  
Growth Failure ◽  
Automation System ◽  
Notification System ◽  
Efficiency And Effectiveness ◽  
Plant Automation

ABSTRAK           Faktor yang menentukan kegagalan pertumbuhan suatu tanaman hampir dipengaruhi oleh teknik atau cara penyiraman tanaman yang salah. Hal ini disebabkan oleh teknik penyiraman yang dilakukan secara manual sehingga tidak semua tanaman mendapatkan asupan air yang merata untuk menghidari tanaman menjadi layu. Faktor lain yang menyebabkan kegagalan pertumbuhan tanaman adalah kelembaban tanah.          Oleh karena itu, untuk mengurangi permasalahan tersebut dirancanglah “Sistem Otomasi Penyiraman Tanaman Berbasis Telegram”. Adapun sistem ini meliputi penyiraman tanaman secara otomatis berdasarkan kadar kelembaban tanah dengan sistem pemberitahuan atau notifikasi yang akan dikirimkan kepada petani dengan menggunakan aplikasi smart phone Telegram.          Sistem ini telah mampu mengontrol penyiraman sesuai dengan kondisi yang diinginkan. Dengan adanya sistem otomasi penyiraman tanaman berbasis telegram maka dapat meningkatkan efesiensi dan efektivitas petani sehingga kualitas tanaman dapat terjaga dengan baik.Kata kunci -- Penyiraman Tanaman, Penyiraman Secara Otomatis, Telegram.ABSTRACT                Factors that determine the failure of a plant's growth of almost are influenced by incorrect cropping techniques or methods. This is caused by the technique of watering is done manually so that not all plants get a uniform water intake to avoid crops withered. Another factor that causes plant growth failure is soil moisture.          Therefore, to reduce the problem was designed "Telegram Based Water Planting Automation System". The system includes automatic watering of plants based on moisture level of the soil with a notification or notification system that will be sent to farmers using Telegram smart phone applications.          This system has been able to control the watering according to the desired conditions. With the telegraph-based plant watering plant automation system can improve the efficiency and effectiveness of farmers so that the quality of the plant can be maintained properly. Keywords -- Watering Plants, Watering Automatically, Telegram.  

Biology and Control of Black Nightshade (Solanum nigrum) in Cotton (Gossypium hirsutum)

1991 ◽  
Vol 5 (4) ◽  
pp. 713-722 ◽  
Author(s):  
Paul E. Keeley ◽  
Robert J. Thullen
Keyword(s):  
Soil Moisture ◽  
Sprinkler Irrigation ◽  
Yield Losses ◽  
Accelerated Degradation ◽  
Black Nightshade ◽  
Excellent Control ◽  
Late Application ◽  
And Control ◽  
Field Plots ◽  
Weed Resistance

A 4-yr study (1985, 1987, 1988, 1989) was conducted on the same field plots at Shafter, CA to evaluate the efficacy of prometryn in controlling black nightshade on planting beds of cotton. Two rates (1.7 and 2.2 kg ai ha–1) were applied at two times (mid March before the preplant irrigation and early April at cotton planting) each year. Incorporation of prometryn into moist planting beds with a powered rotary tiller operated at 10 cm deeper resulted in excellent control of black nightshade under low to moderate weed pressure in 1985 and 1987. Control of nightshade with early and late applications of 1.7 kg ha–1of prometryn under high weed pressure in 1988 was only 70% at harvest, and yield losses of cotton averaged 25%. Yields of cotton treated with 2.2 kg ha–1of prometryn in 1988 were not significantly different from weed-free plots. Only the late application of 2.2 kg ha–1of prometryn prevented significant cotton losses under extreme weed pressure in 1989. Cotton yield losses with the other prometryn treatments ranged from 78 to 100%. Losses of cotton in weedy-check plots that received only cultivation ranged from 22% in the absence of rain or irrigation at cotton planting in 1987 to as much as 100% when rain fell in 1988 or plots were irrigated at planting in 1989. Plots hoed one time 4 wk after cotton planting yielded an average of 84% as much seed cotton as weed-free plots. In an attempt to determine why the efficacy of prometryn declined between 1985 and 1989, several experiments were conducted in 1988 to 1990 to discover reasons for this poor control of nightshade. Because efforts failed to provide evidence for the movement of the herbicide with water, the development of weed resistance to prometryn, or accelerated degradation of this herbicide in soil, increasing weed seed populations in soil were believed to have contributed greatly to the declining nightshade control from prometryn. The fact that prometryn applied and incorporated into flat soil provided excellent control of nightshade in 1990 under sprinkler irrigation indicated that both soil moisture and incorporation techniques limited activity of prometryn in planting beds in 1988 and 1989. Incomplete control of nightshade plus good soil moisture at planting contributed to the high weed populations in 1988 and 1989.

scholarly journals Home Automation with Intruder Detection and Energy Control

2021 ◽  
Vol 9 (VI) ◽  
pp. 3473-3480
Author(s):  
M. Niharika
Keyword(s):  
Light Intensity ◽  
Smart Home ◽  
Security System ◽  
Automation System ◽  
Home Automation ◽  
Energy Control ◽  
Intruder Detection ◽  
Alert Message ◽  
Home Automation System

In previous project we made a home automation system, where we can control our appliances through Blynk app and Google assistant with the help of IFTTT. As an extension we will provide feedback to user whether the appliance is on or off. We will also use sensors like LDR for measuring light intensity in this project to make it smart. We will also include security system where in we have sensors to doors and windows and give buzzer along with an alert message to the user. On a whole we will provide a smart home automation system.

Influence of pesticides, soil temperature and moisture on entomopathogenic nematodes from southern Benin and control of underground termite nest populations

Nematology ◽  
2015 ◽  
Vol 17 (9) ◽  
pp. 1057-1069 ◽  
Author(s):  
Hugues Baimey ◽  
Lionel Zadji ◽  
Leonard Afouda ◽  
Maurice Moens ◽  
Wilfrida Decraemer
Keyword(s):  
Soil Moisture ◽  
Soil Temperature ◽  
Entomopathogenic Nematodes ◽  
Galleria Mellonella ◽  
Macrotermes Bellicosus ◽  
And Control ◽  
The Impact ◽  
Termite Nest ◽  
Southern Benin ◽  
Soil Temperature And Moisture

The influence of three pesticides on the viability and infectivity of four Beninese isolates of entomopathogenic nematodes (EPN), Heterorhabditis indica Ayogbe1, H. sonorensis Azohoue2, H. sonorensis Ze3, and Steinernema sp. Bembereke, was determined. The impact of both soil temperature and soil moisture on the virulence of these EPN to Trinervitermes occidentalis was investigated in laboratory assays. The effect of EPN-infected Galleria mellonella larvae on underground populations of Macrotermes bellicosus was also examined. All tested Heterorhabditis species were more tolerant to glyphosate and fipronil than the Steinernema species. Heterorhabditis sonorensis Azohoue2, showed the best results with 63.2% termite mortality at a soil temperature of 35°C. The increase of soil moisture to 20% (w/w) did not negatively influence the virulence of tested EPN. The underground populations of 71% or 60% treated nests were controlled by H. sonorensis Azohoue2- or H. indica Ayogbe1-infected G. mellonella larvae, respectively.

Effect of Interspecific Interference, Light Intensity, and Soil Moisture on Soybean (Glycine max), Common Cocklebur (Xanthium strumarium), and Sicklepod (Cassia obtusifolia) Water Uptake

Weed Science ◽  
1993 ◽  
Vol 41 (4) ◽  
pp. 534-540 ◽  
Author(s):  
Ronald E. Jones ◽  
Robert H. Walker
Keyword(s):  
Soil Moisture ◽  
Light Intensity ◽  
Leaf Area ◽  
Water Uptake ◽  
Root Weight ◽  
Pressure Potential ◽  
Unit Leaf Area ◽  
Unit Leaf ◽  
Shoot Weight ◽  
The Relationship

Greenhouse and growth chamber experiments with potted plants were conducted to determine the effects of interspecific root and canopy interference, light intensity, and soil moisture on water uptake and biomass of soybean, common cocklebur, and sicklepod. Canopy interference and canopy plus root interference of soybean with common cocklebur increased soybean water uptake per plant and per unit leaf area. Root interference with soybean decreased common cocklebur water uptake per plant. Canopy interference of soybean with sicklepod increased soybean water uptake per unit leaf area, while root interference decreased uptake per plant. Combined root and canopy interference with soybean decreased water uptake per plant for sicklepod. Soybean leaf area and shoot weight were reduced by root interference with both weeds. Common cocklebur and sicklepod leaf area and shoot weight were reduced by root and canopy interference with soybeans. Only common cocklebur root weight decreased when canopies interfered and roots did not. The relationship between light intensity and water uptake per unit leaf area was linear in both years with water uptake proportional to light intensity. In 1991 water uptake response to tight was greater for common cocklebur than for sicklepod. The relationship between soil moisture level and water uptake was logarithmic. Common cocklebur water uptake was two times that of soybean or sicklepod at −2 kPa of pressure potential. In 1991 common cocklebur water uptake decreased at a greater rate than soybean or sicklepod in response to pressure potential changes from −2 to −100 kPa.

scholarly journals Changes in Metabolome and Nutritional Quality of Lycium barbarum Fruits from Three Typical Growing Areas of China as Revealed by Widely Targeted Metabolomics

Metabolites ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 46 ◽  
Author(s):  
Yajun Wang ◽  
Xiaojie Liang ◽  
Yuekun Li ◽  
Yunfang Fan ◽  
Yanlong Li ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Light Intensity ◽  
Nutritional Quality ◽  
Climatic Factors ◽  
Northwest China ◽  
High Light Intensity ◽  
Climatic Conditions ◽  
Targeted Metabolomics ◽  
Lycium Barbarum ◽  
Widely Targeted Metabolomics

This study aimed at assessing the climatic factors influencing the wolfberry fruit morphology, and the composition of its nutritious metabolites. The cultivar Ningqi1, widely grown in Northwest China was collected from three typical ecological growing counties with contrasting climatic conditions: Ningxia Zhongning (NF), Xinjiang Jinghe (XF) and Qinghai Nomuhong (QF). During the ripening period, 45 fruits from different plantations at each location were sampled. A total of 393 metabolites were detected in all samples through the widely targeted metabolomics approach and grouped into 19 known classes. Fruits from QF were the biggest followed by those from XF and NF. The altitude, relative humidity and light intensity had negative and strong correlations with most of the metabolites, suggesting that growing wolfberry in very high altitudes and under high light intensity is detrimental for the fruit nutritional quality. Soil moisture content is highly and negatively correlated with vitamins, organic acids and carbohydrates while moderately and positively correlated with other classes of metabolites. In contrast, air and soil temperatures exhibited positive correlation with majority of the metabolites. Overall, our results suggest high soil and air temperatures, low altitude and light intensity and moderate soil moisture, as the suitable conditions to produce Lycium fruits with high content of nutritious metabolites.

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