scholarly journals SOIL QUALITY MONITORING PROTOTYPE WITH HUMIDITY AND TEMPERATURE PARAMETERS FOR PADDY PLANTS

2020 ◽  
Vol 12 (1) ◽  
pp. 14
Author(s):  
Susilawati Susilawati ◽  
Iqbal Maulana
Keyword(s):  
Temperature Sensor ◽  
Technological Development ◽  
Rice Paddy ◽  
Paddy Fields ◽  
Quality Monitoring ◽  
Measurement Tool ◽  
Moisture Sensor ◽  
Temperature And Humidity ◽  
Temperature Parameter ◽  
Soil Quality Monitoring

<p class="abstrak">Paddy is one of the most important plants in Indonesia because most of the Indonesian main food is rice. Paddy productivity can be increased by utilizing technological development. This study aims to design and make a measurement tool for soil temperature and humidity in paddy fields in the Karawang regency. This measurement tool uses Arduino mega and several sensors, the DS18B20 sensor which functions as a ground temperature sensor. Grove moisture sensor that functions as a sensor to detect soil moisture. Information for the value of these parameters will be listed on the LCD that has been installed. Data was collected in the paddy fields of Telukjambe sub-district, Karawang Regency, data collection was carried out with a depth of 2 cm and a depth of 4 cm. At a depth of 4 cm, the temperature and humidity parameters are stable, while at a depth of 2 cm the temperature parameter is stable while the humidity is unstable, and the best humidity value is at a depth of 4 cm.</p>

scholarly journals Smart Farming for Lowland Strawberry (Fragaria x ananassa) Production

2021 ◽  
Vol 12 (3) ◽  
pp. 1797-1804
Author(s):  
Jayson J. Elenzano Et.al
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Moisture Sensor ◽  
Smart Farming ◽  
Temperature And Humidity ◽  
The Status ◽  
Temperature Parameter ◽  
Arduino Microcontroller ◽  
And Control ◽  
Parameter Values

The developed system monitors the humidity levels, moisture content of the soil and surrounding temperature. Parameter values such as maximum and minimum temperature, maximum and minimum humidity values can be monitored accordingly by sending an sms to the system using arduino microcontroller, gsm module, moisture sensor and dht11 temperature/humidity sensor. This design maybe used for monitoring and controlling temperature and humidity value via sms. This system monitors and control the water content of the soil using a moisture sensor which runs under the control of a microcontroller, a dht 11 sensor to control and monitor the greenhouse humidity and proper temperature and a short messaging system (sms) to notify the caretaker/ owner on the moisture level content and temperature/humidity of the greenhouse. The system monitored and maintains the proper temperature, humidity and soil moisture content inside the greenhouse. The device has been successfully tested under simulated conditions and showed the ability of controlling temperature, humidity and soil moisture. The system notified the caretaker/farmer via short messaging system (sms) for the notification status (information) and triggering the water pump. The device showed the capability of sending sms holding the latest temperature and humidity information and also the status of the greenhouse.

scholarly journals Effects of Biochar Amendment on CO2 Emissions from Paddy Fields under Water-Saving Irrigation

2018 ◽  
Vol 15 (11) ◽  
pp. 2580 ◽  
Author(s):  
Shihong Yang ◽  
Zewei Jiang ◽  
Xiao Sun ◽  
Jie Ding ◽  
Junzeng Xu
Keyword(s):  
Co2 Emissions ◽  
Rice Yield ◽  
Rice Paddy ◽  
C Sequestration ◽  
Sensitivity Coefficient ◽  
Water Saving ◽  
Paddy Fields ◽  
Flood Irrigation ◽  
Controlled Irrigation ◽  
Biochar Amendment

The role of carbon pool of biochar as a method of long-term C sequestration in global warming mitigation is unclear. A two-year field study was conducted to investigate the seasonal variations of CO2 emissions from water-saving irrigation paddy fields in response to biochar amendment and irrigation patterns. Three biochar treatments under water-saving irrigation and one biochar treatment under flooding irrigation were studied, and the application rates were 0, 20, 40, and 40 t ha−1 and labeled as CI + NB (controlled irrigation and none biochar added), CI + MB (controlled irrigation and medium biochar added), CI + HB (controlled irrigation and high biochar added), and FI + HB (flood irrigation and high biochar added), respectively. Results showed that biochar application at medium rates (20 t ha−1) decreased CO2 emissions by 1.64–8.83% in rice paddy fields under water-saving irrigation, compared with the non-amendment treatment. However, the CO2 emissions from paddy fields increased by 4.39–5.43% in the CI + HB treatment, compared with CI + NB. Furthermore, the mean CO2 emissions from paddy fields under water-saving irrigation decreased by 2.22% compared with flood irrigation under the same amount of biochar application (40 t ha−1). Biochar amendment increased rice yield and water use efficiency by 9.35–36.30% and 15.1–42.5%, respectively, when combined with water-saving irrigation. The CO2 emissions were reduced in the CI + MB treatment, which then increased rice yield. The CO2 emissions from paddy fields were positively correlated with temperature. The highest value of the temperature sensitivity coefficient (Q10) was derived for the CI + MB treatment. The Q10 was higher under water-saving irrigation compared with flooding irrigation.

scholarly journals Dry matter accumulation and plant type of the high yielding soybean grown under converted rice paddy fields.

1984 ◽  
Vol 53 (4) ◽  
pp. 510-518 ◽  
Author(s):  
Kimio NAKASEKO ◽  
Humio NOMURA ◽  
Kanji GOTOH ◽  
Takeshi OHNUMA ◽  
Yoshikatsu ABE ◽  
...  
Keyword(s):  
Dry Matter ◽  
Rice Paddy ◽  
Paddy Fields ◽  
Dry Matter Accumulation ◽  
Plant Type ◽  
Rice Paddy Fields

scholarly journals Crop Cultivation in a Greenhouse using IOT

2021 ◽  
Vol 9 (VI) ◽  
pp. 4432-4437
Author(s):  
K. Akanksha
Keyword(s):  
Soil Moisture ◽  
Crop Yield ◽  
Mobile Phones ◽  
Temperature Sensor ◽  
Moisture Level ◽  
Crop Cultivation ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Turn On ◽  
Light Sensor

Nowadays gardening has become a hobby for everyone. Everyone is showing interest in growing their own plants in their houses like terrace farming. So we have decided to do a project which can be useful for everyone even the farmers can be benefitted by our project. In our project we are preparing a greenhouse for cultivating different kinds of crops. Our greenhouse consists of arduino UNO, sensors like (temperature sensor, soil moisture sensor, colour sensor and light sensor), actuators. All these are used in sensing the outside environment and giving signals to arduino so that it sends the signal through GSM module and this GSM module will give us a message alert through our mobile phones like for example if the moisture is less in soil then we will get alert “your moisture has decreased water the plants” so that we can turn on our motor pumps to water. Here we are using thingspeak cloud for coding the arduino through IOT. Our project will also do its watering by itself when the moisture level decreases, this is done by soil moisture sensor. It is very reasonable and complete greenhouse can be constructed under Rs.10,000 which can save lots of money for the farmers. The crop yield will also be very good and this will be useful in increasing the economy of farming.

scholarly journals Domain adaptation based deep calibration of low-cost PM2.5 sensors

2021 ◽  
Author(s):  
Sonu Kumar Jha ◽  
Mohit Kumar ◽  
Vipul Arora ◽  
Sachchida Nand Tripathi ◽  
Vidyanand Motiram Motghare ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Domain Adaptation ◽  
Low Cost ◽  
Monitoring Network ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Proposed Model ◽  
Temperature And Humidity ◽  
Calibration Approach

<div>Air pollution is a severe problem growing over time. A dense air-quality monitoring network is needed to update the people regarding the air pollution status in cities. A low-cost sensor device (LCSD) based dense air-quality monitoring network is more viable than continuous ambient air quality monitoring stations (CAAQMS). An in-field calibration approach is needed to improve agreements of the LCSDs to CAAQMS. The present work aims to propose a calibration method for PM2.5 using domain adaptation technique to reduce the collocation duration of LCSDs and CAAQMS. A novel calibration approach is proposed in this work for the measured PM2.5 levels of LCSDs. The dataset used for the experimentation consists of PM2.5 values and other parameters (PM10, temperature, and humidity) at hourly duration over a period of three months data. We propose new features, by combining PM2.5, PM10, temperature, and humidity, that significantly improved the performance of calibration. Further, the calibration model is adapted to the target location for a new LCSD with a collocation time of two days. The proposed model shows high correlation coefficient values (R2) and significantly low mean absolute percentage error (MAPE) than that of other baseline models. Thus, the proposed model helps in reducing the collocation time while maintaining high calibration performance.</div>

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