scholarly journals Raspberry Pi for Autonomous Home Farm Control

2021 ◽  
Author(s):  
Ildar Rakhmatulin
Keyword(s):  
Neural Network ◽  
Soil Moisture ◽  
Air Temperature ◽  
Soil Ph ◽  
Weather Conditions ◽  
Co2 Concentration ◽  
Raspberry Pi ◽  
Air Humidity ◽  
Optimal Temperature ◽  
Earth Temperature

This manuscript presented an autonomous home farm for predicting metrological characteristics that can not only automate the process of growing crops but also, due to a neural network, significantly increase the productivity of the farm. The developed farm monitors and manages the following indicators: illumination, soil PH, air temperature, earth temperature, air humidity, CO2 concentration, and soil moisture. The presented farm can also be considered as a device for testing various weather conditions to determine the optimal temperature characteristics for different crops. This farm as a result is completely autonomous grows tomatoes at home.

scholarly journals Full Season Control of Japanese Beetle Grub Control with Merit, NH, 1994

1996 ◽  
Vol 21 (1) ◽  
pp. 352-352
Author(s):  
Stanley R. Swier
Keyword(s):  
Organic Matter ◽  
Soil Moisture ◽  
Soil Organic Matter ◽  
Air Temperature ◽  
Soil Ph ◽  
Soil Texture ◽  
Clay Soil ◽  
Golf Course ◽  
Silt Loam ◽  
Japanese Beetle

Abstract The trial was conducted 10 May on a golf course rough, Amherst, NH. Plots were 10 X 10 ft, replicated 4 times, in a RCB design. Merit WP was applied in 4 gal water/1000 ft2 with a watering, can. Merit G granules were applied with a homemade salt shaker. Treatments were irrigated with 0.5 inch water after application. Plots were rated 30 Sep by counting the number of live grubs per 1 ft2. Conditions at the time of treatment were: air temperature 70°F; wind, 3 MPH; sky, clear; soil temperature, 1 inch, 60°F; thatch depth, 0.5 inch soil pH, 5.4; slope 0%; soil texture, silt loam, 47% sand, 50% silt, 3% clay; soil organic matter, 6.9%; soil moisture, 21.8%.

scholarly journals Full Season Japanese Beetle Grub Control with Merit, 1993

1994 ◽  
Vol 19 (1) ◽  
pp. 313-314
Author(s):  
Stanley R. Swier
Keyword(s):  
Organic Matter ◽  
Soil Moisture ◽  
Soil Organic Matter ◽  
Air Temperature ◽  
Soil Ph ◽  
Clay Soil ◽  
Sandy Loam ◽  
Golf Course ◽  
Japanese Beetle ◽  
Wettable Powder

Abstract Two formulations of Merit were compared for efficacy against Japanese beetle grubs on a golf course fairway in Amherst, NH. Plots were 10 × 10 ft, replicated 4 times in an RCB design. Treatments were applied 26 Apr and rated 24 Sep. The granular formulation was applied with a homemade salt shaker. The wettable powder was applied in a watering can at a volume of 5 gal water/1000 ft2. After application, plots were irrigated with 0.5 inches water. Plots were rated by counting the number of live grubs in a 3 ft2 sample. Conditions at the time of treatment were: air temperature, 53.3°F; soil temperature, 2 inches, 50.8°F; thatch depth, 0.5 inch; soil pH, 5.8; slope, 1%; soil texture, sandy loam, 53% sand, 43% silt, 4% clay; soil organic matter, 6.5% soil moisture, 19.4%.

scholarly journals KEANEKARAGAMAN ACARINA DI PUSAT INOVASI AGRO TEKNOLOGI MANGUNAN

2020 ◽  
Vol 25 (1) ◽  
pp. 62-71
Author(s):  
Soenarwan Hery Poerwanto ◽  
Anggun Handiani ◽  
Dila Hening Windyaraini
Keyword(s):  
Soil Moisture ◽  
Environmental Factors ◽  
Air Temperature ◽  
Technology Innovation ◽  
Diversity Index ◽  
Air Humidity ◽  
Annona Squamosa ◽  
Wiener Diversity Index ◽  
Sample Extraction ◽  
Sampling Points

Penelitian ini dilakukan untuk mengetahui keanekaragaman Acarina dan faktor lingkungan yang mempengaruhi keberadaan Acarina di Pusat Inovasi Agro Teknologi (PIAT) Mangunan, Yogyakarta. Penelitian ini dilakukan di PIAT Mangunan untuk pengambilan sampel dan Laboratorium Sistematika Hewan bagian Parasitologi Fakultas Biologi UGM untuk preparasi dan identifikasi. Metode yang digunakan adalah ekstraksi sampel menggunakan corong Barlese Tullgren dengan beberapa modifikasi. Sampel diambil pada 3 area vegetasi (sirsak, srikaya, dan sawo) dan setiap area diambil lima titik sampling. Pengukuran lingkungan meliputi kelembaban udara dan suhu udara diukur dengan alat higrometer, pH, dan suhu tanah dengan soil tester digital, serta kelembaban tanah dengan soil tester Takemura DM-5. Acarina yang diperoleh dilihat di bawah mikroskop dan di-mounting dengan larutan hoyer’s. Identifikasi Acarina menggunakan buku identifikasi A Manual of Acarology. Data yang diperoleh dari penelitian dianalisis menggunakan indeks keanekaragaman Shannon-Wiener. Berdasarkan identifikasi Acarina yang telah dilakukan, didapatkan 20 Family dan 28 Genus dan 399 cacah individu. Tingkat keanekaragaman Acarina termasuk dalam kategori sedang. Faktor lingkungan yang mempengaruhi kehadiran Acarina adalah suhu dan kelembaban.THE DIVERSITY OF ACARINA IN AGRO TECHNOLOGY INNOVATION CENTER MANGUNANThis study was aimed at determining the diversity of Acarina and environmental factors that affect the existence Acarina at Agro Technology Innovation Center (ATIC) Mangunan, Yogyakarta. This study was conducting at ATIC Mangunan for sampling and the Animal Systematics Laboratory of the Parasitology, Faculty of Biology, Gajah Mada University for preparation and identification. The method used was sample extraction using Barlese Tullgren funnel with several modifications. Samples were taken at 3 vegetation areas (soursop, sarikaya a.k.a Annona squamosa, and sapodilla) and each area was taken five sampling points. The environmental measurements include air humidity and air temperature measured by means of a hygrometer, pH and soil temperature with digital soil tester, and soil moisture with a soil tester Takemura DM-5. Acarina obtained was seen under a microscope and mounted with Hoyer’s solution. The identification of Acarina using identification book A Manual of Acarology. The data obtained from the study were analyzed using the Shannon-Wiener diversity index. Based on Acarina’s identification, 20 families and 28 genera and 399 individual numbers were obtained. The level of diversity of Acarina is categorized as the medium category. The environmental factors that influence the presence of Acarina are temperature and humidity. 

Monitoring System for Plant Growth Environment Based on Zigbee/RS485

2014 ◽  
Vol 511-512 ◽  
pp. 381-384
Author(s):  
Qian Hu Xiao ◽  
Shao Jie Weng ◽  
Wen Qing Zhang
Keyword(s):  
Carbon Dioxide ◽  
Soil Moisture ◽  
Plant Growth ◽  
Monitoring System ◽  
Air Temperature ◽  
Transmission Loss ◽  
Remote Access ◽  
Air Humidity ◽  
Growth Environment ◽  
Transmission Distance

After studying the research status of monitoring system for plant growth information, a system is developed with Kingview, VB and C to monitor soil temperature, soil moisture, air temperature, air humidity, Illumination and carbon dioxide. The system realizes real time monitoring, remote access, trend analysis and many other functions. Transmission distance is estimated by channel transmission loss model. Theoretical transmission distances are 1691.99m outdoor and 480.84m indoor. The real transmission distance is measured in the production base. The experimental communication distances are 1680m and 1520m in sunny and rainy day.

Curative Black Cutworm Control With Merit and Fcr 4S4S, 1995

1996 ◽  
Vol 21 (1) ◽  
pp. 327-327
Author(s):  
Stanley R. Swier ◽  
Alan Rollins
Keyword(s):  
Organic Matter ◽  
Soil Moisture ◽  
Soil Organic Matter ◽  
Air Temperature ◽  
Soil Ph ◽  
Soil Texture ◽  
Fourth Instar ◽  
Silt Loam ◽  
Black Cutworm ◽  
Country Club

Abstract Three treatments were applied to third and fourth instar BCW larvae at Amherst Country Club. Plots were 7 X 7 ft, replicated 4 times, in a RCB design. Treatments were applied 7 Sep and rated 14 Sep (7 DAT). Treatments were applied with a CO2 boom sprayer, 8004 nozzles, at 40 PSI, in 2 gal water per 10002. Plots were rated using a soap flush and counting the number of emerging larvae. Conditions at the time of treatment were: air temperature, 84.3°F; wind, calm; sky, cloudy; soil temperature, 77.3°F; thatch depth, 0.25 inch; soil pH, 5.7; slope, 0%; soil texture, silt loam: sand 40%, silt 59%, clay 1%; soil organic matter, 3.7%; soil moisture, 22.6%; post treatment precipitation, 0.1 inch daily; mowing height, 0.187 inch.

scholarly journals Applying fuzzy proportional integral derivative on Internet of things for figs greenhouse

2021 ◽  
Vol 10 (3) ◽  
pp. 536
Author(s):  
Andi Riansyah ◽  
Sri Mulyono ◽  
M. Roichani
Keyword(s):  
Soil Moisture ◽  
Internet Of Things ◽  
Air Temperature ◽  
Soil Conditions ◽  
Ideal Condition ◽  
Proportional Integral Derivative ◽  
Air Humidity ◽  
Proportional Integral ◽  
The Internet Of Things ◽  
The Ideal

Indonesia is an agrarian country where most of population work as farmers. Various planting media have been developed in Indonesia such as using greenhouses. Greenhouse is one of very promising planting media for plant cultivators, because it can be a solution to challenges of extreme climate change. In a greenhouse, the state of the room can be easily controlled using technologies such as automatic watering systems, air temperature control, air humidity and soil moisture. This research focuses on figs by applying fuzzy proportional integral derivative (FPID) as artificial intelligence on the Internet of things (IoT) for greenhouses. It uses Tsukamoto method serves to monitor air conditions and soil conditions and then it is coupled with proportional integral derivative (PID) control to control air temperature, air humidity, and soil moisture so that it is always in the ideal condition of figs in greenhouse. By implementing FPID on IoT for greenhouse, the development of figs in greenhouse can be optimized because air and soil conditions can be maintained in ideal conditions.

scholarly journals Sistem Pakar Diagnosis Potensi Penyebaran Penyakit pada Tanaman Cabai Menggunakan Fuzzy Mamdani

2018 ◽  
Vol 6 (2) ◽  
pp. 71-75
Author(s):  
Deni Setiyo Wibowo ◽  
Yessy Yanitasari ◽  
Dedih Dedih
Keyword(s):  
Expert System ◽  
Environmental Factors ◽  
Air Temperature ◽  
Soil Ph ◽  
Environmental Variables ◽  
Solar Irradiation ◽  
Disease Spread ◽  
Air Humidity ◽  
Input Output ◽  
Fuzzy Input

This research developed expert system using fuzzy Mamdani to diagnose the spread of diseases affecting the growth of chili plants based on environmental factors. Environmental variables used as fuzzy input parameters are soil pH, air temperature, air humidity and solar irradiation. The input-output relationship uses 81 rules with the AND operator and the MIN implication function. For a case, the results showed that the percentage of the potential spread of the disease showed 60.25%, so the category of potential disease spread with soil PH 7.5 pH, 28 ° C air temperature and air humidity 75 RH and 35% sun irradiance is moderate.

scholarly journals Aplikasi Android untuk Monitoring Lahan Pertanian secara Realtime Berbasis Internet of Things

2020 ◽  
Vol 6 (3) ◽  
Author(s):  
Jihot Lumban Gaol ◽  
Hindriyanto Purnomo ◽  
Budhi Kristianto ◽  
Radius Tanone ◽  
Yos Richard Beeh ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Internet Of Things ◽  
Light Intensity ◽  
Air Temperature ◽  
Soil Ph ◽  
Mobile Application ◽  
Agricultural Land ◽  
The Internet ◽  
Development Method ◽  
Graphical Data

The development of technology is very helpful in agriculture by using the internet to get the information we need. The problem that farmers think of is that they cannot easily and quickly get information in the form of light intensity, precipitation, soil pH, soil moisture, soil temperature, humidity and air temperature. When farmers get the information they need from agricultural land, they usually get information through the internet so they are considered less efficient as it is quite time consuming. To solve this problem, a system is designed using the research and development method (RnD). A new Android-based application that can display data in text and graphics that are more easily accessible to farmers. This study creates an Android-based mobile application based on tests using the Android interface to display information about agricultural land conditions and display graphical data that is updated every 5 minutes.   Keywords— Land monitoring, Agriculture, IoT, Android Mobile Application

scholarly journals DO WEATHER CONDITIONS INFLUENCE COVID-19 EPIDEMIC PROCESS?

InterConf ◽  
2021 ◽  
pp. 455-461
Author(s):  
Nataliiа Halushko ◽  
Ogunsanya Ifeoluwa
Keyword(s):  
Air Temperature ◽  
Atmospheric Pressure ◽  
Meteorological Factors ◽  
Absolute Humidity ◽  
Weather Conditions ◽  
Air Humidity ◽  
Epidemic Process ◽  
Factors Influencing ◽  
Relative Air Humidity ◽  
North Eastern

We studied the influence of weather conditions (air temperature, absolute and relative air humidity, atmospheric pressure, wind speed and geomagnetic activity) on the epidemic process of COVID-19 in Sumy that is a city in north-eastern Ukraine for the period 4.05.2020-22.03.2021. The study was carried out using nonparametric Kruskal-Wallis dispersive analysis. The obtained results show that all meteorological factors affect the COVID-19 incidence rate. The air temperature, absolute humidity and atmospheric pressure are the most important meteorological factors influencing COVID-19 epidemic process

scholarly journals PENERAPAN SISTEM MONITORING DAN KENDALI PINTAR UNTUK TANAMAN TERUNG BERBASIS INTERNET OF THINGS DENGAN METODE PENYIRAMAN IRIGASI TETES

2021 ◽  
Vol 4 (2) ◽  
pp. 204-212
Author(s):  
Edi Anugrah ◽  
Muhammad Hasbi ◽  
Musfirah Putri Lukman
Keyword(s):  
Soil Moisture ◽  
Internet Of Things ◽  
Air Temperature ◽  
Drip Irrigation ◽  
Solanum Melongena ◽  
Soil Conditions ◽  
Monitoring And Control ◽  
Air Humidity ◽  
Monitoring And Control System ◽  
And Control

Eggplant (Solanum melongena L.) is one of the horticultural crop products and vegetable crop commodities. Growth and quality are influenced by soil conditions, climate, and plant properties. The main source of agriculture is water and soil nutrients. This research applies a smart monitoring and control system for eggplant based on internet of things with the drip irrigation method. This system uses a NodeMCU V3 microcontroller as a controller for the aquatic and water pump. Besides using the Soil Moisture FC-28 sensor to measure soil moisture as an alternative to detect water availability in plants. DHT11 sensors are also given to monitor the temperature and humidity of the air around the plant. In the system there is a monitoring feature that can monitor air humidity, air temperature and soil moisture data. The system can automatically drip irrigation through the relay module when the soil moisture is below 50% and stop the watering process when it reaches 60% humidity. The sensor detection results can be monitored in the Blynk application and monitoring data, in the form of soil moisture, air temperature and air humidity, are saved to the database and can be downloaded in the format (.csv).

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