scholarly journals Eksplorasi Jenis Bambu di Kecamatan Rawas Ulu Kabupaten Muratara

2019 ◽  
Vol 2 (1) ◽  
pp. 13-25
Author(s):  
Reny Dwi Riastuti ◽  
Yuli Febrianti ◽  
Trisnawati Panjaitan
Keyword(s):  
Soil Moisture ◽  
Data Collection ◽  
Air Temperature ◽  
Soil Ph ◽  
Ornamental Plants ◽  
Construction Materials ◽  
Ecological Factors ◽  
Sample Analysis ◽  
Bambusa Vulgaris ◽  
Research Procedure

This study aims: (1). To eksploration the type of Bamboo (Bambusa sp) in Rawas Ulu District, Muratara Regency. Data collection techniques in this study are as follows: (a). eksploration (b) Interview (c). Documentation; The research procedure is observation, location research, sample analysis, sample identification, sample description, ecological factors, bamboo benefits; (1). The results of identification there are 4 genera consisting of (Gigantochloa, Bambusa, Densrocalamus, and Schizoctachyum). There are 6 species consisting of (Gigantochloa apus, Gigantochloa pseudoarundin, Bambusa vulgaris, Bambusa glaucescens, Schizoctachyum blumei, Densrocalamus asper); (2). The ecological factors of bamboo are soil pH of 4.9-7.0 and air temperature of 25-30oC with soil moisture of 51-71%; (3). Bamboo can be used as light construction materials such as livestock pens, fences, ornamental plants, household handi crafts and woven industries. The conclusion of this study is that there are 4 genera and 6 types of bamboo that live differently. Keywords: eksploration, bambu

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 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.

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 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 A Mathematical Model to Estimate Soil Parameters using Wireless Sensor: An Efficient Way of Data Collection in Precision Agriculture

2019 ◽  
Vol 9 (2) ◽  
pp. 363-372
Keyword(s):  
Mathematical Model ◽  
Soil Moisture ◽  
Data Collection ◽  
Soil Ph ◽  
Precision Agriculture ◽  
Agricultural Productivity ◽  
Ground Truth ◽  
Wireless Sensor ◽  
Real Field ◽  
Soil Parameters

Environmental and field parameters have high impact on agricultural productivity. The environmental parameters include temperature, humidity, rainfall and wind direction etc. whereas field parameters include salinity, nutrient content, oxygen levels, soil type, soil PH and soil moisture etc. Among them, Soil pH and moisture are highly correlated which can affect soil salinity, nutrient level and soil conductivity. So, these two parameters need to be measure precisely to take management decisions. Till now the process which is applied to measure soil parameters are entirely depends on laboratory testing of soil sample. This process has some overhead like availability of laboratory, manpower and cost. To overcome these challenges, we developed a virgin sensor based automated data collection technique which maintains the agricultural productivity with sustainable development. But practically sensor-based data retain some error which defers from laboratory result. In this paper, we have developed a new efficient technique to reduce the error in calculating pH value using sensors. In this research work, ten different types of soils are tested in laboratory to get the actual (pH level in soil. These values are considered as the ground truth for the experiment. The pH values of all the ten types of soil are collected from the field using wireless sensor. Our proposed mathematical model reduces the error to 0.01 between collected values and ground truth values with back propagation method based on soil moisture, environmental temperature and humidity. Here, the proposed model is empirically tested by taking some real field data values.

scholarly journals Microhabitat Associations for the Threatened Cheat Mountain Salamander in Relation to Early-stage Red Spruce Restoration Areas

2022 ◽  
Author(s):  
Donald J Brown ◽  
Lacy E. Rucker ◽  
Catherine Johnson ◽  
Shane Jones ◽  
Thomas K. Pauley
Keyword(s):  
Soil Moisture ◽  
Air Temperature ◽  
Soil Ph ◽  
Early Stage ◽  
Canopy Cover ◽  
Ground Level ◽  
Red Spruce ◽  
High Soil Moisture ◽  
Central Appalachia

The Central Appalachian Spruce Restoration Initiative was formed to promote restoration of red spruce Picea rubens forests in Central Appalachia. One goal of the initiative is to increase availability and enhance quality of habitat for wildlife, including the threatened Cheat Mountain salamander Plethodon nettingi. The purpose of this research was to compare microhabitat characteristics between an occupied Cheat Mountain salamander site and early-stage spruce restoration sites, and between four occupied sites and proximal non-detection sites. We found that soil pH was higher and soil moisture was lower at spruce restoration sites compared to the occupied site, and that light intensity, sub-canopy air temperature, and ground-level air temperature were higher in spruce restoration prescriptions with reduced canopy cover. We found that soil moisture was higher at occupied sites compared to proximal non-detection sites, but soil pH was not significantly different. Our study suggests that Cheat Mountain salamanders are associated with low soil pH and high soil moisture, and thus spruce restoration could enhance habitat quality for this species in the long-term.

LIME AND DAIRY PRODUCTION

1982 ◽  
pp. 93-103
Author(s):  
N.A. Thomson
Keyword(s):  
Soil Moisture ◽  
Dairy Cows ◽  
Milk Production ◽  
Soil Ph ◽  
Dairy Production ◽  
Pasture Production ◽  
The Third ◽  
One Year ◽  
Plasma Magnesium

In a four year grazing trial with dairy cows the application of 5000 kg lime/ ha (applied in two applications of 2500 kg/ha in winter of the first two years) significantly increased annual pasture production in two of the four years and dairy production in one year. In three of the four years lime significantly increased pasture growth over summer/autumn with concurrent increases in milk production. In the last year of the trial lime had little effect on pasture growth but a relatively large increase in milkfat production resulted. A higher incidence of grass staggers was recorded on the limed farmlets in spring for each of the four years. In the second spring immediately following the second application of lime significant depressions in both pasture and plasma magnesium levels were recorded. By the third spring differences in plasma magnesium levels were negligible but small depressions in herbage magnesium resulting from lime continued to the end of the trial. Lime significantly raised soil pH, Ca and Mg levels but had no effect on either soil K or P. As pH levels of the unlimed paddocks were low (5.2-5.4) in each autumn and soil moisture levels were increased by liming, these factors may suggest possible causes for the seasonality of the pasture response to lime

scholarly journals Evaluation and Comparison of Noah and Pleim–Xiu Land Surface Models in MM5 Using GÖTE2001 Data: Spatial and Temporal Variations in Near-Surface Air Temperature

2007 ◽  
Vol 46 (10) ◽  
pp. 1587-1605 ◽  
Author(s):  
J-F. Miao ◽  
D. Chen ◽  
K. Borne
Keyword(s):  
Soil Moisture ◽  
Air Temperature ◽  
Land Surface ◽  
Model Performance ◽  
Surface Air Temperature ◽  
Near Surface ◽  
Surface Models ◽  
Urban Heat ◽  
Soil Moisture Initialization ◽  
Evident Difference

Abstract In this study, the performance of two advanced land surface models (LSMs; Noah LSM and Pleim–Xiu LSM) coupled with the fifth-generation Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model (MM5), version 3.7.2, in simulating the near-surface air temperature in the greater Göteborg area in Sweden is evaluated and compared using the GÖTE2001 field campaign data. Further, the effects of different planetary boundary layer schemes [Eta and Medium-Range Forecast (MRF) PBLs] for Noah LSM and soil moisture initialization approaches for Pleim–Xiu LSM are investigated. The investigation focuses on the evaluation and comparison of diurnal cycle intensity and maximum and minimum temperatures, as well as the urban heat island during the daytime and nighttime under the clear-sky and cloudy/rainy weather conditions for different experimental schemes. The results indicate that 1) there is an evident difference between Noah LSM and Pleim–Xiu LSM in simulating the near-surface air temperature, especially in the modeled urban heat island; 2) there is no evident difference in the model performance between the Eta PBL and MRF PBL coupled with the Noah LSM; and 3) soil moisture initialization is of crucial importance for model performance in the Pleim–Xiu LSM. In addition, owing to the recent release of MM5, version 3.7.3, some experiments done with version 3.7.2 were repeated to reveal the effects of the modifications in the Noah LSM and Pleim–Xiu LSM. The modification to longwave radiation parameterizations in Noah LSM significantly improves model performance while the adjustment of emissivity, one of the vegetation properties, affects Pleim–Xiu LSM performance to a larger extent. The study suggests that improvements both in Noah LSM physics and in Pleim–Xiu LSM initialization of soil moisture and parameterization of vegetation properties are important.

scholarly journals Influence of pH and Matric Potential on Germination of Cephalosporium gramineum Conidia

Plant Disease ◽  
1998 ◽  
Vol 82 (9) ◽  
pp. 975-978 ◽  
Author(s):  
Cynthia A. Blank ◽  
Timothy D. Murray
Keyword(s):  
Soil Moisture ◽  
Soil Ph ◽  
Significant Influence ◽  
Phosphate Buffer ◽  
Mineral Salts ◽  
Matric Potential ◽  
High Soil Moisture ◽  
Soil Fungistasis ◽  
Cephalosporium Gramineum ◽  
Influence Of Ph

Germination of Cephalosporium gramineum conidia in soil was up to twofold greater at -0.064 MPa than at -0.037 and -0.007 MPa when incubated at 5°C for 2 days. Soil pH from 4.7 to 7.5 did not have a significant influence on germination of conidia and the interaction between soil pH and matric potential on germination was not significant. Soil fungistasis, which was previously observed for conidia of C. gramineum, was not observed in these studies. Germination of conidia on mineral salts agar containing phosphate buffer was significantly less at pH 4.5 than at 5.5, 6.5, or 7.5 at 5°C in one of two experiments; however, pH had no influence on germination at 10 or 20°C in two experiments. Although Cephalosporium stripe is more severe under conditions of high soil moisture and low soil pH, increased germination of conidia in response to these factors does not explain the observed increase in disease.

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