<i>Simulating alfalfa forage yields under full and deficit irrigation using the FARMs Web app in California</i>

2021 ◽  
Author(s):  
Isaya Kisekka ◽  
Umair Gull ◽  
Daniel H Putnam
Keyword(s):  
Deficit Irrigation ◽  
Web App ◽  
Forage Yields

SISTEM MONITORING EVALUASI DAN PELAPORAN KEGIATAN TARUNA ATKP MEDAN

2020 ◽  
Vol 4 (2) ◽  
pp. 82
Author(s):  
Albert Panjaitan ◽  
Hairul Amren ◽  
Darmeli Nasution ◽  
Rizaldy Khair ◽  
Iswandi Idris
Keyword(s):  
Short Message Service ◽  
Short Message ◽  
Message Service ◽  
Web App

Perkembangan yang sangat pesat terjadi pada bidang teknologi informasi dan telekomunikasi saat ini mendorong masyarakta dunia memasuki era revolusi industri 4.0 yang serba cepat, sekaligus menjadikan informasi sentral dalam dunia industri maupun dunia usaha hingga dunia pendidikan. Akademi Teknik dan Keselamatan Penerbangan (ATKP) Medan merupakan institusi pendidikan di bawah naungan pemerintah yang sudah mulai menggunakan berbagai hal teknologi informasi dan telekomunikasi. Dengan adanya perkembangan tersebut berdampak memeberikan fasilitas yang dapat digunakan oleh pengguna layanan komunikasi, dan informasi, seperti Short Message Service (SMS) hingga sistem berbasis aplikasi menggunakan smartphone android maupun iOS. Layanan aplikasi sms hingga sistem aplikasi tersebut adalah teknologi yang memungkinkan manusia untuk mendapatkan atau mengirimkankan informasi kapanpun dan dimanapun dibutuhkan. Penelitian ini bertujuan untuk membuat sistem aplikasi monitoring evaluasi pelaporan kegiatan taruna di ATKP medan berbasis web app. Dalam pembuatannya, aplikasi ini disesuaikan dengan kenutuhan user/orang tua taruna dan institusi ATKP secara umum. Sistem aplikasi ini akan memberikan kemudahan kepada orang tua taruna dalam memonitoring, kegiatan hingga prilaku taruna selama pendidikan di ATKP Medan serta  kemudahan mengakses nilai dengan cepat. Sistem aplikasi ini dibuat dengan menggunakan bahasa pemrograman php (web).

Farmers' willingness to adopt irrigation for quinoa in communities of the Central Altiplano of Bolivia

2011 ◽  
pp. 7-28 ◽  
Author(s):  
Cristal Taboada ◽  
Armando Mamani ◽  
Dirk Raes ◽  
Erik Mathijs ◽  
Magalí García ◽  
...  
Keyword(s):  
Deficit Irrigation ◽  
New Technology ◽  
Farming Systems ◽  
Average Yield ◽  
Abiotic Conditions ◽  
Surplus Production ◽  
Irrigation Technology ◽  
Willingness To Adopt ◽  
Bolivian Altiplano ◽  
Main Factors

Quinoa is considered a strategic crop because it is well adapted to the adverse abiotic conditions of the Bolivian Altiplano; however, the average yield is low. Previous studies have demonstrated that quinoa yield would increase with deficit irrigation technology. Nevertheless, to irrigate quinoa is not a normal practice in the farming systems of the Altiplano. This paper examines the main factors that determine the attitude of farmers towards adopting deficit irrigation using a sample of 137 surveys in seven communities of the Central Altiplano. Statistic analysis demonstrates that the most important factors influencing farmers' willingness for irrigation adoption are the acreage planted with quinoa, quantity of surplus production for trading, and having irrigation experience. Also, the age and education level were important to know willingness to adopt a new technology. Therefore, deficit irrigation is more likely to be performed in area where farmers own larger fields and where there is already certain type of irrigation.

EFFECT OF DEFICIT IRRIGATION ON THE PRODUCTIVITY AND CHARACTERISTICS OF TOMATO

2013 ◽  
Vol 30 (2) ◽  
pp. 403-424
Author(s):  
Ahmed. M. Hassan ◽  
Mohamed E. Abuarab
Keyword(s):  
Deficit Irrigation

scholarly journals Adventure Code Camp: Library Mobile Design in the Backcountry

2014 ◽  
Vol 33 (3) ◽  
pp. 45 ◽  
Author(s):  
David Ward ◽  
James Hahn ◽  
Lori Mestre
Keyword(s):  
Mobile Devices ◽  
Design Process ◽  
Mobile Apps ◽  
Library Services ◽  
Mobile Web ◽  
Process Outcomes ◽  
Mobile Design ◽  
Web App ◽  
Software Services

<p>This article presents a case study exploring the use of a student Coding Camp as a bottom-up mobile design process to generate library mobile apps. A code camp sources student programmer talent and ideas for designing software services and features.  This case study reviews process, outcomes, and next steps in mobile web app coding camps. It concludes by offering implications for services design beyond the local camp presented in this study. By understanding how patrons expect to integrate library services and resources into their use of mobile devices, librarians can better design the user experience for this environment.</p>

Effects of Weed Control in Established Alfalfa (Medicago sativa) on Forage Yield and Quality

Weed Science ◽  
1987 ◽  
Vol 35 (4) ◽  
pp. 564-567 ◽  
Author(s):  
Dennis R. Cosgrove ◽  
Michael Barrett
Keyword(s):  
Medicago Sativa ◽  
Weed Control ◽  
Stand Density ◽  
Forage Yield ◽  
Control Measures ◽  
Acid Detergent Fiber ◽  
Yield And Quality ◽  
Herbicide Treatments ◽  
Forage Yields

The effects of weed control measures in established alfalfa (Medicago sativaL.) on forage yield and quality were investigated at three sites with varying alfalfa densities and weed populations. Herbicide treatments were 0.56 and 1.12 kg/ha metribuzin [4-amino-6-(1,1-dimethylethyl)-3-(methylthio)-1,2,4-triazin-5(4H)-one] applied in fall or spring, respectively, 1.68 kg/ha pronamide [3,5-dichloro (N-1,1-dimethyl-2-propynyl)benzamide] applied in fall, and combinations of these treatments. First-harvest forage yields (weeds plus alfalfa) were either reduced or unchanged by herbicide treatments. Total forage yield was not altered by the herbicide treatments, but first-harvest and total alfalfa yield as well as first-harvest forage protein content were increased by several treatments, depending on stand density and weed pressure. Little effect was observed on in vitro digestible dry matter or acid detergent fiber content.

Usability Testing of VLASTWA: A Vocabulary and Strategy Teaching Web App

2020 ◽  
Author(s):  
Siamak Mirzaei ◽  
Trent Lewis ◽  
Mirella Wyra ◽  
Brett Wilkinson
Keyword(s):  
Usability Testing ◽  
Web App

A New Analysis Tool for Continuous Glucose Monitor Data

2021 ◽  
pp. 193229682110289
Author(s):  
Evan Olawsky ◽  
Yuan Zhang ◽  
Lynn E Eberly ◽  
Erika S Helgeson ◽  
Lisa S Chow
Keyword(s):  
Glucose Monitoring ◽  
Glycemic Variability ◽  
R Package ◽  
Analysis Tool ◽  
Continuous Glucose Monitor ◽  
Analysis Tools ◽  
R Shiny ◽  
Primary Driver ◽  
Rich Information ◽  
Web App

Background: With the development of continuous glucose monitoring systems (CGMS), detailed glycemic data are now available for analysis. Yet analysis of this data-rich information can be formidable. The power of CGMS-derived data lies in its characterization of glycemic variability. In contrast, many standard glycemic measures like hemoglobin A1c (HbA1c) and self-monitored blood glucose inadequately describe glycemic variability and run the risk of bias toward overreporting hyperglycemia. Methods that adjust for this bias are often overlooked in clinical research due to difficulty of computation and lack of accessible analysis tools. Methods: In response, we have developed a new R package rGV, which calculates a suite of 16 glycemic variability metrics when provided a single individual’s CGM data. rGV is versatile and robust; it is capable of handling data of many formats from many sensor types. We also created a companion R Shiny web app that provides these glycemic variability analysis tools without prior knowledge of R coding. We analyzed the statistical reliability of all the glycemic variability metrics included in rGV and illustrate the clinical utility of rGV by analyzing CGM data from three studies. Results: In subjects without diabetes, greater glycemic variability was associated with higher HbA1c values. In patients with type 2 diabetes mellitus (T2DM), we found that high glucose is the primary driver of glycemic variability. In patients with type 1 diabetes (T1DM), we found that naltrexone use may potentially reduce glycemic variability. Conclusions: We present a new R package and accompanying web app to facilitate quick and easy computation of a suite of glycemic variability metrics.

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