scholarly journals Eric John Underwood, 7 September 1905 - 19 August 1980

1981 ◽  
Vol 27 ◽  
pp. 578-602 ◽  
Keyword(s):  
Apple Orchard ◽  
Domestic Servant ◽  
Paternal Grandfather ◽  
Brothers And Sisters

Eric John Underwood was born in London on 7 September 1905, the youngest of the three children of James Underwood and his wife, Elizabeth ( née Lowe) who was the daughter of a Baptist minister. Eric’s great grandfather on his father’s side was a farm labourer, and his great grandmother a domestic servant while his paternal grandfather was a gardener on an estate in Middlesex. Eric’s father, James, was apprenticed to the trade of saddlery and practised as a master saddler in London. In 1906, when Eric was but a year old, his mother died and six months later his father left all three children in the care of his brothers and sisters in London and emigrated to Australia. His intention was to become a farmer and create a home for his children so that they could join him at the first opportunity. James’s first step was to take over a small saddler’s shop and apple orchard at Mount Barker, some 220 miles south of Perth. A long correspondence then ensued with an old friend, Katie Louise Taseman, about the possibility of her joining him. Eventually Katie emigrated to Australia in 1913 bringing with her James’s three children, Gilbert aged 11, Marjorie aged 9 and Eric aged 8. When Katie arrived in Fremantle she and James were married immediately, the ceremony taking place on the lawn in the front of the registry office.

Urgensi Ilmu Kedokteran Islam dengan Hukum Islam (Studi Identifikasi Deoxrybo Nucleic Acid (DNA) terhadap Sepersusuan)

2018 ◽  
Vol 12 (1) ◽  
pp. 133-146
Author(s):  
Li’izza Diana Manzil
Keyword(s):  
Nucleic Acid ◽  
Breast Milk ◽  
Legal Status ◽  
Islamic Law ◽  
Medical Science ◽  
Dna Identification ◽  
Islamic Medicine ◽  
Parents And Children ◽  
The Status ◽  
Brothers And Sisters

One sign of the rapidly growing world of medical science is its success in making one discovery about Deoxrybo Nucleid Acid (DNA). Islam does not prohibit the practice of DNA identification because it can be used in determining the legal status of relative relationships and related marital prohibitions among families because of the similarity of DNA genes between parents and their children. In Islam marriage prohibition can also occur between brothers and sisters. DNA identification can be done between siblings as a result of the presence of gene elements in breast milk. In addition, breast milk can also develop bone and grow meat if breastfeeding at least five times suction. But the results of DNA tests conducted between siblings cannot be more accurate if done to find relationships of parents and children. From this it clearly proves that Islamic medicine has an urgent value to Islamic law. This can be seen from one of its axiology in determining the status of brotherhood.

OrchardSim: An Apple Orchard Design Simulation Using a Multimedia Interactive Computer Program

1995 ◽  
Vol 5 (4) ◽  
pp. 332-338
Author(s):  
Schuyler S. Korban ◽  
Cynthia A. St. Ores
Keyword(s):  
Learning Process ◽  
Active Role ◽  
Apple Orchard ◽  
Financial Loss ◽  
Immediate Feedback ◽  
Interactive Computer Program ◽  
Full Color ◽  
Specific Choice ◽  
Computer Simulation Program ◽  
Selection For

“OrchardSim: Design of an Apple Orchard” is a computer simulation program that was developed as a tool for students and new apple growers to understand the process involved in designing an efficient apple orchard. This program was developed on Toolbook software. It explores key elements involved in designing an apple orchard. Users are introduced to these elements and then asked to make selections for each of the following parameters: soil type, cultivar, rootstock, and management system. The goal of the program is to find compatible selections that will result in an appropriate design of a 1-acre orchard. This full-color program uses text, graphics animation, and still pictures to provide the following: introductory and review information about each parameter, opportunities for the user to make a selection for each parameter, and a check for choices made to determine compatibility. Users receive feedback for each specific choice made for each of the parameters throughout the program. This simulation presents an alternative instructional tool, whereby the user plays an active role in the learning process by practicing and reviewing information at one's own pace. OrchardSim provides users with immediate feedback and an excellent opportunity for making high-risk decisions, with no financial loss that otherwise would have been costly if the learning process were pursued in the real orchard.

scholarly journals Hyper-spectral estimation of soil organic matter in apple orchard based on CWT

2021 ◽  
Vol 734 (1) ◽  
pp. 012030
Author(s):  
Ruiyan Li ◽  
Mingxiu Gao ◽  
Zexin XU ◽  
Jiafan Wang ◽  
Xiaoxin Xie
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Spectral Estimation ◽  
Apple Orchard ◽  
Hyper Spectral

scholarly journals UAV-Based Heating Requirement Determination for Frost Management in Apple Orchard

2021 ◽  
Vol 13 (2) ◽  
pp. 273
Author(s):  
Wenan Yuan ◽  
Daeun Choi
Keyword(s):  
Apple Orchard ◽  
Growth Stages ◽  
Flower Bud ◽  
Critical Temperatures ◽  
Mapping Algorithm ◽  
Aerial Vehicle ◽  
Bud Growth ◽  
Frost Protection ◽  
Map Resolution ◽  
Temperature Maps

Frost is a natural disaster that can cause catastrophic damages in agriculture, while traditional temperature monitoring in orchards has disadvantages such as being imprecise and laborious, which can lead to inadequate or wasteful frost protection treatments. In this article, we presented a heating requirement assessment methodology for frost protection in an apple orchard utilizing unmanned aerial vehicle (UAV)-based thermal and RGB cameras. A thermal image stitching algorithm using the BRISK feature was developed for creating georeferenced orchard temperature maps, which attained a sub-centimeter map resolution and a stitching speed of 100 thermal images within 30 s. YOLOv4 classifiers for six apple flower bud growth stages in various network sizes were trained based on 5040 RGB images, and the best model achieved a 71.57% mAP for a test dataset consisted of 360 images. A flower bud mapping algorithm was developed to map classifier detection results into dense growth stage maps utilizing RGB image geoinformation. Heating requirement maps were created using artificial flower bud critical temperatures to simulate orchard heating demands during frost events. The results demonstrated the feasibility of the proposed orchard heating requirement determination methodology, which has the potential to be a critical component of an autonomous, precise frost management system in future studies.

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