thesis presentation ppt ethiopia

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Proposal presentation By Melkamu -2020 AAU

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Melkamu Demelash

Accurate crop classification using remote sensing based satellite imageries approach remains challenging due to mix in spectral signatures. Employing Unmanned Aerial Vehicle (UAV) together with satellite imageries is believed in improving crop classification at field. Accordingly, this study aims to evaluate the potential of UAV images by blending with Sentinel 2A satellite images for crop field classification in Ethiopian agricultural context. The main purpose of the blending is to upgrade and or improve the lower resolution of the data source that is the sentinel 2A data which was 10m resolution. In the study, UAV data was used and preprocessed. The preprocessing includes camera calibration, photo alignment, dense point cloud generation based on the estimated camera positioning of scouting crop types. Then, orthomosaic UAV image was generated from single dense point cloud. Then, the processed UAV data was fused with Sentinel 2A (medium resolution) satellite data using Gram Schmidt...

Revista Visión electrónica

Revista Vinculos Universidad Distrital Francisco Jose de Caldas Telematica, sistematizacion de datos

Unmanned Aircraft Vehicles (UAVs) are currently used for multiple applications in various fields: forestry, geology, the livestock sector and security. Among the most common applications, it is worth to stand out the image acquisition, irrigation, transport, surveillance and others. The study that one presents treats of the implementations that are realized by means of aerial images acquired with UAVs directed to the farming. Images acquired until recent years had been using satellites, however due to the high costs that are incurred and low accessibility to these technologies, UAVs, have become a tool for greater precision and scope for making decisions in agriculture. Information from databases of international magazines, groups and research centers is taken to determine the current state of implementations in Precision Agriculture (PA). This article describes tasks such as: soil preparation; limits and land areas, vegetation monitoring; classification of vegetation, growth, height, plant health; diseases management, pests and weeds, fertilization and inventory developed from analysis of aerial images acquired with UAVs

Herbei Mihai

Image analysis methods were developed and diversified greatly in recent years due to increasing speed and accuracy in providing information regarding land cover and vegetation in urban areas. The aim of this paper is to process satellite images for monitoring agricultural areas. Satellite images used in this study are medium and high resolution images taken from QuickBird and SPOT systems. Based on these images, a supervised classification was performed of a very large area, having as result the land use classes. Supervised classification can be defined as the ability to group the pixels that compose the satellite image, digitally, in accordance with their real significance. Gaussian algorithm of maximum similarity (Maximum likelihood) was used, referred to in the specialty literature as maximum likelihood method or probabilistic classification, and based on the use of probability theory (function Gaussian) to compare the spectral values of each pixel in hand with statistical " fingerprint " of each area of interest. Practically, conditional probabilities were calculated of belonging to one class or another. The points in the middle of the group have a higher probability of belonging to the certain class, probability intervals (concentric isolines or contours of equal probability) being delimited graphically by izocontours expressing spectral variations within each set of training.

This paper describes the basic technological aspects of Digital Image Processing with special reference to satellite image processing. Basically, all satellite image-processing operations can be grouped into three categories: Image Rectification and Restoration, Enhancement and Information Extraction. The former deals with initial processing of raw image data to correct for geometric distortion, to calibrate the data radiometrically and to eliminate noise present in the data. The enhancement procedures are applied to image data in order to effectively display the data for subsequent visual interpretation. It involves techniques for increasing the visual distinction between features in a scene. The objective of the information extraction operations is to replace visual analysis of the image data with quantitative techniques for automating the identification of features in a scene. This involves the analysis of multispectral image data and the application of statistically based decision rules for determining the land cover identity of each pixel in an image. The intent of classification process is to categorize all pixels in a digital image into one of several land cover classes or themes. This classified data may be used to produce thematic maps of the land cover present in an image.

Sistemas y Telemática

SAMY KHARUF GUTIERREZ

Cuban agriculture has the growing need to increase its productivity. To achieve this, precision agriculture can play a fundamental role. It is necessary to develop an image processing system able to process all the crops information and calculate vegetation indexes in a satisfactory way. This will entail in accurate measurements of the nitrogen lack, the hydric stress, and the vegetal strength, among other aspects, seeking to improve the accuracy in the care of these aspects. This document reports the results of an investigation pointed to develop a procedure for capturing and processing multispectral aerial images obtained from Unmanned Aerial Vehicles [UAV]. This procedure searched to measure the vegetation indexes of sugarcane crops that may be correlated with the level of vegetal strength, the number of stems, and the foliar mass per lot. We used a USENSE-X8 UAV together with a Sequoia multispectral sensor and the QGIS processing software. The procedure was experimentally valida...

“Agriculture for Life, Life for Agriculture” Conference Proceedings

Mihai Gidea

The paper aims to evaluate the potential of using aerial images captured from UAV’s, when compared with satellite images, for the purpose of monitoring rapeseed cultures. For this, a comparison is presented; two modern methods of gathering and processing images with the purpose of estimating the rapeseed culture yields, in contrast with the classic method. For this purpose, we use professional equipment to gather images, GPS RTK to provide advanced precision, as well as software such as Precision Flight to plan the flight routes, Precision Mapper to construct the orthophoto, custom made Python programs and LeoWorks to process and classify the resulting images.

Dr Prem Pandey , Kshitij Srivastava

Farmers, agencies, agricultural research community and firms require access to tools to analyze and estimate stressed and productive regions to obtain higher yield. At present, this is performed manually using visual interpretation. Recently there has been some development in the detection and mapping of the stressed crop by use of hyperspectral analysis; but, there is an information gap between farmers and information about the location of the crop under stress in the given area. There is an urgent need to provide a robust solution to identify the stressed region in the agricultural area. To address this, a unique application called as VegNet (Vegetative-Network) has been developed, which aims to provide the necessary tools to detect stressed crop locations using the spectral images obtained from UAVs, and provide stressed crops condition, location and area covered by those stressed crops. In this paper, a combination of spectral vegetation indices techniques has been highlighted to produce a comprehensive solution for precision agriculture using a UAV and VegNet. This incorporates several algorithms; segmentation, Canny-edge detector, dilation, gap-filling, image extraction and locating the stressed region using spectral modelling based Graphical User Interface (GUI) application for precision agriculture, societal benefit and Environmental research.

Zbornik radova Departmana za geografiju, turizam i hotelijerstvo

Dušan Jovanović

Entertainment GM

Pictures are the most effective means of conveying information. A picture is worth a thousand words. Pictures concisely convey information about positions, sizes and interrelationships between objects. Human beings are good at deriving information from such images, because of our innate visual and mental abilities. About 75% of the information received by human is in pictorial form. The paper describes the basic technological aspects of digital image processing with special reference to satellite image processing. Basically all satellite images processing information can be grouped into three categories. Image rectification and restoration Image enhancement Information extraction The former deals with initial processing of raw image data to correct for geometric distortion, the enhancement procedures are applied to image data in order to effectively display the data for subsequent visual interpretation. The intent of classification process is to categorize all pixels in a digital image into one of several land cover classes or themes. This classified data may be used to produce thematic maps of the land cover present in an image. Our paper comprises of the above stated actions on the data from satellite image (IRS –P6) by LISS-III sensor of 23.5mresolution of 55o7 region on topo sheet. Thus, working on the satellite image we extracted information which has brought us to valuable conclusions, which reveals how image processing can be maneuvered I INTRODUCTION Our discussion will be focussing on analysis of remotely sensed images. These Images are represented in digital form. When represented as numbers, brightness can be added, subtracted, multiplied, divided and, in general, subjected to statistical manipulations that are not possible if an image is presented only as a photograph. Previously, digital remote sensing data could be analyzed only at specialized remote sensing laboratories. Specialized equipment and trained Personnel necessary to conduct routine machine analysis of data were not widely available, in part because of limited availability of digital remote sensing data and a lack of appreciation of their qualities. II DIGITAL IMAGE: A digital remotely sensed image is typically composed of picture elements (pixels) located at the intersection of each row i and column j in each K bands of imagery. Associated with each pixel is a number known as Digital Number (DN) or Brightness Value (BV) that depicts the

Nagasrinivasa Rao N Naladala

Every field across the globe has turned to be a beneficiary of agricultural fields to reap the fruits. Specially designed low altitude Hexacopter aids the processing. Many applications are yet to be unearthed, but this paper deals with three crucial objectives namely Terrain analysis, Animal Intrusion Avoidance and Mango cutting. To analyze the terrain a new framework descending from region growing technique is employed along with thresholding. For the purpose of mango detection, HSV color detection algorithm, Edge detection and Stereo vision are combined, embedded with a robotic arm cutter to achieve the purpose. Animal intrusion avoidance can be attained through a hybrid version of region based approach and motion detection algorithm that can perfectly solve the riddle technological advancements.

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Ethiopia - PowerPoint PPT Presentation

Red chili pepper, ginger, cloves, coriander, rue berries, and ajwain (bishop's weed) ... Ginger. Lean part of beef (Kitfo) Sea food. Fruit. Raw beef (For ... – PowerPoint PPT presentation

• Kimberly Moss
• Rachael Huang
• Yukiko Isoya
• Eastern Africa
• Surrounded by
• Total Area 435,071 square miles
• (About twice the size of Texas)
• Mostly mountainous landscape
• (Central Plateau - average altitude of 2,000 m)
• Several rivers, No coastline
• Climate similar to San Francisco
• Capital Addis Ababa
• 70 million (approx.)
• Ethiopian Orthodox Christianity
• Language 80 types
• Amharic (official)
• Tribal Business
• Oromo English
• Tigrigna French
• Somaligna Italian
• Literacy rate 32.7
• Natural Resources small reserves of gold, platinum, copper, natural gas, hydropower
• Main export Arabica Coffee
• Honey wine Mead
• 13.9 alcohol
• Flavored with gesho
• No sulfite because of
• natural anti-oxidants and
• high alcoholic content
• Safest beverage since no
• microorganisms can grow
• Similar to dry Riesling
• Bread called injera
• -made from teff
• Breadreciprocity or household hospitality
• with vegetables
• with spices (berbere)
• Wat Ethiopian Stew
• Usually eaten with injera
• Typical core dish injera with wat
• Types of Wat
• Doro wat chicken stew
• Shiro wat vegetable stew
• Sik Sik wat beef stew
• Combination of spices
• Red chili pepper, ginger, cloves, coriander, rue berries, and ajwain (bishops weed)
• Varies from home to home
• Prepared by the chef, the woman of the house
• Egg (boiled)
• Lean part of beef (Kitfo)
• (For special event such as wedding)
• Dabo Kalo- spicy and crunchy Snack
• 3 meals a day
• Breakfast is simple and light
• Typically breakfast starts at 8 am
• Lunch and dinner are similar to each other
• Meal times vary among families and regions
• Women are mainly responsible for domestic activities-cooking, cleaning
• Food is prepared in the kitchen
• Cooking method-simmering for stew, frying for bread, boiling
• Eaten in the dinning room
• Only use right hand, no forks or knives
• Strong relationship in family
• Share food from one mesob
• At a restaurant, guests can be invited and share food immediately
• Traditional table mesob
• In some westernized restaurants, napkins and salt/pepper are on the wooden table with modernized mesob
• Wash hands before a meal
• Typically guests or elderly person initiate eating
• Reaching over to the other side of the mesob is impolite, you should only take from the injera in front of you
• Leaving some leftover is polite
• Conversation during meal is polite, completely concentrating on the meal is impolite
• When elderly person or guest enters a room, stand still until that person is seated
• Dont bite into half portions.
• Take the amount you can put into your mouth at one time
• Performed three times a day--morning, noon, and evening
• The ceremony can take a couple of hours
• It is a time for everyone to catch up on the happenings of the community
• Beans are washed in a hot pan
• The husks are removed
• Coffee beans are roasted and ground slowly with a long handled mortar and pestle
• Coffee grounds are placed in the Jebena
• The coffee is filtered through a sieve several times
• The coffee is served to the oldest person
• Each person is expected to have three cups
• The third cup is believed to bestow a blessing
• 45-50 Islam
• Wine is not allowed
• 35-40 Ethiopian Orthodox Christianity
• Wineblood of Christ
• Breadbody of Christ
• 3-8 traditional faiths
• Judaism is not prevalent due to the evacuation in 1984 1991
• Animals not slaughtered according to Kashrut or Halal Guidelines
• 55 days of Lent which ends with Easter or Fasika
• True finding of the cross by Empress Helena
• Ethiopia stills harbors a piece of the cross
• Serve goat and tea
• Three-day event beginning on the eve of Timkat
• 1st colorful processions
• 2nd Jesus Baptism in the Jordan River
• 3rd feast in celebration of St. Michael
• Serve tej, tella, bread and sheep
• Dingetegna alleviate multi-symptom sudden illnesses sudden pain symptoms, especially those of the gastro-intestinal origin
• The roots are chewed and the juices swallowed
• Oat Meal beverage
• Mixed with honey or sugar and butter
• Consumed by
• Pregnant women
• Women in labor
• Individuals recuperating from all kinds of illnesses
• California - second largest State that has the most Ethiopians
• Granted asylum, refugees, or Diversity Visa lottery winners
• Los Angeles and Bay Area in California
• Oakland has the greatest Ethiopian population
• More than 40,000 Ethiopian residents in and around Oakland
• Oakland government welcomes Ethiopians with open arms
• Oakland government highly respects Ethiopians in Oakland
• Oakland Hills is going to build the largest Ethiopian Orthodox Church
• Recognizes Ethiopian culture and cuisine
• Praises the contributions of the Ethiopian Community and Cultural Center
• Recognizes Telegraph Ave. as the Ethiopian market place
• Declares September 11, 2004 as the Ethiopian Day
• (same as Ethiopian New Years Day)
• Two great Ethiopian communities in Oakland
• Ethiopian Community Center
• Ethiopian Community Cultural Center
• Mission of the communities
• Providing Charitable services
• Assisting Ethiopian immigrants
• Advancing the interests of the Ethiopian Community in the Bay Area and throughout the United States of America
• Promoting and advancing communication and understanding among Ethiopians and Americans, and all other communities
• Enhancing and Promoting Ethiopian Culture
• Ethiopian-owned businesses
• -five restaurants
• -two travel agencies
• -two hair salons
• -four realtors
• Similarities
• Staple food is bread
• Drinking beverage as communal experience
• Ethiopia coffee
• Saudi Arabia - tea
• Differences
• Ethiopian Orthodox Christianity vs. Islam
• Alcoholic consumption
• Ethiopia honey wine and other spirits!
• Saudi Arabia No alcohol
• Staple food
• Ethiopia injera
• Iran - rice
• Core food eat with vegetable and meat
• Eat food with the fingers of their right hand
• Pork is forbidden
• Coffee has long history and kind of custom
• Spices and seasonings is mixed in most cuisine
• Islamic countries, food taboos are similar
• Various selections of fruit juices
• Produces a lot of wine, mainly for export
• Meats such as lamb, chicken and beef are usually cut up and served as a kebab
• Heavy use of spices and herbs, vegetables
• Influenced by Islam, eating pork is not allowed, lamb, beef, fish and chicken is basic food
• Among dairy products, Pakistani milk is popular.
• Influenced by the Emperor of Pakistan, Pakistan cookery has developed a lot.
• Decorations of cuisine, mixed with fruits and seasonings are popular
• Food is spicy
• Beef consumption
• Main industry
• Ethiopia coffee export
• Morocco phosphate mining
• Morocco tea
• Ethiopia honey
• Morocco - grapes
• 1. From what grain is Injera, the traditional Ethiopian food, is made?
• 2. What is a European version of stew in Ethiopia?
• 3. What food is forbidden in Ethiopia?
• 4. Is it polite to leave some leftover in Ethiopian table?
• 5. What is the name of the Ethiopian honey wine?
• 6. Ethiopias climate is similar to San Francisco
• 7. The main export of Ethiopia is
• 8. Ethiopia Day was declared on
• c. Sept. 11th, 2004
• 9. Which city in bay area has most Ethiopia population?
• 10. Which is the famous Ethiopian market place in the city that has most Ethiopian?
• a. Telegraph Avenue
• 11. Ethiopian Community Center and Ethiopian Community Cultural Center are the two Ethiopian community centers in Oakland.
• 12. Where is Ethiopia community going to build the largest Ethiopian Orthodox Church?
• a. Oakland Hills
• 13. The most important Ethiopian holiday is ?
• 14. The coffee ceremony is performed three times a day in most of Ethiopia.
• 15. Ethiopia is believe to have a piece of the cross on which Jesus Christ was sacrificed.

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