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Utilizing Free Open Source Software and Open Data in the Crop Suitability Analysis of Adlai for Climate Change Adaptation

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Utilizing Free Open Source Software and Open Data in the Crop Suitability Analysis of Adlai for Climate Change Adaptation
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CC Attribution - NonCommercial - ShareAlike 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this
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Production Year2015
Production PlaceSeoul, South Korea

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With 43,000 square kilometers of rice producing farm lands, the Philippines is considered as the largest rice importer in the world according to World Rice Statistics (2008). The increasing demand for imported rice in the country has been largely attributed to topography, underutilized farm infrastructures, typhoons and rapid population growth. Given the need to supply a stable food source to Filipinos, the Department of Agriculture (DA) has been studying the feasibility of the mass production of Coix lacryma-jobi L or Adlai, a traditional food source abundantly grown by indiginous people in the country for centuries. In contrast to rice, Adlai is naturally resilient to pests, diseases, droughts and floods, and does not need irrigation. In its study, the Department of Agriculture wanted to evaluate the adaptability of Adlai in different parts of the country for it to become a complementary staple food for Filipinos. The results of the tests in four regions (II, IV, V, and IX) have been very promising. The study found that Adlai does not need fertilizers and insecticides, it can survive with minimal rainfall, and it can be planted in upland areas. To complement the current work of the Department of Agriculture, this study aims to map the agro-edaphic zones or the areas that are suitable for the cultivation of Adlai. It will apply free open source software (QGIS) and open data sources (ASTER GDEM, PhilGIS, and DA). The selected set of variables (slope, elevation, and soil order) will be cross tabulated, and the result will represent generalized classes of associated soil orders in combination with both elevation and slope. The result of this study could then be utilized by the Department of Agriculture to determine areas in Region 11, excluding the arable land for rice, that are suitable for the cultivation of Adlai. Sources: Japan-Space Systems, Phil GIS, Manila Observatory, Environmental Science for Social Change, Department of Agriculture, Bureau of Agricultural Research.
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Transcript: English(auto-generated)
Good morning About the inside and we have Researchers Miss our cell Alejandro, so power will be sharing to you or research three open source So prayer which is QG is and open data
From stability analysis about life for climate change Adaptation so just give you an overview of our
Vice consumption in the Philippines for 97 first having seven million With accounts 20% Household expenditures, but then for the last decade To We do produce
Produce supply the demand of this rice consumption 2010 Tons The largest pricing for importer
Price imports
Ironically, dr. Country Most I mean thrice scientists
Bank of 100,000 types of rice variety making it So for the constraints why we are
Produce Of the 300,000 square kilometers of land area Small island so we have 7,100 islands. So most of these are
There are only 43,000 square kilometers Use for ice production
Comparing Constraints Structured Financial commercial land and also the biggest is by whom
You can see It the Philippines billions
Mindana which is a symptom it by typhoons and also the Two percent The time that information that's 97 million now
We have reached 100 million so to address our concern part of the mother culture of the Philippines Launching food safety efficiency program, right? So one of the
Mean these are we are looking for crops that would supplement Price nothing sorry to place price
So this Not known to most of the Philippines So, but
So banning tribe in some longer for centuries Regenine so because the people in system back into regions and also these are
Areas in the Philippines across I'd like some For consumption for winemaking small areas in the Philippines of yours I'd like
So my time Reginald Our region
We try us in some areas The country So in the result It produces high yield in the highlands as looping areas, so because it doesn't need irrigation so it tolerates
low pH in poor quality soil Looping area To raise water lagging and rest assistant
So these are very simple that in the picture. That is how the indigenous people in our country Planting and harvesting at night Plant like a grass No need for irrigation
So our objective is to determine the suitable area for at like production in the origin or original event So I just give you an Review or idea what is original event that is in the map And then this composes all these provinces the oriental the oxidant the resort
the city So an overview of the paris resources of the philippines So For around
50 percent of which is classified as paris land Slopes ranging from 18 percent and above According to 2003's utility image processed by our mines and geoscience bureau The country's total price covers
7.26 million of which 24.25 percent of the total land area And the remaining 8 million acres are unproductive open So these are just because the is very new in our in our country so with our limited
Viable or data to get so we just use this one We just focus on the slope elevation and the soil soil type that is produced by that is given to us by the
Our government Department of agriculture So we follow the simple conceptual framework with a slope then we just Combine the slope and elevation using qgis And then the result of that we use will convert. I will also combine with the soil type and then
The output to be the data suitable for at like cultivation Because of course there are other variables that could be needed but if we can get that variables then probably we can improve Our framework
So the data will be the soil type which is from the department of agriculture Which is from the philippines gis Online You can get all the data
spatial data And then we have our digital innovation model from the gsgs
So that's these are the prominent soil type in region 11 based on from the department And then we remove the
From zero to eight percent slope because like i've said, uh, this Study Because we use a light as simply a supplement a supplement to rice
So we just remove the slope because that would be uh that slope is suitable for a rice production, so we just remove that so that the remaining will be for a line production or cultivation
limitation of our Of our computer super so we just classify the innovation into lowland and upland Less than 100 meters So for the that is sold the red one will be the areas that are
supposed to be Suitable for at life or cultivation So some part of Northern part of the city
Central part of the northern and some areas in I mean, I'm not sure if you know that the place but then these are the areas that we can can Plant or cultivate at life So most part of the orientation which is the expensive word And then also most part of the world is so these are the areas that I mean suitable for
based on the three variables suitable for cultivation because I was I was thinking that my presentation will be like 20 minutes, but then
I'm squeezing all the slides. I mean the The research into the small slides number of slides then Because we are down to The end of my presentation
Yes, sorry
Yes, yes, yes For should I repeat? Yes. No, it's okay. It's okay So for the first question, uh, I ran it for about three months, but then because the the data is available
I mean because I only have three variables to consider and so it would be I mean the Because they are available online Okay with other also, uh related related literature regarding this study, but then the my related literature is
more complex Because they have this access into most I mean the The data needed so what I have only is three variables But then because like I said, uh, our geographic performance system in in our country is new. Uh, not Not not that many very young
but because the government is only our the one been handling Uh GIS now and they're using this very expensive, uh, softwares Like arc view. Can I say that arc view and arc gis? And then so they are limited resource person that could use this technology
so, uh in our part We discovered I mean i've been using Q gis like four years from four years now for four years now So, of course, I I'm also new to to the to the software but then we are trying our best because we are we have to
We have to help the government in Uh, I mean spreading like for example like geohazard map because every like in our in my in my place Davao city or in mintanao it was supposed to be typhoon free And then the government has been
Um Leaving these geohazard maps, but then every time uh, it will take a long time for them to to distribute these uh, these maps hazard maps and then Another typhoon came so you have to be to update And then because they have uh, no uh resource, I mean
Persons to to do that you have limited persons to do that So what we are trying now is we are trying our best to To use or to implement or to help The local government units to use free open source softwares. So this one would be our
Supposed to be a showcase or have to convince them that we can use this one. Okay. Now for the second question Yes, I I supposed to be that would be the plan we have to consider the geohazard areas for example in that northern part Uh expensive word of the country, that's the typhoon that was hit by pablo at the time and so I have
The plan that's the plan. They have to consider that and also the land use for the area because there are Areas, even though it is mountainous. There are other also crops that have been planted there but then because of the limitations of the variable then we just
settle for these variables first Okay Yes I'm, not sure if I got you clearly so i'm curious about your data source. Is it from the government or other academic? institutes and the second question is
how do you plan to use the result of your analysis or Uh, what is your plan or how are you using the result of your analysis? Are there programs to help farmers to grow? At lie in those area and if yes, what are the farmers feedback? Okay, so thank you for that question. Now, um, the sources would be
I'm, not sure how to play. Oh, great
I mean So the sources would be like, uh, the for the soil type you have the department of agriculture in our country, so I mean
They say I mean that The the data that they gave us will be from 1950 but then, uh, so So, I mean so we are asking because I I that that's the reason why I have I found I mean, I have this research in ad-lib because when we go to
Their office and then there's a lot of this research Uh been stuck then not been given to the farmers so I have so I asked them to if I can get some of this research. I mean about ad-lib, so I just
So their problem is that because they to implement that to the farmers Give it to the farmers now So what because like I said, they have these trials Adaptability trials in some regions of the country and that was the result so they are so in that program, so they are planning to
but then They have the program Very good program, you know foods What it called that I forget Okay, so they have this adaptability trials in some regions
And then so they're planning I mean, but then the irony of that is that we didn't if I was I'm an academ, right? So uh in attenuated about university, but then nobody knows about the ad-lib We have this shortage in rice I mean our food security is uh, I mean
At stake here. So but then nobody here about ad-lib so, uh, then I have seen that they have this program Then they've been have this adaptability At the ability trials, sorry but then The farmers don't know about it. They still they are still working on they have these problems in food security about rice
and That's it. So these are other crops that can supplement I mean our food security or our food supply. I mean supplement supplement rice
Thank you I have a question that Did you uh? Did you
evaluate or analyze the impacts of different facts factors on the results And for example that in some reasons, uh, this the factor of The Factor of climate may happen may be crucial crucial
To the results and in some other other regions Slow maybe the main factors on impact on the results Thank you. Thank you. So, uh, there are like i've said i'm limited to that
to that variables, but then I am From I live in that uh in that in that region And i've been also doing some in my research is about also some environmental research. So i've been been uh, i'm also a Mountaineer, so I I climb to the highest I mean in inner country mount apo
So I have this idea of what it looks like the climate but like i've said Because we have this other Uh study about certain crops And then the variables because the philippines is I mean especially in my in my region arminda now is
Very suitable for because it is tropical and then the climate and the temperature is suitable for I think most of the crops that Especially at light or other crops. So I just removed that variable even though yes It would be very helpful if I have that variables now, uh that information
About the temperature But then like i've said, uh, our resources is limited So, I mean we have the manila observatory of at any other university at any other manila university Which they are they have that information But then because of the lack of time so I was not able to to get that data
but then I'm doing this research in the assumption that most of uh crops would be Would I mean would be good for in in that region? I i'm, sorry. I wasn't okay. I hope I answered your your question
Going back to your to your question about the program. I how am I going to to plan to so like i've said this is uh this is a stepping stone for Our the gis now or the using free open source softwares uh to to our to promote
Using any products because or any crops in our in our government because like i've said When gis softwares are very expensive and only the government can can I mean can afford even though our institute is planning to buy Because they are very supportive when I introduce gis in our in our university
They are very interested in using I mean conducting because we are we have in our budget for either in our research. We have been though It's not that big. We have 10 million pesos a year for our Research Okay It's not that big compared to other universities. But but then it is a good start and then they are
most of the research especially if it is Uh, gis based and then they are interested to to fund so Like and for an academy For a university we have this I mean, like I said, we would be very easy for us to communicate
with uh with a with a government Okay, so especially if you're going to show this one, of course We have this there will be a lot of improvements, uh for this research, but then it's a good start for us So I hope I answered your question
Thank you for your presentation Um, thank you, I don't think there are climate factors in your research. So Do you have
Do you consider climate factors such as climate change scenario five scenario I yes, that would be I I want to consider that one, but then we don't have uh, we don't have that in uh data yet
Because it would be Like I said, we have the lack of time but then but then we are planning because I have I already suggested this research into our Our attenuated about attenuated manila university. They have this manila observatory So they have this connection with nasa. So they are Even they can nasa can give them
disinformation climate change variables or Anything they want if you can just simply ask or I mean collaborate with the attenuated manila attenuated manila university So we're not able to communicate this one. Oh, I mean Because the lack of time but then they are willing to help in improving the the data
Okay. Thank you