Identification of the best rice seed variety and new potential area for paddy field
Identification of the best rice seed variety and new potential area for paddy field in Lombok island, IndonesiaSerge Claudio Rafanoharana
Outline• Background• Objectives• Methodology• Results and Discussion• Conclusion
Background • Rice is the main food in many areas especially in Asia • Study about rice production is becoming one of the main researches conducted in those areas
Problem Statement• Complexity of the decision IR68• Inconsistency of the decision maker• Conflicting between the individuals• Variation of perception from one individual to another
Goals• To identify the best rice seed variety to be planted in a paddy field based on ecologic, economic, and social factors• To identify the potential area for paddy field to increase rice production• To develop Internet application to publish the result
Analytic Hierarchy ProcessThe analytic hierarchy process (AHP), which provides aproven, effective means to deal with complex decisionmaking, was first introduced by Thomas Saaty in 1970’s Evaluation phase is divided into four steps given below; 1. Generate pairwise matrices 2. Generate the weights of the measures 3. Normalize weights to get the consistency among measures 4. Calculate the overall ratings
Analytic Hierarchy Process • STATE THE OBJECTIVE: SELECT THE BEST RICE SEED VARIETY • DEFINE THE CRITERIA: LAND SUITABILITY, PRODUCTIVITY, FARMERS PREFERENCE • PICK THE ALTERNATIVES: PANDANWANGI, RAJALELE, IR68
Identification of the potential area forpaddy field
Landsat TMSupervised Classification Geo referenced Image Dark Pixel Correction Atmospheric Correction Select Training Area Calculate Region Statistics Image Classification using Maximum Likelihood Display And Evaluate Selecting Training Area Classification Result Image Classification
The highest rank is Pandanwangi, meaning that the best variety of riceseed recommended to be planted in the paddy field is Pandanwangi witha percentage of 62%, followed by IR68 at 22% and by Rajalele at 16%.
Graphical representation of the benefits and costs 0.7 0.6 Pandanw angi 0.5 Pandanw angi Benefit 0.4 Rajalele 0.3 IR68 0.2 IR68 Rajalele 0.1 0 0 0.1 0.2 0.3 0.4 0.5 0.6 Cost If considering the costs and benefits, the highest score is the Rajalele variety, followed by IR68 and Pandanwangi with score 1.92, 0.96, and 0.77 respectively. In general, we chose the alternative with lowest cost and highest benefit if considering costs and benefits.
Supervised Classification Image classification process Image classification result
Model to identify the potential area for paddy field
Web-based Tool for Group Decision Making Gov’t Farmers Local Scientists and Communities Experts
Conclusion• This study used AHP in Pandanwangithe best rice seed variety to be planted in a order to identify variety got the highest score with paddy field based on ecologic, economic, and social factors. The Pandanwangi variety got the highest score with 0.62 which is 62%,IR68 with 0.22 ( best rice seed 0.62 (62%), followed by meaning that the 22%) and variety recommended to be last one is Rajalele withPandanwangi. It is followed the planted in the paddy field is a score of 0.16 (16%). by IR68 with approximately 0.22 which is 22% and the last one is Rajalele with a score of 0.16 which is 16%. The consideration of costs and benefits showed that the highest score is the Rajalele variety, followed by IR68 and Pandanwangi with score 1.92, 0.96, and 0.77 respectively. In general, we chose the alternative with lowest cost and highest benefit.• We used Model3.19% (146 km2)functionality offered within ArcGIS software. The Builder which is a of the total area (4564 km2) are best areas use of Model Builder is very interesting and helpful. There is no need to execute one by one all of the processes. maximum productivity, run the model km2) as with Once the model is built, we 2.73% (125 and all processes are executed. The potentialbe shown by adding the proper layer to the result can areas, and 1.24% (57 km2) table of content tools. The result showed that 3.19% (146 km2) of the total area (4564 km2) are best areas with maximum productivity, areas with km2) as treatment. considered as potential 2.73% (125 specific• potential areas, and 1.24% (57 km2) considered as potential areas with specific treatment. These areas are mainly located in the west and south part of the Island.• Finally, the new potential area for paddy field is published on the Internet. Since the system is Web-based oriented, it is very helpful for the end users because the World Wide Web supports e-business including internal and external global communications, decision making, and collaboration among stakeholders.