Skip to main content

Vulnerability Assessment Of Pineapple Industries Under Changed Climate Scenarios : A new research idea

Vulnerability Of Pineapple Industries due to change in climate
Proposed Methodology

Vulnerability in pineapple industries due to climate change

Justification :

The pineapple is a tropical plant with edible fruit, and it is the most economically important plant in the Bromeliaceae family. Pineapple cultivation is restricted to hilly regions in northeastern India and coastal regions of peninsular India with high rainfall and humidity. It is also commercially grown in the interior plains with medium rainfall and supplementary irrigation. Pineapple is primarily grown under rainfed conditions. Supplemental irrigation aids in the production of large fruits in areas with abundant rainfall. Irrigation also helps to establish an off-season planting to maintain its year-round production. In case of scanty rainfall and hot weather, irrigation may be provided once in 20-25 days. The success of Pineapple cultivation depends on various climatic parameters as well as soil characteristics and irrigation requirements. Now due to global warming, the regular pattern of climate is changing and the occurrence of abnormal events is rising. As a result due to this aberration in the regular pattern of climate, pineapple productivity in many locations is getting vulnerable. That is why there is a need to analyze the impact of climatic abnormalities on the productivity of pineapples in different locations of the World. 


Proposed Objective

There are various factors on which growth and harvesting of the crop will vary.No parameter is equally important. The significance varies with parameters. As a result, the climate change impacts are vaguely mensurable. The present study aims to introduce a Vulnerability Indeisces which will cognitively measure the impact of climate change on pineapple productivity and consequently the EBITDA of pineapple industries will be compared to identify the vulnerability with time. In this aspect, the technologically advanced decision-making methods and their application in vulnerability analysis will also be tested.


Pre-Requisite :

For this project, you must have a firm understanding of the following subjects: 

  1. MCDM Techniques
  2. AI Techniques
  3. Pineapple Industries
  4. Risk and Reliability

Links you may use further

Read related articles in the Hydrology N/L Blog.

Data Required for this idea can be found at DataYar

This article can be published as PrePrint in EIS.

For more such project ideas become a premium member of DSS.


Idea Conceptualized by: Dr.Mrinmoy
Add to Listy

Popular posts from this blog

Free Ecourse on MCDM Techniques

1) ELECTRE : ELIMINATION AND CHOICE TRANSLATING REALITY 2)FMAE : FAILURE MODE EFFECTS ANALYSIS 3)MAUT : MULTI ATTRIBUTE UTILITY THEORY 4&5)PROMETHEE : PREFERENCE RANKING ORGANIZATION METHOD FOR ENRICHMENT EVALUATION (One and Two) 6)RA : RELIABILITY ANALYSIS 7)WSM : WEIGHTED SUM METHOD 8)WPM : WEIGHTED PRODUCT METHOD 9)DELPHI Method All these are free video tutorials. For case studies and project ideas please upgrade to Paid Member. Click here  to procure in INR: Other than INR :  Click here You may also like : HydroGeek: The newsletter for researchers of water resources https://hydrogeek.substack.com/ Baipatra VSC: Enroll for online courses for Free http://baipatra.ws Energy in Style: Participate in Online Internships for Free http://energyinstyle.website Innovate S: Online Shop for Water Researchers https://baipatra.stores.instamojo.com/ Call for Paper: International Journal of HydroClimatic Engineering http://energyinstyle.website/journals/ Hydro Geek Newsletter Edition...

Master TOPSIS to operationalise multi-criteria trade‑offs using distance‑to‑ideal reasoning and transparent rankings.

1.TOPSIS is best described as A single-objective optimization method for continuous design variables A compensatory MCDM method for ranking finite alternatives across multiple criteria A simulation technique for stochastic hydrologic models A clustering algorithm for grouping similar alternatives 2.In TOPSIS, the Positive Ideal Solution (PIS) represents The alternative with the smallest Euclidean norm in the decision space A hypothetical alternative with the best performance on every criterion The real alternative that appears first in the decision matrix The average of all alternatives over all criteria 3.The Negative Ideal Solution (NIS) in TOPSIS is The worst-performing actual alternative in the dataset A hypothetical alternative with the worst value of each criterion The alternative with the largest index in the matrix The alternative that violates the most constraints 4.For benefit-type criteria (to be maximized), the PIS component is taken as The minimum observed val...

What will the future of AI and ML modeling of water resource development look like?

AI & ML modeling application is now widespread in water resource development studies. But due to the uncertainty in water parameters, much more innovation is required for their practical applications In recent years like all the other fields of studies, the application of Artificial Intelligence and Machine Learning (AI&ML) on water resource development projects has increased manifold. For example : Sukanya, S., and Sabu Joseph. " Climate change impacts on water resources: An overview ." Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence (2023): 55-76. Kommadi, Bhagvan. " AI and ML Applications: 5G and 6G ." (2023). Joseph, Kiran, Ashok K. Sharma, Rudi van Staden, P. L. P. Wasantha, Jason Cotton, and Sharna Small. " Application of Software and Hardware-Based Technologies in Leaks and Burst Detection in Water Pipe Networks: A Literature Review ."  Water  15, no. 11 (2023): 2046. Yurtsever, Mustafa, and E. M...