Record Details

Total land suitability analysis for rice and potato crops through FuzzyAHP technique in West Bengal, India

MELSpace

View Archive Info
 
 
Field Value
 
Title Total land suitability analysis for rice and potato crops through FuzzyAHP technique in West Bengal, India
 
Creator Singha, Chiranjit
 
Contributor Swain, Kishore Chandra
Sahoo, Satiprasad
Abdo, Hazem Ghassan
Almohamad, Hussein
Al Dughairi, Ahmed Abdullah
Albanai, Jasem A
 
Subject total land suitability
fuzzyahp
sentinel 2b
 
Description A total land suitability analysis was carried out through FuzzyAHP technique for rice and potato crops in West Bengal, India. Around 21 most relevant crop suitability parameters were selected and classified under five primary criteria, such as terrain distribution parameter, static soil parameter, available soil nutrient, agriculture practice parameter, and local variation parameter for the study. The factors such as NDVI and SAVI values were estimated from Sentinel 2B images in “SNAP” toolbox software environment, whereas soil nutrients were estimated through standard laboratory methods. Individual parameter weights were assigned through the FuzzyAHP technique for sub-criteria as well as for primary criteria. The final crop suitability map was developed showing nearly 20% of the total area as highly suitable for rice crop, whereas nearly 39% of the area was found suitable for the potato crop. Comparing the prediction map with yield distribution, it was found that the southwest region of the study area is very suitable for both rice and potato crop with higher crop yields in the range of 5 t/ha and 20 t/ha, respectively. Six different machine learning models, namely random forest, support vector machine, AdaBoost, extreme gradient boosting, logistic regression, and naïve Bayes, were utilized for validation of the suitability maps. The support vector machine (SVM) learning model with the highest AUC (~80%) was found efficient for testing both rice and potato crop suitability. The economic status of farmers can be rejuvenated by selecting the best crop rotation through land suitability analysis.
 
Date 2024-08-15T18:19:14Z
2024-08-15T18:19:14Z
 
Type Journal Article
 
Identifier https://mel.cgiar.org/reporting/downloadmelspace/hash/339368768417a1b05e6e3f4c397be9ec
Chiranjit Singha, Kishore Chandra Swain, Satiprasad Sahoo, Hazem Ghassan Abdo, Hussein Almohamad, Ahmed Abdullah Al Dughairi, Jasem A Albanai. (18/9/2023). Total land suitability analysis for rice and potato crops through FuzzyAHP technique in West Bengal, India. Cogent Food & Agriculture, 9 (1).
https://hdl.handle.net/20.500.11766/69480
Open access
 
Language en
 
Rights CC-BY-4.0
 
Format PDF
 
Publisher Taylor and Francis Group
 
Source Cogent Food & Agriculture;9,(2023)