Soil resource inventory, land capability and crop suitability assessment of Bantanahalli micro-watershed under semi-arid regions of Karnataka

2017 ◽  
Vol 16 (3) ◽  
pp. 201
Author(s):  
S.N. Anilkumar ◽  
Prabhudev Dhumgond ◽  
A. Satish ◽  
V.R. Ramakrishna Parama
Keyword(s):  
Arid Regions ◽  
Land Capability ◽  
Soil Resource ◽  
Suitability Assessment ◽  
Crop Suitability ◽  
Resource Inventory ◽  
Semi Arid

scholarly journals GIS-based agro-ecological zoning for crop suitability using fuzzy inference system in semi-arid regions

2020 ◽  
Vol 117 ◽  
pp. 106646 ◽  
Author(s):  
Jafar Nabati ◽  
Ahmad Nezami ◽  
Ehsan Neamatollahi ◽  
Morteza Akbari
Keyword(s):  
Fuzzy Inference System ◽  
Arid Regions ◽  
Fuzzy Inference ◽  
Inference System ◽  
Crop Suitability ◽  
Semi Arid

scholarly journals Soil Mapping at Village Level in a Part of Amethi District, U.P. using IRS LISS-IV and Cartosat-1 Merged Data for Sustainable Land and Crop Management

Agropedology ◽  
2019 ◽  
Vol 26 (2) ◽  
Author(s):  
P.P.S. Yadav ◽  
◽  
G. Rajput ◽  
Arjun Singh ◽  
K. Singh ◽  
...  
Keyword(s):  
Action Plan ◽  
Uttar Pradesh ◽  
Crop Management ◽  
Soil Survey ◽  
Land Capability ◽  
Soil Resource ◽  
Soil Database ◽  
Village Level ◽  
Crop Suitability ◽  
Soil Information

The study presents a soil survey carried out in two nyayapanchayats, consisting of 23 villages of Amethi district of Uttar Pradesh. The soil resource database has been generated by interpreting Resourcesat-1 LISS-IV and Cartosat-1 merged data on 1:10,000 scale. Six physiographic units have been delineated in the area and soil compositions in each unit have been correlated. Twelve soil series have been mapped. The soil database was integrated with plot (khasra) boundary which help in generating soil information at plot and farmer level. Village level action plan for sustainable land and crop management has also been prepared. Information on land capability, land irrigability, crop suitability and Storie index rating have also been generated. It is observed that LISS-IV and Cartosat-1 merged satellite data help in generating village level soil information, useful for detailed micro-level planning. The soil problems identified in the area include sodicity, erosion, and poor drainage.

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