Soil suitability analysis for crop planning in kheragarah Tehsil of Agra district, Uttar Pradesh

2016 ◽  
Vol 64 (4) ◽  
pp. 311 ◽  
Author(s):  
A.A. Mustafa ◽  
Man Singh ◽  
Nayan Ahmed ◽  
R.N Sahoo ◽  
Manoj Khanna ◽  
...  
Keyword(s):  
Uttar Pradesh ◽  
Suitability Analysis ◽  
Crop Planning ◽  
Soil Suitability

scholarly journals Rainfall variability analysis of Uttar Pradesh for crop planning and management

MAUSAM ◽  
2021 ◽  
Vol 69 (1) ◽  
pp. 141-146
Author(s):  
ARVIND KUMAR ◽  
P. TRIPATHI ◽  
AKHILESH GUPTA ◽  
K. K. SINGH ◽  
P. K. SINGH ◽  
...  
Keyword(s):  
Rainfall Variability ◽  
Uttar Pradesh ◽  
Crop Planning ◽  
Variability Analysis ◽  
Planning And Management

Soil suitability analysis and evaluation of pistachio orchard farming, using canonical multivariate analysis

2019 ◽  
Vol 246 ◽  
pp. 528-534 ◽  
Author(s):  
Mohsen Bagheri Bodaghabadi ◽  
Abbas Amini Faskhodi ◽  
Mohammad Hassan Salehi ◽  
Seyed Javad Hosseinifard ◽  
Mojdeh Heydari
Keyword(s):  
Multivariate Analysis ◽  
Suitability Analysis ◽  
Analysis And Evaluation ◽  
Soil Suitability

scholarly journals CROP SUITABILITY ANALYSIS FOR CEREAL CROPS OF UTTAR PRADESH, INDIA

2018 ◽  
Vol XLII-5 ◽  
pp. 353-360
Author(s):  
P. Singh ◽  
R. K. Upadhyay ◽  
H. P. Bhatt ◽  
M. P. Oza ◽  
S. P. Vyas
Keyword(s):  
Crop Production ◽  
Uttar Pradesh ◽  
Cereal Crops ◽  
Suitability Analysis ◽  
Climate Data ◽  
Analytical Hierarchical Process ◽  
Crop Suitability ◽  
Gis Data ◽  
Suitability Map ◽  
Growing Conditions

<p><strong>Abstract.</strong> The crop suitability is the process of assessing the appropriateness or ability of a given type of land on the basis of growing conditions of a particular crop. The study focused on the crop suitability analysis of cereal crops for their production in Uttar Pradesh. Information about crop suitability is essential for proper management of agriculture in the study area. Remote sensing and GIS data provide a reliable information and technique to find suitable land for crops. The research was based on GIS based Multi-Criteria Decision Approach. The AMSR-2 (Advance Microwave Scanning Radiometer) soil moisture data, Carto-DEM, soil chemical and physical properties and climate data were used to identify the crop suitability in the study area. Weightage of different factors was arrived at based on input and feedback from experts. An Analytical Hierarchical Process (AHP) was used in ArcGIS environment to generate suitability map for the cereals crop. The suitability map has been categorised in the form of highly suitable, moderately suitable, low suitable and non-agricultural/ non-suitable region of the study area for Wheat, Rice, Sorghum, Maize and Pearl Millet/Bajra.</p><p>The overall study indicates that the study area has a huge potential of cereal crop production. Therefore, improved levels of agricultural production can be achieved by cultivating crop in highly and moderately suitable areas; and practicing diversification of marginally suitable areas to crops other than that for which it is low suitable.</p>

scholarly journals Rainfall trend analysis for crop planning under rainfed conditions in district Agra of Uttar Pradesh

MAUSAM ◽  
2021 ◽  
Vol 69 (4) ◽  
pp. 599-606
Author(s):  
K. K. SHARMA ◽  
A. K. SINGH ◽  
S. K. DUBEY
Keyword(s):  
Trend Analysis ◽  
Uttar Pradesh ◽  
Rainfall Trend ◽  
Crop Planning ◽  
Rainfed Conditions

Development of Soil Suitability Ratings Index for Crops in the North – East of Libya Using Geographic Information System

2020 ◽  
Vol 2 (1) ◽  
pp. 19-29
Author(s):  
Bashir A. Nwer ◽  
Abdulmeanem M. Whaida ◽  
Fatima M. Grab
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Land Use Planning ◽  
Geographic Information ◽  
Land Evaluation ◽  
Parametric Approach ◽  
Suitability Analysis ◽  
Local Conditions ◽  
Soil Suitability ◽  
North East

Agriculture production faces a great challenge for the coming decades which is the food security for the ever-increasing world’s populations. The key role in sustainable agriculture production can be played by sustainable soil uses and management. Land evaluation for specific purpose is an important tool for land use planning. A number of land evaluation techniques have been developed to assess land for different uses. The parametric approach is one that combines various soil and site properties (parameters) that are believed to influence yield using mathematical formula. The Storie Index Rating was an early attempt at quantitative land evaluation and an example of parametric approach. The system has been widely applied around the world, for example, It has been used in California, mainly for irrigated soils (Kudrat and Saha, 1993). In addition, it was adapted in Libya. The Libyan modified index rating takes into account local conditions to determine the properties included. Local experiences were used to classify the soil suitability (Mahmoud, 1995). The rating was taking into account eleven soil properties to produce an overall rating. This paper modified the productivity rating and produce computerized model which uses spreadsheet model for suitability analysis and integrates the results in geographic information system (GIS) environment. The results show that Barley is the most suitable crop with 42 % of the area is very high suitable and about 18 % is not suitable for barley. Whereas maize is about 29 % is high suitable in that soils of the study area, and less than 25 % is not suitable. GIS allow modelling, running a range of soil use scenarios and data manipulate so that the optimal soil use can be identified to achieve sustainable development. In addition, it allows the comparison between different crops to select the most appropriate to local conditions and development goals. This paper is part of series research papers which uses concepts developed and applied in different area of Libya.

scholarly journals Rainfall probability analysis for crop planning in Allahabad district of eastern Uttar Pradesh

2021 ◽  
Vol 21 (1) ◽  
pp. 112-113
Author(s):  
SHAILENDRA BANJARE ◽  
SHRADDHA RAWAT ◽  
SHWETA GAUTAM
Keyword(s):  
Uttar Pradesh ◽  
Probability Analysis ◽  
Crop Planning ◽  
Eastern Uttar Pradesh

Credit constraints and Rural Migration: Evidence from Six Villages in Uttar Pradesh

2018 ◽  
Vol 15 (3) ◽  
pp. 389-398
Author(s):  
Ruchi Singh
Keyword(s):  
Credit Constraints ◽  
Uttar Pradesh ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Male Migration ◽  
Rural Economies ◽  
And Migration ◽  
The Relationship ◽  
The Empirical Analysis

Rural economies in developing countries are often characterized by credit constraints. Although few attempts have been made to understand the trends and patterns of male out-migration from Uttar Pradesh (UP), there is dearth of literature on the linkage between credit accessibility and male migration in rural Uttar Pradesh. The present study tries to fill this gap. The objective of this study is to assess the role of credit accessibility in determining rural male migration. A primary survey of 370 households was conducted in six villages of Jaunpur district in Uttar Pradesh. Simple statistical tools and a binary logistic regression model were used for analyzing the data. The result of the empirical analysis shows that various sources of credit and accessibility to them play a very important role in male migration in rural Uttar Pradesh. The study also found that the relationship between credit constraints and migration varies across various social groups in UP.

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