Abstract
Food, water, and energy scarcity threaten India's future, and they must be addressed first. To meet the country's ever-increasing population needs, agricultural productivity must be expanded. For the crop-land suitability, we have studied an area of about 6,539 km2 in Vizianagaram district. The majority of the land is used for paddy agriculture (Kharif). The crop-land suitability has been evaluated based on the different parameters identified in that study area. “Remote sensing (RS)” and “geographic information system (GIS)” were combined for the crop-land suitability using nine parameters. The slope, elevation, rainfall, soil texture, lithology, groundwater, land use–land cover (LULC), TWI, and land surface temperature are the primary criteria used to determine the crop-land suitability in the Vizianagaram district (AP). Thematic maps were created using Landsat 8 images and SRTM DEM images from USGS Earth Explorer. Based on these maps and the influence of these parameters, we may assign weights to the parameters and then rank them, the Analytic Hierarchy Process (AHP) allowing us to identify which area is more suitable for good crop productivity and which is not. In this study, the soils are divided into four categories: low suitability, moderate suitability, high suitability, and extremely high suitability. The suitability index is found to be in the range of 0–55.2%, which indicates the lack of outstanding agricultural lands in the sudy region.
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Prof. Felföldi, József
Institute: MATE - Hungarian University of Agriculture and Life Sciences, Institute of Food Science and Technology, Department of Measurements and Process Control
Address: 1118 Budapest Somlói út 14-16
E-mail: felfoldi.jozsef@uni-mate.hu
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| 2021 | |
|---|---|
| Web of Science | |
| Total Cites WoS |
not indexed |
| Journal Impact Factor | not indexed |
| Rank by Impact Factor |
not indexed |
| Impact Factor without Journal Self Cites |
not indexed |
| 5 Year Impact Factor |
not indexed |
| Journal Citation Indicator | not indexed |
| Rank by Journal Citation Indicator |
not indexed |
| Scimago | |
| Scimago H-index |
8 |
| Scimago Journal Rank |
0,141 |
| Scimago Quartile Score | Environmental Engineering (Q4) Industrial and Manufacturing Engineering (Q4) Mechanical Engineering (Q4) |
| Scopus | |
| Scopus Cite Score |
0,8 |
| Scopus CIte Score Rank |
Industrial and Manufacturing Engineering 261/338 (Q4) Environmental Engineering 138/173 (Q4) Mechanical Engineering 495/601 (Q4) |
| Scopus SNIP |
0,381 |
| 2020 | |
|---|---|
| Scimago H-index |
8 |
| Scimago Journal Rank |
0,197 |
| Scimago Quartile Score |
Environmental Engineering Q4 Industrial and Manufacturing Engineering Q3 Mechanical Engineering Q4 |
| Scopus Cite Score |
33/69=0,5 |
| Scopus Cite Score Rank |
Environmental Engineering 126/146 (Q4) Industrial and Manufacturing Engineering 269/336 (Q3) Mechanical Engineering 512/596 (Q4) |
| Scopus SNIP |
0,211 |
| Scopus Cites |
53 |
| Scopus Documents |
41 |
| Days from submission to acceptance | 122 |
| Days from acceptance to publication | 40 |
| Acceptance rate | 86% |
| 2019 | |
|---|---|
| Scimago H-index |
6 |
| Scimago Journal Rank |
0,123 |
| Scimago Quartile Score |
Environmental Engineering Q4 Industrial and Manufacturing Engineering Q4 Mechanical Engineering Q4 |
| Scopus Cite Score |
18/33=0,5 |
| Scopus Cite Score Rank |
Environmental Engineering 108/132 (Q4) Industrial and Manufacturing Engineering 242/340 (Q3) Mechanical Engineering 481/585 (Q4) |
| Scopus SNIP |
0,211 |
| Scopus Cites |
13 |
| Scopus Documents |
5 |
| Progress in Agricultural Engineering Sciences | |
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