000			02672nab|a22003497a|4500
001			64628
003			MX-TxCIM
005			20211203225732.0
008			200910s2021||||xxk|||p|op||||00||0|eng|d
022			_a1755-1307
022			_a1755-1315 (Online)
024	8		_ahttps://doi.org/10.1088/1755-1315/779/1/012135
040			_aMX-TxCIM
041			_aeng
100	1		_aSbahi, M.K. _925493
245	1	0	_aEvaluation of the efficiency of circular wheat crop farms using GIS and remote sensing techniques
260			_aUnited Kingdom : _bIOP Publishing, _c2021.
500			_aPeer review
500			_aOpen Access
520			_aEvaluation of agricultural crop efficiency is one of the most important applications dealt with remote sensing (RS) science and geographic information systems (GIS) because of their economic importance and relevance to countries food security. Therefore, to know the locations of the farms and count the ones specialized in cultivating the wheat crop, the farms of the Ain al-Tamur Cultivation Division, which are famous as being the pivotal farms dependent on groundwater, were chosen as a study area in this research. The research tries to enumerate and estimate the areas cultivated with the wheat crop, which are difficult to access due to the large cultivated area and assess the quality of the crop simultaneously based on the indicators of remote sensing. Eleven satellite images of Landsat8 and Sentinel-2. They covered the entire agricultural seasons of the period from 01/10/2015 to 01/06/2016. Moreover, the GIS program, a spatial database was prepared, depending on the meteorological data of the Iraqi Ministry of Agriculture, and using the Cropwat program to calculate the germination evaluation of the crop. Infrared (IR) bands & Normalized Difference Vegetation Index (NDVI) maps and crop change detection maps created in addition to color maps representing farm areas and their quality. The research results showed good results in estimating areas and the quality of the crop grown with the technique of pivot sprinklers.
546			_aText in English
650		7	_2AGROVOC _91310 _aWheat
650		7	_2AGROVOC _95260 _aGeographical information systems
650		7	_2AGROVOC _91986 _aRemote sensing
650		7	_2AGROVOC _925494 _aGeomatics
650		7	_2AGROVOC _925495 _aLand classification
700	1		_925496 _aZiboon, A.R.T.
700	1		_925497 _aHassoon, K.I.
773	0		_tIOP Conference Series: Earth and Environmental Science _gv. 779, art. 012135 _dUnited Kingdom : IOP Publishing, 2021. _x1755-1307
856	4		_uhttps://doi.org/10.1088/1755-1315/779/1/012135 _yClick here to access online
942			_cJA _n0 _2ddc
999			_c64628 _d64620