Land Suitability Assessment for Wheat Production Using Analytical Hierarchy Process and Parametric Method in Babylon Province

Abstract

This study was carried out to show the extent to which the land is productive due to the effect that climatic changes and the increase in population growth are the reasons that led to an increase in the demand for food, especially in developing countries. Therefore, a scientific way must assess the land suitability for growing crops. This research aimed to provide an integrated approach to the process of analyzing the suitability of agricultural lands for crop growth. Wheat in the Nile region of Babylon Governorate, was studied using the analytical hierarchy model (AHP) and compared with the parametric method and the actual crop in the field, as twelve soil criteria were determined (electrical conductivity, soil interaction, cation exchange capacity, exchangeable sodium ratio, soil texture, lime, gypsum, organic carbon, drainage, soil depth, slope, flooding) and three criteria were added in the AHP method due to their importance in Iraqi soils, which are (total nitrogen, availability phosphorus, crop variety). The results were extracted and showed that all the results of the study using the parametric method within the very unsuitable class for cultivation, N2, 72.5%, with an area of 37,734.07 hectares, and the unsuitable class, N1, 27.5%, with an area of 14,312.92 hectares, either by using the method. According to the analytical hierarchy process and giving varying importance to the soil criteria above, it was found that 37.5% are very suitable S1 with an area of 19517.62 hectares, 42.5% suitable for agriculture S2 with an area of 22119.97 hectares, and 20% moderately suitable S3 with an area of 10409.4 hectares. These results were similar to the agricultural reality of the regions under study.

Safety Evaluation Method for Submarine Pipelines Based on a Radial Basis Neural Network

“…In addition, as the evaluation indicators increase, the order also increases, making it relatively difficult to compare the indicators in pairs and challenging to pass the consistency test. Therefore, 1 to 9 are generally chosen to illustrate their relative importance [23]. The specific analysis flowchart is shown in Figure 1.…”

Application of Analytic Hierarchy Process in Mineral Prospecting Prediction Based on an Integrated Geology-Aerogeophysics-Geochemistry Model

“…Saaty, an American operations researcher and professor at the University of Pittsburgh, in the early 1970s [17]. This method can digitize personal experience and thinking, realizing a combination of qualitative and quantitative methods, and has been widely applied in various fields [18][19][20][21][22][23][24][25][26][27][28][29][30][31]. In this study, the AHP was employed to break down mineralization prediction problems into several ore-controlling factors that influence the mineralization probability (such as known geological, geophysical, and geochemical characteristics) and establish an objective hierarchical analysis model for mineral exploration.…”

Development of a parametric-based Analytical Hierarchy Process (AHP) utilizing Geographic Information Systems (GIS) for wheat land suitability evaluation

“…A comparison between the two approaches revealed that their land suitability evaluation was highly correlated in a selected area in Northeast of Iran (Gholizadeh et al, 2020). On the contrary, various studies revealed that AHP had higher accuracy compared to parametric methods when compared to field observations (Mohammed and Suliman, 2023).The present study aimed to develop and evaluate an accurate land suitability approach for wheat in a selected area in El-Beheira governorate, Egypt, by integrating AHP, parametric methods and GIS.…”