Shokr, M. (2020). Evaluation of Optimum Cropping Systems and Identify Soil Limiting Factors for Improvement of Agriculture Management by Spatial Modeling تقییم النظم المثلى لزراعة المحاصیل وتحدید العوامل المحددة بالتربة لتحسین الإدارة الزراعیة من خلال النمذجة المکانیة. Journal of Soil Sciences and Agricultural Engineering, 11(10), 575-584. doi: 10.21608/jssae.2020.124997
Mohamed Shokr. "Evaluation of Optimum Cropping Systems and Identify Soil Limiting Factors for Improvement of Agriculture Management by Spatial Modeling تقییم النظم المثلى لزراعة المحاصیل وتحدید العوامل المحددة بالتربة لتحسین الإدارة الزراعیة من خلال النمذجة المکانیة". Journal of Soil Sciences and Agricultural Engineering, 11, 10, 2020, 575-584. doi: 10.21608/jssae.2020.124997
Shokr, M. (2020). 'Evaluation of Optimum Cropping Systems and Identify Soil Limiting Factors for Improvement of Agriculture Management by Spatial Modeling تقییم النظم المثلى لزراعة المحاصیل وتحدید العوامل المحددة بالتربة لتحسین الإدارة الزراعیة من خلال النمذجة المکانیة', Journal of Soil Sciences and Agricultural Engineering, 11(10), pp. 575-584. doi: 10.21608/jssae.2020.124997
Shokr, M. Evaluation of Optimum Cropping Systems and Identify Soil Limiting Factors for Improvement of Agriculture Management by Spatial Modeling تقییم النظم المثلى لزراعة المحاصیل وتحدید العوامل المحددة بالتربة لتحسین الإدارة الزراعیة من خلال النمذجة المکانیة. Journal of Soil Sciences and Agricultural Engineering, 2020; 11(10): 575-584. doi: 10.21608/jssae.2020.124997
Evaluation of Optimum Cropping Systems and Identify Soil Limiting Factors for Improvement of Agriculture Management by Spatial Modeling تقییم النظم المثلى لزراعة المحاصیل وتحدید العوامل المحددة بالتربة لتحسین الإدارة الزراعیة من خلال النمذجة المکانیة
Rice is the main source of calories and protein for about half of world population and also considers one of the most vital bases of employment and income for people in villages. This research presents a case study around Manzala lake, Egypt to model and produce high accuracy maps of land suitability for rice. The proposed model was used to assessment land suitability under the current situation (CS) and optimal scenario (OS). The results under CS showed that about 26% of total area is fall within the moderately suitable class and marginally suitable class (74%) class. Managing options relied on the CS assessment were projected to reduce some soil restriction factors, a fixed values were 2 dS/m for salinity, 7.8 for pH and 4 % for CaCO3.Under OS scenario showed very good results, as all of study area covered by moderately suitable compared with 26% of study area under CS. The results showed the significance of appropriate management to achieve outstand change in soil suitability and reach to agriculture sustainability.
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