This study was aimed to investigate the effect of surface sprinkler and drip irrigation systems using a model AquaCrop, intervals, bio-organic fertilizers polymers in desert soils. Two field experiments were conducted during spring season 2020 at Karbala governorate. The experiment included three factors: 1-Irrigation system T1 T2, 2- Irrigation interval: every 2 days I1, 4 I2 6 I3, 3- Addition...

The application of crop models towards improved local scale prediction and precision management requires the identification description major factors influencing model performance. Such efforts are particularly important for dryland areas which face rapid population growth increasing constraints on water supplies. In this study, a global sensitivity analysis yield transpiration was performed 49...

با توجه به رشد بالای جمعیت در جهان و نیاز اطمینان از امنیت غذایی، افزایش تولید واحد سطح محصولات زراعی به‌منزلة راهبردی اساسی حل مسئلة تأمین غذا به‌شمار می‌رود. سوی دیگر، وجود محدودیت زیرکشت پایین‌بودن میانگین عملکرد برخی کشاورزی مانند گندم کشور، محصول می‌تواند راهکاری عملی پاسخ کشور محسوب شود. یکی مهم‌ترین بیماری‌های فوزاریوم است که، نقش پیش‌بینی این بیماری جلوگیری کاهش بهره‌وری محصول، مدل‌هایی...

One of the main causes having low crop efficiency in Peru is poor management water resources; which why objective this article to estimate amount irrigation required quinoa crops through a comparison between machine learning and AquaCrop models. For development study, meteorological data from province Jauja descriptive were processed simulation period was established June December 2020. From ca...

Abstract Background Climate change and increasing demand in non-agricultural sectors profoundly affect the availability quality of water resources for irrigated agriculture. The FAO AquaCrop simulation model provides a sound theoretical framework to investigate crop yield response environmental stress. This has successfully simulated growth as influenced by varying soil moisture environments cr...