Data-Driven Models for Canopy Temperature-Based Irrigation Scheduling

Comparing canopy temperature and leaf water potential as irrigation scheduling criteria of potato in water-saving irrigation strategies

Irrigation scheduling is important in irrigation water management. In this study, full (FI),deficit (DI) and partial root drying (PRD) irrigation strategies were applied in Agria and Ramospotato cultivars. Canopy temperature (CT) and leaf water potential (LWP) were assessed as thepotential tools for irrigation scheduling during the vegetative and productive growth stages.LWP varied between ca. ...

a new approach to credibility premium for zero-inflated poisson models for panel data

هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...

Data-Based Models for Global Temperature Variations

This paper presents two data-based models for the measured time series of global annual average tropospheric temperatures. One model is a smoothing spline fit designed to give an optimal separation of signal from noise. The other combines an optimal spline fit to the measured record of CO2 concentration in the atmosphere with a previously reported 70 year cycle in the temperatures. It assumes a...

Data - Driven Batch Scheduling

Crop Irrigation Scheduling via Simulation-Based Experimentation

Intraseasonal water allocation to a single crop has been studied extensively. Previous studies have emphasized the need to coordinate irrigation scheduling with several factors including economic and physical constraints, amount of soil moisture available at the time of irrigations, growth stage of the plant, interactive effects from previous and/or subsequent irrigation, and the effect, timing...