Estimates of the response of crops to climate change rarely quantify the uncertainty inherent in the simulation of both climate and crops. We present a crop simulation ensemble for a location in India, perturbing the response of both crop and climate under both baseline (12 720 simulations) and doubled-CO2 (171 720 simulations) climates. Some simulations used parameter values representing genot...

Composing application with plug & play (P&P) agriculture-crop business component on the domain-agriculture-crops software architecture (DAcSA) is an ideal implementation mechanism to develop the domain-agriculture-crop applied system. A black and white box framework for the adaptive DAcSA is built based on the agriculture-crop business component and hotspot subsystem. According to the domain-ag...

A precise prediction of the yield losses inflicted by weeds is the basis of decisions in weed management. Hitherto, only rough estimates, which neglect the specific production situation, have been available for vegetable crops. In this study a simple simulation model was developed to estimate yield loss by radiation competition as a function of environmental variables. In the model, the distrib...

In this paper we refer to the gene-to-phenotype modeling challenge as the GP problem. Integrating information across levels of organization within a genotype-environment system is a major challenge in computational biology. However, resolving the GP problem is a fundamental requirement if we are to understand and predict phenotypes given knowledge of the genome and model dynamic properties of b...

because of the scarcity of in situ measurements, estimation of soil temperature by other means is very indispensable, as for irrigation management and scheduling when in different field conditions. so far, many regression models have been developed for an estimation of soil temperature, using meteorological data under bare soil. throughout this study, the performance of coup simulation model an...

In this research, the performance of satellite rainfall estimates (SREs) for crop growth simulation was investigated. Rainfall products selected were CHIRPS 2.0, CMORPH 1.0, MSWEP 2.2, and RFE 2.0. In-situ from 20 stations within Lake Victoria basin in Kenya served as reference. evaluated onset days, depths, dry spells, occurrence four stages. Assessment on a daily time step period 2012–2018 po...

Leaf area index (LAI) is a significant biophysical variable in the models of hydrology, climatology and crop growth. Rapid monitoring of LAI is critical in modern precision agriculture. Remote sensing (RS) on satellite, aerial and unmanned aerial vehicles (UAVs) has become a popular technique in monitoring crop LAI. Among them, UAVs are highly attractive to researchers and agriculturists. Howev...

Interpretation of sugarcane field records can bc greatly improved by linking them to a Geographic Information System database, which allows trends to be mapped and queries to be performed. Linking a Geographic Information System to a crop or irrigation model allows simulation of crop yield and irrigation water use efficiency for each field, based on ficld informatton. The Arcview Geographic Inf...