Crop Modeling
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Recent papers in Crop Modeling
Sugarcane (Saccharum officinarum L.) is one of the most important crops in Brazil and its growth and development can be simulated through process-based models. The current study evaluated a model based on the decision support system for... more
The objective of this research was to develop a prognosis support system that provides users with predictions of the dates of the beginning and end of flowering stage and the honey potential yield of sunflower (Helianthus annuus L.)... more
This study was mainly aimed at determining the irrigation water requirement of wheat, cropping pattern in the area and effect of CRIWAR software as a modeling technique. Kura Local Government area of Kano State of Nigeria was used as... more
Weekly rainfall analysis of Kandhamal district during the period of 1965 to 2010 were taken for analysis purpose, the analysis is very much important for crop planning and analyzing the probability of occurrence of dry and wet periods.... more
In many less developed countries, there is a need to improve productivity and profitability of agricultural systems to improve rural livelihoods, particularly in areas where monocultural production has dominated the historical land use.... more
Models are built on the assumption that any given process and relation can be expressed in a formal mathematical statement(s) or equations, and they all can be interconnected to run iteratively. Development of crop models started first in... more
Crops exhibit known responses in their growth and development to local weather and climate that bear large impacts on crop productivity. Since recent decades, crop simulation models have been widely put to use in assessing the impacts of... more
Crop models are highly useful for simulating crop and soil processes in response to variations in climate and crop management. However, well estimated crop genetic coefficients are required. So the purpose of this study is to calibrate... more
Uno de los principales factores que afecta la calidad de la manzana es el punto de maduración en la cual es cosechada. Por esta razón, se desarrolla un modelo de optimización que incorpora este factor, para apoyar la planificación de las... more
Weekly rainfall analysis of Kandhamal district during the period of 1965 to 2010 were taken for analysis purpose, the analysis is very much important for crop planning and analyzing the probability of occurrence of dry and wet periods.... more
Predicting attainable yield under water-limiting conditions is an important goal in arid, semi-arid and drought-prone environments. To address this task, FAO has developed a model, AquaCrop, which simulates attainable yields of the major... more
Crop models may potentially explore alternative ways to improve agroecosystem resilience in arid regions of Middle East and North Africa. Mapping the outputs behavior as a function of the inputs and quantifying the uncertainty... more
New farming systems and management options are needed in South Asia as the intensive rice-wheat production system is set to become increasingly unsustainable under climate change. In the current study, six cropping systems... more
Ce devoir s’inscrit dans le cadre d’une meilleure assimilation du cours de logiciels et simulations des impacts des changements climatiques sur les cultures. Pour cela, des données de précipitations, de températures maximale et minimale... more
Climate change induced crop failure is becoming a more frequent phenomenon with large uncertainty as to the degree and character of future impacts. An overwhelming number of these impacts are projected to be within the tropical belt; an... more
Pesticides are the chemicals used to control the crop harms by killing the pests causing various diseases in crop plants, thereby playing vital role in yield and crop production. The ingredients of these chemical pesticides are not only... more
42. Krishnan P, B. Ramakrishnan, K. S. Rao and R N Dash (2009) Simulation studies to characterize the impact of climate change on crop production and to identify strategies for adaptation and mitigation. Book chapter In S.N. Singh (ed.),... more
Climate change and associated uncertainties have serious direct and indirect consequences for crop production and food security in agriculture-based developing regions. Long-term climate data analysis can identify climate risks and... more
Abstract: Crop growth and productivity are determined by a large number of weather, soil and management variables, which vary significantly across space. Remote Sensing (RS) data, acquired repetitively over agricultural land help in... more
The real wheat delivering nations on the planet are India, China, USA, France, Russia, Canada and Australia. Worldwide interest for wheat is developing at 1 percent for every year. Yield development and... more
A study aimed at generating wheat yield maps of farmer’s fields by using remote sensing (RS) inputs was undertaken during the rabi season of 1998-99 in six villages of Alipur Block of Delhi State. RS derived leaf area index (LAI) were... more
Numerous modelling efforts have focused on maize as it is an important cereal crop for both human consumption and livestock production. Crop simulation and multi-linear regressions models can be used to quantify the likely potential... more
Potato is the most popular root crop and plays a crucial role in human nutrition worldwide. However, farmers in Sri Lanka face many challenges throughout at different stages of potato production. This study intends to provide... more
The market for high-quality organic bread wheat (Triticum aestivum L.) is increasing in New England, USA, providing opportunities for organic dairy farmers to grow this alternative cash crop. Our objective was to determine the... more
The memoir summaraize, history, research, acievements, in plant physiology, crop groowth modeling , photosynthesis, and teaching...
Today’s Scenario is more or less like this. 1. Agricultural lands are used for industrial or mining or for land filling of Solid Wastes or for dwelling thus causing diminishing agricultural lands available. 2. Labour is becoming scarce... more
: Crop model calibration and validation is vital for establishing their credibility and ability in simulating crop growth and yield. A split–split plot design field experiment was carried out with sowing dates (SD1, SD2 and SD3); maize... more
Soil moisture is highly variable in space and time, and deficits (i.e., droughts) play an important role in modulating crop yields. Limited hydroclimate and yield data, however, hamper drought impact monitoring and assessment at the farm... more