Assessments of the relationships between crop productivity and climate change rely upon a combination of modelling and measurement. As part of this review, this relationship is discussed in the context of crop and climate simulation. Methods for linking these two types of models are reviewed, with a primary focus on large-area crop modelling techniques. Recent progress in simulating the impacts...

Crop protection is a key activity for farmers. There is a need to improve the practice and use less chemical pesticides. We hypothesized that farmers may be overwhelmed by the amount of data available. Therefore we proposed the concept of crop protection decision workflow system (CPDeWS) to guide them in interpreting the information in tactical adjustments of treatment decisions. We provide her...

The role acquired by modelling in plant sciences includes integration of knowledge, exploration of the behaviour of the plant system beyond the range of conditions covered experimentally and decision support. The purpose of the model determines its structure. Initially process-based models (PBM) were developed separately from structural (or: architectural or morphological) plant models (SPM). C...

H Harvest index (HI), ratio of seed yield to aboveground dry matter, is a very important parameter for estimating seed yield in several crop models. In this study, the importance, definition, variability and estimation methods of HI in crop models were discussed. HI estimation methods are categorized into two groups including: (i) complex methods that estimate HI from the beginning of seed gro...

Efficient irrigation water management requires a good quantification of evapotranspiration. The precise estimation of water requirement of crop is very important factor in the application of irrigation design and scheduling. Water relation model are essential component of all crop model because of critical role of water status has in determining growth, productivity and produce quality. Irrigat...

Groundnut (Arachis hypogaea L.) is an important oilseed crop grown in our country. Majority of crop is under rainfed conditions and as a post rainy season (Rabi) crop in Andhra Pradesh. Several models are available to predict the phenology, growth and yield of groundnut crop. However, no precise models are available to validate the effects of moisture stress on groundnut and their subsequent im...

Preventing a pest population from damaging an agricultural crop and, at the same time, preventing the development of pesticide resistance is a major challenge in crop protection. Understanding how farming practices and environmental factors interact with pest characteristics to influence the spread of resistance is a difficult and complex task. It is extremely challenging to investigate such in...

Crop models are ideally suited to quantify existing climatic risks. However, they require historic climate data as input. While daily temperature and rainfall data are often available, the lack of observed solar radiation (Rs) data severely limits sitespecific crop modelling. The objective of this study was to estimate Rs based on air temperature solar radiation models and to quantify the propa...