Developing decision support systems (DSS) for weed management

Developing decision support systems (DSS) for weed managementThe objectives of this chapter are to review what is achievable in DSS designed specifically for weed management, identify the obstacles in creating more effective DSS, and discuss how to increase adoption by farmers. DSS can model crop yield losses due to weed competition and set thresholds for intervention which can significantly reduce herbicide use. Developing DSSs able to prevent the spread of herbicide resistant weeds is a challenging objective

we describe the characteristics of some of the key diseases of cassava

By talking to audiences and capturing pleasures and disappointments

and Champagne

approaches the Ottoman monuments of Greece as the heritage of a historical period that lends itself to multiple readings

including disease screening programmes

In examining the nature of the interaction between institutional politics as represented by the Congress and popular politics in Bengal between 1919 and 1939

and executions in late medieval Paris

It is therefore important to understand the many factors that can affect pork colour and texture

which is part of a series of excavation reports from the ancient site of Tell Taannek

non-destructive technologies is important for quantifying and evaluating the challenge of quality management of fruit in post-harvest systems

Soil erodibility is the susceptibility of soil to the erosive forces of rainsplash

the revolution itself