Sentence examples for farm decision from inspiring English sources

Yet the DSS has yet to significantly colonise farm decision making practice.

Establishing a sustainable bioenergy industry requires considering the role of biological control in farm decision making.

The paper presents a viable design of the system supported by a working prototype and a set of reports for farm decision makers.

As such they complement the predominant "top-down" approaches to the quantification of yield gaps and are relevant to individual farm decision making.

While certain assumptions on the behavior of farm families can be made based on the survey an ex-post analysis on the impact of the Affordable Care Act on farm decision making is out of scope of this paper.

Hence, while a standard definition of 'marginal' land does not exist, within the context of bioenergy production, the approach of considering agricultural land grades 3 5 as appropriate for bioenergy crops (Lovett et al., 2014) highlights the need to understand farm decision making within the livestock sector.

This paper describes an agent-based software package, called Mathematical Programming-based Multi Agent Systems (MP-MAS), which builds on a tradition of using constrained optimization to simulate farm decision-making in agricultural systems.

Furthermore, contracts are also accused of eroding the autonomy/flexibility of farmers in making farm decisions (Gillespie and Eidman, 1998; Key, 2004).

Chavas, et al. ([2005]) pointed out that examples of jointness in farm and off-farm activities include skills acquired in non-farm employment that improve farm management, and non-farm income that reduces the adverse effects of credit market imperfection on farm decisions.

One example, Farmlogs, a Y Combinator alum that recently raised a $10 million Series B. The company includes data related to water for farms in its business intelligence software, but its software focuses on a broader set of farm decisions that include water use.

This makes decisions at the farm-level extremely complex, as especially in such perennial crops, strategic ('what to plant'withith which technology' and 'how much area of each activity', i.e. the final design) and tactical ('when, what and how to plant in time', the pathway to the planned farm) decisions have a long-term effect.