29 pages, Agent-based models are important tools for simulating farmers’ behaviour in response to changing environmental, economic or institutional conditions and policies. This article introduces an agent-based modelling approach that combines behavioural factors with standard bio-economic modelling of agricultural production. More specifically, our framework integrates the cumulative prospect theory and social interactions with constrained optimisation decisions in agricultural production. We apply our modelling approach to an exemplary bio-economic model on the assessment of weed control decisions. Results show the effects of heterogeneous farm decision-making and social networks on mechanical weed control and herbicide use. This framework provides a generic and conceptually sound approach to improve the scope for representing farmers’ decision-making and allows the simulation of their decisions and recent advances in behavioural economics to be aligned with existing bio-economic models of agricultural systems.
25 pages, The consumption of food production demand for quality of food and the environmental impact of agriculture have led to utilize the information and communication technology in the agricultural sector. The Internet of Things (IoT) has become a contemporary technology, which is evolving quickly in recent years and brings many benefits with it to modernize the agriculture. The scientific groups and research institutes are working to deliver clarifications and solutions for the use of IoT to address various aspects of agriculture. The focal point of this research is to present an SLR (Systematic Literature
Review) by collecting the valid and innovative research on IoT in agriculture which has been done during 2019 at School of System and Technology, University of Management and Technology, Lahore, Pakistan. This SLR has been conducted through research articles which were published in the prestigious venues from 2006 to 2019. In order to conduct this SLR concerned studies have been clustered into different classifications: type of the concerned research, empirical type, technological solutions for agriculture like monitoring, control, prediction, logistics and their sub-domains. Moreover, an IoT based framework of smart agriculture has been presented that indicate the current solutions of agricultural problems. The selected 80 research papers have been classified as per defined criteria. The findings of this research have been discussed in
detail and summarize the practice of IoT in agriculture.
5 pages, Resiliency to weather extremes is already a part of farming in the North Plains, but now climate change is adding new uncertainties. Engaging farmers on this often controversial topic can be challenging given the wide range of beliefs farmers hold about climate change. Scenario planning provides a framework for Extension and agricultural system stakeholders to come together using the latest climate science to discover robust adaptive management options, prioritize Extension programming needs, and provide an open forum for starting the discussion.
12 pages, One of the key questions that concerns policy makers, related to the long term planning of the EU's Common Agricultural Policy (CAP), is the form of agriculture that farmers intend to follow in the future. In order to highlight that question, a sample of producers from the region of Eastern Macedonia and Thrace in Greece were surveyed and analyzed in order to identify and assess the factors that influence farmers’ adoption of organic, conventional or integrated agriculture systems. The paper methodologically applies double-valued logistic regressions, one for each form of agriculture, to the selected sample. Results indicate that producers' training and high awareness of CAP policies are positively correlated with the future adoption of organic farming systems, while the adoption of integrated agriculture depends on producers’ age as well as their positive or negative opinions regarding the conventional agricultural system.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: KerryByrnes2 Document Number: D01237
Notes:
Kerry J. Byrnes Collection, Office of Rural Development, Bureau for Science and Technology, Agency for International Development, 86 pages, This report hypothesizes that there is a large, untapped potential for farmer organizations to play a catalyst role in helping LDC small farmers to improve their access to and use of essential agri-support factors.
