Showing papers in "Agricultural Systems in 2019"

TL;DR: In this paper, the authors define resilience of a farming system as its ability to ensure the provision of the system functions in the face of increasingly complex and accumulating economic, social, environmental and institutional shocks and stresses, through capacities of robustness, adaptability and transformability.

TL;DR: This paper provides an updated description of the WOFOST model and reflects on the lessons learned over the last 25 years, including issues like system performance, model sensitivity, spatial model setup, parameterization and calibration approaches as well as software implementation and version management.

TL;DR: This paper provides an overview of the eight main global and regional scale agricultural monitoring systems currently in operation and compares them based on the input data and models used, the outputs produced and other characteristics such as the role of the analyst, their interaction with other systems and the geographical scale at which they operate.

TL;DR: In this paper, the authors highlight the role of agricultural research, viewed broadly as farm technology as well as research pertaining to all aspects of input and output value chains, and analyze the transformation in terms of these value chains' structure and conduct, and the effects of changes in those on its performance.

TL;DR: In this paper, the impact of climate change on future land suitability and how this can be addressed or integrated into ALSA methods is discussed, and the authors emphasize that incorporating current and future climate change projections in ALSA is the way forward for sustainable or optimum agriculture and food security.

TL;DR: In this article, three machine learning methods, i.e. bias-corrected random forest, support vector machine, and multi-layer perceptron neural network, were adopted as the regression models in this procedure.

TL;DR: In this paper, the authors conducted surveys and visits of farms, ranches and feedlots throughout seven regions (Northeast, Southeast, Midwest, Northern Plains, Southern Plains, Northwest and Southwest) to determine common practices and characteristics of cattle production.

TL;DR: In this article, a linear regression is used as a screening tool to quantify the relationship between each predictor and the yield residuals from the trend throughout the crop cycle for 168 country/crop combinations.

TL;DR: The new early warning decision support system ASAP (Anomaly hot Spots of Agricultural Production) builds on the experience of the MARS crop monitoring activities for food insecure areas and aims at providing timely information about possible crop production anomalies.

TL;DR: The Food and Agriculture Organization estimates that more than 800 million people engage in urban agriculture and produce more than 15% of the world's food as discussed by the authors, which has been accompanied by an increase in media coverage, including that urban agriculture can decrease greenhouse emissions, "climate proof" farms, help solve food security for growing urban populations and provide chemical free food with no risk of pests and diseases.

TL;DR: In this paper, the potentials of agriculture in promoting an integrated development in a regional rural economy, through capturing and recording its interconnections with other sectors of economic activity, was examined.

TL;DR: In this paper, the impact of rainfall-deficit and heat-stress on agricultural productivity was assessed using a dynamic panel-data approach and the effectiveness of crop diversification in mitigating their adverse effects was evaluated.

TL;DR: In this article, the MARS crop yield forecasting system (MCYFS) for winter soft wheat (Triticum aestivum) in Europe, based on the WOFOST crop simulation model, by introducing autumn sowing dates, realistic soil moisture initialization, adding vernalization requirements and photoperiodicity, and phenology calibration.

TL;DR: This paper argues that two major problems undermine efforts to achieve scale in development projects and presents a number of frameworks that guide users to assess the scalability of innovations, design for scale from the onset of projects, and systematically think through key elements, ingredients, or success factors.

TL;DR: In this paper, a more detailed and extensive impact dataset was used to assess the regional relationship between drought impacts occurrence in British agriculture and two of the most commonly used drought indices (SPI and SPEI).

TL;DR: In this paper, the authors provide a systematic overview of 12 index insurance products put into practice for grasslands in Europe and North America and present prevailing findings that are important for further research and insurance practitioners.

TL;DR: In this paper, the authors investigated the adoption of three practices related to pond management: water quality management, feed inputs, and disease control practices in order to mitigate the risk of disease outbreak in the pond.

TL;DR: In this article, the implementation of Good Agricultural Practices (GAP) among seven types of independent smallholders in Rokan Hulu regency, Riau province, was investigated.

TL;DR: Three LCIS-DSS tools have been evaluated, in terms of their ability to support the farmer in irrigation management, in a real applicative case study on maize grown on Andosols in a private farm in southern Italy in the 2018 season and shown that all three approaches are able to realise the maximum obtainable maize production.

TL;DR: In this article, the authors present a framework to prioritize locally suitable climate-smart agricultural interventions and implementation suitability assessments with key stakeholders: state and district agriculture departments, extension offices, agriculture research institutions, NGOs and donor agencies, private sector and farmers.

TL;DR: In this paper, the authors investigated the present and future (until 2100) patterns of productivity of three main rain-fed crops in the catchment (wheat Triticum L., rice Oryza L., and maize Zea Mais L.).

TL;DR: In this article, the authors investigated the contribution of systems thinking as a conceptual approach and complex adaptive system (CAS) attributes as a framework for analysis of climate-smart agriculture (CSA) and tested new approaches to support scaling-up of sustainable food production.

TL;DR: In this article, the authors quantified spatial risks to global agriculture in 1.5 and 2.5°C warmer worlds and found that the risks of simultaneous crop failure in multiple breadbaskets are investigated.

TL;DR: In this article, the effect of tillage and crop residue management on runoff, soil loss and wheat (Triticum aestivum L.) yield over three years (2009-2011).

TL;DR: In this article, the authors present an aquaponics-sizing simulator based on deterministic mathematical models and thus transferrable to various circumstances with simple parameterisation, including HP, greenhouse construction and physics as well as a very detailed plant energy and growth model with a model for a multi-loop aquaponic system including distillation technologies and sumps.

TL;DR: While crop yield forecasts tend to improve in a given year, in recent years, there is no evidence of structural improvements that carry-over from year-to-year, which underlines that renewed efforts to improve operational crop yield forecasting are needed.

TL;DR: In this article, the authors developed and applied a bio-economic modelling approach to simulate how farmers and agricultural systems react to a potential ban of glyphosate and eventually of all herbicides.

TL;DR: The case of the Yao people in northern Vietnam supports the argument that if indigenous knowledge were better integrated into adaptation planning and policies, its conservation and application would enhance resiliency to climate change in indigenous communities and beyond as mentioned in this paper.

TL;DR: This is the first study of Tomato yellow leaf curl virus (TYLCV) global distribution, focusing on the risk of this disease in areas projected to be suitable for open field tomato (Solanum lycopersicum) and for whitefly (Bemisia tabaci - biotypes B and Q).

TL;DR: This paper used process-based biophysical modelling to identify the traits of rain-fed wheat ideotypes and suitable sowing dates needed to adapt to future climate change in south-eastern Australia.