Precision Agriculture in Denmark and China: A Comprehensive Comparative Review with Policy Implications for China

The global trend of a fast-growing population leading to a desperate need for food and an ultimate environmental degradation due to unsustainable agricultural practices calls for drastic measures. Precision Agriculture (PA), an approach that combines management, engineering, and information technology in agricultural production has the potential to address this global phenomenon. This paper reviewed the state of PA in Denmark and China. A comprehensive literature search was employed to first understand the general aspects that affect the adoption, motivation, and barriers to the adoption of PA, then acquire an insight into the state of PA between the two countries. Conclusions were drawn and recommendations made. It was observed that the rate of adoption by Chinese farmers is very low mainly due to the Chinese traditional small farm size and typically lack of motivation, awareness, and perceived quantifiable benefits to adopting PA. Contrary, PA in Denmark has been practiced for over 15 years and the adoption rate has since been magnificent. Most PA adopters have relatively large farms, mostly young, and have undergone formal training. The Danish farmers have adopted a wide range of PA Technologies in their diverse agricultural system and information on PA technologies and adoption trends has been made readily accessible. Though the initial high cost of using PA Technologies seems to be the most common and major barrier to adopt PA by both Chinese and Danish farmers, the state of PA in Denmark is worthy of emulating by China. Keywords: Precision Agriculture (PA) technology, farmer, adoption, motivation, barrier, Denmark, China. DOI: 10.7176/JRDM/76-06 Publication date:June 30th 2021

Agricultural Innovation and Sustainable Development

This book deals with sustainable agriculture at a time of climate change. It seeks to identify a number of solutions to deal with the agricultural stresses caused by climate change. These range from the identification and cultivation of appropriate crop varieties and the adoption of climate adaptive agricultural practices. Significant sustainable agricultural innovation is required to deal with these challenges. Intellectual property rights (IPRs) may be of crucial importance for modern agriculture. They serve to make R&D in agriculture attractive, by encouraging investment in new technologies and generating tradeable assets. A number of the chapters of this book refer to the principal IPRs relevant to agricultural innovation, namely: (i) patents, which protect inventions; (ii) plant variety rights, which protect the breeding of new and distinct plant varieties; and (iii) trademarks and geographical indications, which facilitate the marketing of products by providing protection for the symbols of their manufacturing or geographic origin. The United Nations Climate Change Panel has urged the consideration of the agricultural practices of traditional communities and some of these practices particularly involving rice, banana, and brassica cultivation are explored in the book. This book is essential reading for officials of governments and international organizations concerned with sustainability, as well as scholars and students concerned with these subject

Review of the Returns to ACIAR's Bilateral R&D Investments

Research and Development/Tech Change/Emerging Technologies,

Can crop science really help us to produce more better quality food while reducing the world-wide environmental footprint of agriculture?

This paper reviews recent developments in crop science that can be the basis of a revolution in the global food system but it is also emphasized that such a revolution requires more than changes in food production and supply. We must more effectively feed a growing global population with a healthy diet while also defining and delivering the kinds of sustainable food systems that will minimise damage to our planet. There are exciting new developments in crop production biology but much existing crop science can be exploited to increase yields with the aid of a knowledge exchange (KE) framework requiring the use of new technology now available to most people across the globe. We discuss novel approaches at both the plant and the crop level that will enhance nutrient and water productivity and we also outline ways in which energy use and greenhouse gas (GHG) emissions can be reduced and labor shortages combatted. Exploitation of new biology and new engineering opportunities will require development of public-private partnerships and collaborations across the disciplines to allow us to move effectively from discovery science to practical application. It is also important that consumers contribute to the debate over proposed changes to food and farming and so effective KE mechanisms are required between all relevant communities

Assessing marginal abatement cost for greenhouse gas emissions from livestock production in China and Europe - accounting for uncertainties

Climate change is probably the most challenging threat to mankind. International agreements have acknowledged the fact that anthropogenic GHG emissions must be reduced significantly to adhere to a maximum global warming of 2°C. The livestock sector plays a key role in achieving this target as it is a significant source of GHG emissions. While the livestock sector offers significant GHG reduction potential, it is currently neglected in international and national mitigation efforts. Therefore, scientific research must guide mitigation policy decisions with evidence of cost-efficient abatement potential that can be achieved through various mitigation technologies. Marginal Abatement Cost Curves (MACC) are an analytical tool for informing policy makers about the cost-effectiveness (CE) of mitigation. MACCs provide a relatively clear representation of a complicated issue based on their graphical design that prioritises various mitigation options in terms of their CE of abatement and enables assessment of total GHG reduction under a budget constraint. However, developing a MACC involves considerable data collection, depends on various interdisciplinary information sources and the methodology is subject to several limitations. These factors can result in uncertainties in marginal abatement cost (MAC) results, the assessment of which is often neglected in MACC literature. This research shows the main GHG emission sources in livestock production and possible mitigation options to reduce GHG emissions from these sources. After elaborating the MACC methodology, advantages, disadvantages and limitation of the engineering MACC are shown. This allows understanding the relevance of assessing and reporting uncertainty of MACCs. Two engineering MACCs are developed that show the CE abatement potentials available in the Chinese livestock sector and European Union 15 (EU-15) dairy sector in 2020, with emphasis on dietary mitigation options. The requirement of assessing CE of abatement for individual mitigation options is highlighted by separate derivation of technical and economic abatement potential for the EU-15 dairy sector. For the Chinese MACC, a scenario analysis (SA) and for the European MACC, a Monte Carlo (MC) simulation are utilised to show the relevance of assessing uncertainty in MACCs. To provide further evidence, the overall range of CE estimates for eight mitigation options found in relevant MACC literature is presented. This allows the generation of probability distribution functions of CE for each mitigation option with kernel density estimation (KDE). The results from this study show the significance of livestock and dairy production related GHG emissions in China and Europe, respectively. In China, baseline GHG emissions of livestock production are projected to increase significantly, while these of the EU-15 dairy production are predicted to decrease by 2020. It was found that enteric fermentation is the largest GHG emission source from dairy production and should be focus of mitigation policies. Both case studies showed mitigation options that offer abatement potential at high CE. Priorities should be given to biomass gasification, breeding techniques and feed supplements as tea saponins and probiotics for the Chinese livestock sector, and to animal selection, reduced tillage and dietary probiotics for the EU-15 dairy sector. The scenario analysis reveals that mid-term projections for the Chinese livestock sector are varying strongly, and utilising key variables from different projections has a significant impact on MAC results which changes the ranking of the mitigation options. The MC simulation shows the contribution of some model inputs to the uncertainty of abatement at negative cost and a high model output uncertainty regarding measure’s CE for most mitigation options. However, the ranking of the mitigation options remains stable. The range of MAC estimates for 8 mitigation options in the agricultural sector is high and variables like ‘study quality’ or ‘study location’ do not change this. The KDE was further used to rank the mitigations options based on their probability of being reported as cost-negative and shows that measures affecting soil N2O and carbon sequestration are reported to be more cost-efficient as compared to measures focusing on manure management. Based on these finding, the impact of study designs on MAC estimates and lack of communication uncertainty in MACC literature are discussed. Uncertainties that are underpinning MACC results can have significant impacts on CE and abatement potentials. To increase utilisation of MACCs by knowledge users, MACC research must prioritise assessment, quantification and report of uncertainties, compare results within the scientific literature and publish data and assumption of the MACC transparently

Chapter 5: Food Security

The current food system (production, transport, processing, packaging, storage, retail, consumption, loss and waste) feeds the great majority of world population and supports the livelihoods of over 1 billion people. Since 1961, food supply per capita has increased more than 30%, accompanied by greater use of nitrogen fertilisers (increase of about 800%) and water resources for irrigation (increase of more than 100%). However, an estimated 821 million people are currently undernourished, 151 million children under five are stunted, 613 million women and girls aged 15 to 49 suffer from iron deficiency, and 2 billion adults are overweight or obese. The food system is under pressure from non-climate stressors (e.g., population and income growth, demand for animal-sourced products), and from climate change. These climate and non-climate stresses are impacting the four pillars of food security (availability, access, utilisation, and stability)

PROPOSED CONCEPTUAL FRAMEWORK FOR STUDYING NON-USERS RICE FARMERS' INTENTION TO USE COMMERCIAL BIOPESTICIDES PRODUCTS

Commercial biopesticide products have been developed for a long time in Indonesia, but until now the level of application is still relatively low. This paper aims to determine the factors that are expected to influence the intention of non-users rice farmers to use commercial biopesticide products. Furthermore, a conceptual framework of intention to use commercial biopesticide products is proposed. Based on the literature review of previous empirical studies in various contexts, this paper has explored the factors that influence the intention of using biopesticides. Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) is employed as the main theoretical basis in this study which can be extended with relevant constructs to the research context (extended UTAUT2). The proposed conceptual framework recommends that non-users rice farmers' intention to use commercial biopesticide products is expected to be influenced by variables namely performance expectancy, effort expectancy, social influence, facilitating condition, price value, perceived need, information publicity, and product marketing. This integrative conceptual framework is expected to have a theoretical contribution to understand the factors of non-users rice farmers’ intention to use commercial biopesticide products. In addition, it is beneficial for policymakers and managers to formulate and implement strategies to increase rice farmers' intention to use commercial biopesticide products

Theoretical framework and methods for the analysis of the adoption-diffusion of innovations in agriculture: a bibliometric review

The adoption and diffusion of innovations are essential for both the development of production processes and the improvement of agricultural environmental sustainability, at any stage of the value chain. In recent years, social scientists have studied the diffusion and adoption of agricultural innovations from different approaches, such as innovation diffusion theory, behavioral models, econometric models, social capital and social network analysis, among others. In this study we analyze the scientific literature through a bibliometric analysis based on co-citation networks, to explore the theoretical pillars and bibliographic coupling, with which we explore the current methodological research trends of the last 50 years. The conclusions drawn from this analysis are that in recent years agricultural researchers on adoption and diffusion have designed multivariate methods that combine diverse study approaches. This review contributes to a better understanding of theory and practice in the study of the adoption and diffusion of agricultural innovations