Regional Initiatives in Support of Surveillance in East Africa: The East Africa Integrated Disease Surveillance Network (EAIDSNet) Experience.

The East African Integrated Disease Surveillance Network (EAIDSNet) was formed in response to a growing frequency of cross-border malaria outbreaks in the 1990s and a growing recognition that fragmented disease interventions, coupled with weak laboratory capacity, were making it difficult to respond in a timely manner to the outbreaks of malaria and other infectious diseases. The East Africa Community (EAC) partner states, with financial support from the Rockefeller Foundation, established EAIDSNet in 2000 to develop and strengthen the communication channels necessary for integrated cross-border disease surveillance and control efforts. The objective of this paper is to review the regional EAIDSNet initiative and highlight achievements and challenges in its implementation. Major accomplishments of EAIDSNet include influencing the establishment of a Department of Health within the EAC Secretariat to support a regional health agenda; successfully completing a regional field simulation exercise in pandemic influenza preparedness; and piloting a web-based portal for linking animal and human health disease surveillance. The strategic direction of EAIDSNet was shaped, in part, by lessons learned following a visit to the more established Mekong Basin Disease Surveillance (MBDS) regional network. Looking to the future, EAIDSNet is collaborating with the East, Central and Southern Africa Health Community (ECSA-HC), EAC partner states, and the World Health Organization to implement the World Bank-funded East Africa Public Health Laboratory Networking Project (EAPHLNP). The network has also begun lobbying East African countries for funding to support EAIDSNet activities

A Farm Management Information System With Task-Specific, Collaborative Mobile Apps And Cloud Storage Services

Modern production agriculture is beginning to advance beyond deterministic, scheduled operations between relatively few people to larger scale, information-driven efficiency in order to respond to the challenges of field variability and meet the needs of a growing population. Since no two farms are the same with respect to information and management structure, a specialized farm management information system (FMIS) which is tailored to the realities on the ground of individual farms is likely to be more effective than generalized FMIS available today. This thesis presents the design of a FMIS using proven user-centered design principles. This approach resulted in the creation of the OpenAgToolkit (OpenATK), and a suite of task-specific, collaborative Android apps. The OpenATK system architecture enabled apps to share data between apps on a device with shared local databases, and across devices on the farm using Trello application programming interface (API). Five Android apps, Rock App, Tillage App, Trello Sync App, Field Notebook App, and Planting App, were developed in the proposed architecture. Other apps such as the Anhydrous App, and Spraying App were discussed with respect to their role in the OpenATK FMIS. The OpenATK approach proved to be technically viable with current, consumer-grade technologies including free cloud storage, Wi-Fi, and task-specific, collaborative Android apps running on tablet devices. The Tillage and Trello Sync Apps were used to generate artificial records for one year on a 404 ha (1,000 acre) farm to evaluate data storage needs. The total amount of data generated for the six field operations on the 13 fields was 260 kilobytes. Four OpenATK Apps were evaluated individually by four evaluators using the personal interview procedure for interface usability. The heuristic evaluation method was an appropriate evaluation method for the goals of this project as it enabled the observer to easily identify two critical interface usability problems: the long-hold method to move rock marker icons on the map and the method to draw field boundaries. Solutions to improve the usability problems were proposed, and recommendations were given for future research

The Digitalisation of African Agriculture Report 2018-2019

An inclusive, digitally-enabled agricultural transformation could help achieve meaningful livelihood improvements for Africa’s smallholder farmers and pastoralists. It could drive greater engagement in agriculture from women and youth and create employment opportunities along the value chain. At CTA we staked a claim on this power of digitalisation to more systematically transform agriculture early on. Digitalisation, focusing on not individual ICTs but the application of these technologies to entire value chains, is a theme that cuts across all of our work. In youth entrepreneurship, we are fostering a new breed of young ICT ‘agripreneurs’. In climate-smart agriculture multiple projects provide information that can help towards building resilience for smallholder farmers. And in women empowerment we are supporting digital platforms to drive greater inclusion for women entrepreneurs in agricultural value chains

Strengthening Food Security through Technologies

Securing food for 1.35 billion Indians and doubling the income of farmers by 2022, as stated by the government, are challenging tasks. India’s performance is below average in all three aspects of food security: availability, affordability, and quality and safety. It is an irony that the nation with largest cultivable land in the world (142 million ha) is facing food insecurity in spite of wide agro-ecoregions that enable cultivation of land even for three seasons in the large area. A large population (58%) depends on agriculture for its livelihood but the contribution of this sector to country's gross domestic product (GDP) has declined continuously since 1950 and was 15% in 2018. Although, the country has transformed itself from dependency on imports to selfsufficiency still the challenge is to remove the farm distress in the country. Current farmers’ field yields are lower by two to four folds than the achievable potential. In addition, the value realisation from the market is 30 to 35% only. This is because 59 % of the farmers in India do not get essential information from any agency. The major hurdles for achieving the goals set by the government are low investment in agricultural technologies, low adoption of key technologies by the farmers largely due to lack of knowledge/information, poor physical infrastructure, and involvement of large number of intermediaries in the value chains. Lack of awareness among farmers about good agricultural management practices is a key factor for stagnant productivity levels. The mind-set of all actors involved in agriculture needs to change so that they work collectively as a team instead of working independently in silos if the agrarian situation is to be transformed

Commercialisation of precision agriculture technologies in the macadamia industry

A prototype vision-based yield monitor has been developed for the macadamia industry. The system estimates yield for individual trees by detecting nuts and their harvested location. The technology was developed by the National Centre for Engineering in Agriculture, University of Southern Queensland for the purpose of reducing labour and costs in varietal assessment trials where yield for individual trees are required to be measured to indicate tree performance. The project was commissioned by Horticulture Australia Limited

Evidence in Practice – A Pilot Study Leveraging Companion Animal and Equine Health Data from Primary Care Veterinary Clinics in New Zealand

Veterinary practitioners have extensive knowledge of animal health from their day-to-day observations of clinical patients. There have been several recent initiatives to capture these data from electronic medical records for use in national surveillance systems and clinical research. In response, an approach to surveillance has been evolving that leverages existing computerized veterinary practice management systems to capture animal health data recorded by veterinarians. Work in the United Kingdom within the VetCompass program utilizes routinely recorded clinical data with the addition of further standardized fields. The current study describes a prototype system that was developed based on this approach. In a 4-week pilot study in New Zealand, clinical data on presentation reasons and diagnoses from a total of 344 patient consults were extracted from two veterinary clinics into a dedicated database and analyzed at the population level. New Zealand companion animal and equine veterinary practitioners were engaged to test the feasibility of this national practice-based health information and data system. Strategies to ensure continued engagement and submission of quality data by participating veterinarians were identified, as were important considerations for transitioning the pilot program to a sustainable large-scale and multi-species surveillance system that has the capacity to securely manage big data. The results further emphasized the need for a high degree of usability and smart interface design to make such a system work effectively in practice. The geospatial integration of data from multiple clinical practices into a common operating picture can be used to establish the baseline incidence of disease in New Zealand companion animal and equine populations, detect unusual trends that may indicate an emerging disease threat or welfare issue, improve the management of endemic and exotic infectious diseases, and support research activities. This pilot project is an important step toward developing a national surveillance system for companion animals and equines that moves beyond emerging infectious disease detection to provide important animal health information that can be used by a wide range of stakeholder groups, including participating veterinary practices

NATIONAL "E-EXTENSION" PROGRAMS: FEASIBILITY AND STRUCTURE

Illinois agriculture and natural resource e-Extension programs have exceeded expectations. National e-Extension programs will also succeed given they explicitly help clients make decisions, make available user-friendly decision tools and data, use GIS, reward the programs' interdisciplinary teams, and use the web for seamless integration across states.Teaching/Communication/Extension/Profession,