Innovation has a high potential for increasing productivity and farmers’ income,l and consequently reducing poverty and improving food security. However several tropic al countries lack the resources and capacities to suitably develop their agricultural innovation systems. To address this gap, the g20 established the tropical agriculture platform (tap), a multilateral dynamic facilitation mechanism, which fosters better coherence and greater impact of capacity development for agricultural innova tion systems in tropical countries.

Postharvest loss exacerbates the food insecurity and welfare loss of farming households in developing countries. This paper analyses the effect of improved storage, a climate-smart crop management technology, on household food and nutrition security, market participation and welfare using nationally representative data from Ethiopia. Endogenous switching regression models are employed to control for selection bias and unobserved heterogeneity.

This paper describes a remote monitoring system of the agricultural robot using Web application. We developed the system in order to make clear condition about robot combine and adequately manage agricultural task data. The system makes the combine data accumulated in database so that it can be seen from remote-situated PC.

The paper presents an efficient approach for the modelling of wire robots kinematic and dynamics considering the effects of structural elasticity. Using the simulation and animation system several potential applications in agriculture have been simulated and analysed. The paper discusses possible robot configurations, system dynamic constraints and limits, as well as reachable performance for typical large-span wire robot applications in agriculture.

The objective of this research was to explore the use of data information of a low-cost IMU to provide an attitude angle with acceptable accuracy for agricultural robot navigation. This work was an attempt to create attitude angle estimation system via sensor fusion method based on gyroscope and accelerometer in this low-cost IMU. The used algorithm processed and integrated the data from triple gyroscope and tri-axis accelerometer using a low-pass filter and Kalman filter. Under this algorithm, experiment data showed that the estimation precision was improved effectively.

There is a growing concern by governments, retailers and consumers about the safety and quality of food. Because products are resourced on a on a global scale it becomes important that the origin of the products as well as all the treatments during production can be traced and that the production methods can be verified as good agricultural practices (GAP). This also includes considerations for the environment and sustainability.

The field of precision agriculture increasingly utilize and develop robotics for various applications, many of which are dependent on high accuracy localization and attitude estimation. Special attention has been put towards full attitude estimation by low-cost sensors, in relation to the development of an autonomous field robot. Quaternions have been chosen due to its continuous nature, and with respect to applications in the pipeline with on other platforms.

The IAR4D concept has generated a large volume of success stories on many Innovation Platforms where it was implemented for the proof of concept and on the platforms of Complementary projects. It is noteworthy that in course of developing the IAR4D concept FARA engaged is series of trial efforts to arrive at a valid framework for the implementation of the IAR4D concept, the Innovation platform was developed from these thoughts and harmonization of knowledge and experience.

The goal is to improve capacity for joint innovation, and strengthen this capacity at partnership, organizational and institutional/policy level, through an iterative process with the different stakeholders involved i.e. action and reflection, consolidation of lessons learned and re-planning. Preparatory actions must be well coordinated to ensure success and continuity of the CDAIS project.”
 

Flyer on CDAIS in Angola: seeds cooperative, rural entrepreneurship and rice development.

"Many topics in the participatory training were eye openers. I have learned a good number of techniques that will help me not only in project activities but also in my personal life. And I believe that the acquired skills and knowledge will help me support effective collaboration and dynamic stakeholder networks and local agribusiness partnerships and will help to generate new knowledge by fostering collective learning and joint experimentation.”

Flyer on CDAIS in Bangladesh.