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.
This paper is a reflection on a research project that defied the conventional technology transfer approach and adopted an approach based on innovation system principles to address fodder scarcity. Fodder scarcity in the project was conceptualized not as lack of technical capacity, but as lack of innovation capacity. This project tried to enhance innovation capacity by promoting appropriate configurations of stakeholders. However, translating this theory and principles into action was fraught with numerous challenges.
This is a chapter of the book Innovation platforms for agricultural development edited by Iddo Dror, Jean-Joseph Cadilhon, Marc Schut, Michael Misiko and Shreya Maheshwari.
Depuis une dizaine d’années, SOS Faim développe avec ses partenaires latino-américains, une nouvelle stratégie pour endiguer la pauvreté rurale : le développement territorial rural (DTR). On peut définir le DTR comme étant une dynamique d’animation et de concertation entre acteurs publics et privés (entre autres les Organisations Paysannes) sur un territoire donné, en vue d’améliorer durablement les conditions économiques et sociales de sa population.
This guide is intended to assist facilitators in conducting a workshop with Extension and Advisory Service (EAS) providers for assessing their capacity needs. This guide has been compiled by the Centre for Research on Innovation and Science Policy (CRISP) for AESA with the assistance of a research grant from the Global Forum for Rural Advisory Services (GFRAS).
To enhance integrated rainwater management in crop-livestock systems in the Volta basin of Burkina Faso, innovation platforms (IP) comprising of multiple stakeholders were established in the districts of Koubri and Ouahigouya. Quarterly IP meetings were organized to collectively identify and prioritize constraints and opportunities, and to design and implement strategies to address them. IP represents an example of putting the agricultural innovations systems’ perspective into practice.
This white paper is intended to summarize the key insights gleaned from prior work applying information and communication technologies (ICTs) in support of agriculture and food systems, identifying approaches and opportunities that hold promise for enhancing global food security, and to identify important knowledge gaps that remain, offering guidance for new work that investigates how to apply information and communication technologies in agriculture.
This chapter presents an analytic framework to identify agricultural innovations that are sustainable and suitable for the poorest and most vulnerable parts of the population. The framework contains a set of tools to collect and evaluate information on appropriate innovations based on relevant criteria. It considers the dimensions of environmental resilience, economic viability, and social sustainability, as well as technical sustainability considering important properties of the innovation itself.
TAP and its partners carried out regional surveys in Asia, Africa and Central America to assess priorities, capacities and needs in national agricultural innovation systems. This document provides a Regional synthesis report on capacity needs assessment for agricultural innovation in Africa. FARA was selected as Recipient Organization by FAO to facilitate TAP implementation in Africa. This is mainly due to its position as the umbrella organization bringing together and forming coalitions of major regional stakeholders in agricultural research and development.
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.