This study identifies systemic problems in the New Zealand Agricultural Innovation System (AIS) in relation to the AIS capacity to enact a co-innovation approach, in which all relevant actors in the agricultural sector contribute to combined technological, social and institutional change. Systemic problems are factors that negatively influence the direction and speed of co-innovation and impede the development and functioning of innovation systems. The contribution in the paper is twofold.
Rural Advisory Services (RAS) are increasingly recognised as critical to agricultural and rural development. They provide rural communities with wide range of skills and knowledge and facilitate their interactions among the different actors to help them access support and services required for improving their livelihoods. Family Farmers are one of the important clients of RAS as they are the most predominant type of farmers worldwide.
Approved by TAP partners, the TAP Work Plan 2016 describes the activities to be carried out in 2016 to achieve TAP's objective of promoting more coherent and effective capacity development interventions for agricultural innovation.
In this paper the authors provide climate smart agriculture (CSA) planners and implementers at all levels with a generic framework for evaluating and prioritising potential interventions. This entails an iterative process of mapping out recommendation domains, assessing adoption potential and estimating impacts. Through examples, related to livestock production in sub-Saharan Africa, they demonstrate each of the steps and how they are interlinked. The framework is applicable in many different forms, scales and settings.
The aim of the book is to present contributions in theory, policy and practice to the science and policy of sustainable intensification by means of technological and institutional innovations in agriculture. The research insights re from Sub-Saharan Africa and South Asia. The purpose of this book is to be a reference for students, scholars and practitioners inthe field of science and policy for understanding and identifying agricultural productivity growth potentials in marginalized areas.
El presente documento fue elaborado en el Marco del Proyecto “Fortalecimiento de la gestión de recursos hídricos y sistemas de riego para productores de la agricultura familiar del Chaco de Paraguay, Argentina y Bolivia”, financiado con recursos del Fondo de Cooperación Técnica (FonCT) del IICA, incluye Fichas Descriptivas de seis aspectos tecnológicos (temáticos) que son de interés para efectos de difusión y transferencia tecnológica, en manejo de agua y riegos en la región del Chaco compartida por: Argentina, Bolivia y Paraguay.
This report provides a synthesis of all findings and information generated through a “stocktaking” process that involved a desk study of Prolinnova documents and evaluation reports, a questionnaire to 40 staff members of international organizations in agricultural research and development (ARD), self-assessment by the Country Platforms (CPs) and backstopping visits to five CPs. In 2014, the Prolinnova network saw a need to re-strategise in a changing context, and started this process by reviewing the activities it had undertaken and assessing its own functioning.
Agricultural education, research, and extension can contribute substantially to reducing rural poverty in the developing world. However, evidence suggests that their contributions are falling short in Sub-Saharan Africa. The entry of new actors, technologies, and market forces, when combined with new economic and demographic pressures, suggests the need for more innovative and less linear approaches to promoting a technological transformation of smallholder agriculture.
They were once the central element in state-funded research, but now the research bodies need to redefine their role as partners in the innovation process, responding more efficiently to the needs of society and businesses. In agriculture, the concept of innovation was dominated in the past by linear knowledge transfer in the form of new technologies that were essentially generated by public research (research institutes or universities), transferred to the agricultural extension services, and hence to the farmers for adoption.
Crop surface models (CSMs) representing plant height above ground level are a useful tool for monitoring in-field crop growth variability and enabling precision agriculture applications. A semiautomated system for generating CSMs was implemented. It combines an Android application running on a set of smart cameras for image acquisition and transmission and a set of Python scripts automating the structure-from-motion (SfM) software package Agisoft Photoscan and ArcGIS. Only ground-control-point (GCP) marking was performed manually.