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.
This study analyses the impact of the transfer of technological information (among other a priori identified factors) on the uptake of innovative crop technologies using structural equation modelling of data from a representative survey of Scottish crop farmers. The model explains 83% of the variance in current technological uptake behaviour and 63% of the variance in intentions to uptake new technologies.
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.
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.
La population mondiale atteindra probablement les neuf milliards de personnes d’ici le milieu du siècle. Selon les estimations de l’Organisation des Nations unies pour l’alimentation et l’agriculture (FAO), il faudrait augmenter la production alimentaire de 60 pour cent pour les nourrir. Ces produits alimentaires supplémentaires devraient dans l’idéal être produits là où ils sont censés être consommés, c’està-dire dans les pays en développement. Pour y parvenir, ces pays doivent augmenter sensiblement leur production.
Responding to global food crisis, such as imposed by climate change, requires resilient food systems that are able to respond to shocks. Resilience thinking, as an approach to agriculture development, focuses on enhancing the capacity of both the human and ecological systems inter alia. In this paper, the concept of resilience is approached from the perspective of socio-ecological systems dynamics. In particular, the study examined the contribution of farmers to research towards enhanced resilience of traditional African vegetable production systems in northern Ghana.
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.
This paper offers a perspective on the Agricultural Knowledge and Innovation System. The first chapter gives an introduction to the subject and explains the role of SCAR and of the Strategic Working Group AKIS. The second chapter investigates the AKIS and their role in innovation, including the policy context of the European Innovation Partnership “Agricultural productivity and sustainability”. Chapter 3 discusses the relation in a globalised world between Agricultural Research (AR) and Agricultural Research for Development (ARD).