Le drone est un outil de plus en plus utilisé dans de nombreux domaines et en particulier en agriculture. La méthode présentée permet d’estimer la hauteur de plantes fourragères à partir de photos prises d’un drone. Cette méthode revêt un intérêt tout particulier pour la sélection végétale.
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.
L’agriculture souffre d’un important déficit d’image : qualité des produits jugée médiocre, non respect de l’environnement, pénibilité des métiers… La réalité est cependant tout autre. Tout en restant profondément ancré dans la vie des territoires, ce secteur est devenu numéro deux de la robotisation. De nouvelles méthodes fondées sur le traitement des données, des outils innovants, intelligents et connectés, ainsi que des réseaux de diffusion des innovations et d’entraide contribuent à transformer en profondeur l’agriculture.
Innovation rests not only on discovery but also on cooperation and interactive learning. In agriculture, forestry and related sectors, multi-actor partnerships for ‘co-innovation’ occur in many forms, from international projects to informal ‘actor configurations’. Common attributes are that they include actors with ‘complementary forms of knowledge’ who collaborate in an innovation process, engage with a ‘larger periphery’ of stakeholders in the Agricultural Knowledge and Innovation System (AKIS) and are shaped by institutions.
Precision Agriculture (PA) has been advocated as a promising technology and management philosophy that provides multidimensional benefits for producers and consumers while being environmentally friendly. In Europe, private stakeholders (farm advisors, farm equipment producers, decision support providers, farmers) and research institutions have been trying to develop, test and demonstrate adoption of precision agriculture solutions with governments financing big projects in these areas. Despite these efforts, adoption is still lagging behind expectations.
El documento se divide en ocho capítulos, en el primero se realiza una introducción al programa ERICA, los antecedentes del proceso y los objetivos que se persiguen. El segundo capítulo presenta un marco de referencia para contextualizar las prácticas de gestión en España, la situación en Colombia, el problema identificado y el marco normativo. El tercero presenta un marco conceptual con algunos de los términos más representativos trabajados en el proyecto.
Improvements in the sustainability of agricultural production depend essentially on advances in the efficient use of nitrogen. Precision farming promises solutions in this respect. Variable rate technologies allow the right quantities of fertilizer to be applied at the right place. This helps to both maintain yields and avoid nitrogen losses. However, these technologies are still not widely adopted, especially in small-scale farming systems. Recent developments in sensing technologies, like drones or satellites, open up new opportunities for variable rate technologies.
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.
We present a model for research and development (R&D) investment in food innovations based on new plant engineering techniques (NPETs) and traditional hybridization methods. The framework combines uncertain and costly food innovation with consumers' willingness to pay (WTP) for the new food. The framework is applied with elicited WTP of French and US consumers for new improved apples. NPETs may be socially beneficial under full information and when the probability of success under NPETs is relatively high. Otherwise, the traditional hybridization is socially optimal.
As climate change continues to drive food insecurity, addressing the risks of climate change across the value chain – especially agricultural products that are important to food and nutrition security – will yield significant adaptation benefits to vulnerable small producers and rural communities at large. This will support global efforts to end hunger and poverty, build more effective farming practices that reduce greenhouse gas emissions, and accelerate the ambition of Nationally Determined Contributions to the Paris Agreement.