Dossier - Agriculture et monde rural - Agriculture et environnement
In: Regards sur l'actualité, Heft 315, S. 73-86
ISSN: 0337-7091
83101 Ergebnisse
Sortierung:
In: Regards sur l'actualité, Heft 315, S. 73-86
ISSN: 0337-7091
In: En agriculture, s'endetter.?(1983)
Nous insérant dans la mission interministérielle Agriculture-Finances décidée en 1976 pour étudier l'efficacité des prêts bonifiés du Crédit Agricole., nous avons cherché à apprécier le rôle de l'instrument que constitue le crédit bonifié dans l'évolution des structures des exploitations agricoles. Ceci impliquait pour nous de mettre en rapport l' évolution des caractéristiques structurelles de groupes d'exploitations repérés par des types d'endettement et les objectifs de la politique agricole.
BASE
In: Computers and Electronics in Agriculture, Band 40, Heft 1-3, S. 1-3
In: Computers and Electronics in Agriculture, Band 29, Heft 1-2, S. 1-2
In: Computers and Electronics in Agriculture, Band 1, Heft 4, S. 371-372
In: Publication / Policy, Planning and Economics Branch, Agriculture Canada no. 78/8,
In: The Economic Journal, Band 27, Heft 107, S. 392
In: Aegaeum Journal, Band 8, Heft 3
SSRN
World Affairs Online
In: Development and change, Band 37, Heft 1, S. 201-226
ISSN: 1467-7660
This book is a platform for anyone who wishes to explore Artificial Intelligence in the field of agriculture from scratch or broaden their understanding and its uses. This book offers a practical, hands-on exploration of Artificial Intelligence, machine learning, deep Learning, computer vision and Expert system with proper examples to understand. This book also covers the basics of python with example so that any anyone can easily understand and utilize artificial intelligence in agriculture field. This book is divided into two parts wherein first part talks about the artificial intelligence and its impact in the agriculture with all its branches and their basics. The second part of the book is purely implementation of algorithms and use of different libraries of machine learning, deep learning and computer vision to build useful and sightful projects in real time which can be very useful for you to have better understanding of artificial intelligence. After reading this book, the reader will an understanding of what Artificial Intelligence is, where it is applicable, and what are its different branches, which can be useful in different scenarios. The reader will be familiar with the standard workflow for approaching and solving machine-learning problems, and how to address commonly encountered issues. The reader will be able to use Artificial Intelligence to tackle real-world problems ranging from crop health prediction to field surveillance analytics, classification to recognition of species of plants etc.Note: T&F does not sell or distribute the hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka. This title is co-published with NIPA
A research paper on the role women have always played in Zimbabwe's agricultural sector. ; The Zimbabwe government regards agricultural development as of paramount importance to the nation's existence and future. For that reason, the government supports agricultural development at all levels from subsistence farmers to small-scale and large-scale commercial farmers. In Zimbabwean society, women play multiple roles in the agricultural sector, particularly in the communal land and small-scale commercial farming sectors. A number of studies on the role of women in economic development have touched on sensitive and deeply entrenched traditional beliefs, sometimes drawing controversial comments from decision makers, policy makers, researchers and extension agents. Throughout the 1990s the state realized the key role that women played in agriculture and development and sought to address the legal inequities that hindered them from exercising their full rights as citizens. However, many of the gains women had made were eroded by the conflicts that emerged as a result of the land reform programme.
BASE
In: Labour research, Band 36, S. 51-53
ISSN: 0023-7000