- 4.8Impact Factor
- 7.4CiteScore
- 21 daysTime to First Decision
Drones, Volume 2, Issue 3
September 2018 - 10 articles
Cover Story: The lack of reliable data in low-income countries holds back development in agriculture. Traditional remote sensing holds promise for filling in data gaps, but its application to farming systems in sub-Saharan Africa (SSA) is limited because these systems are characterized by small field size and intercropping of different crops with similar phenologies, and because high cloud frequency during the growing season can limit the availability of satellite images. Unmanned Aerial Vehicles provide a potential alternative to traditional remote sensing due to their ability to operate below cloud cover and deliver timely high-resolution imagery at a low cost. In combination with object-oriented image classification methods, they provide high-precision information on crop type, number of plants, vegetation fraction and thus yield assessment. View this paper.
- Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
- You may sign up for email alerts to receive table of contents of newly released issues.
- PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.
Articles
There are no articles in this issue yet.
Get Alerted
Add your email address to receive forthcoming issues of this journal.
Drones - ISSN 2504-446X