Precision Farming and Linux: An Expose
Precision farming is here to stay. However, the data storage and analysis needs of precision farming are beyond the resources of most farmers. Procedures and analytical processes are not always available in “canned” packages (certainly not in any one package), so a powerful, open development environment is needed.
If you are a person who understands the philosophy of statistics and are academically inclined, precision farming might be a very interesting topic/career in which to get involved.
Gordon Haverland works for the Precision Farming Project of Alberta Agriculture, Food and Rural Development. He can be reached via e-mail at firstname.lastname@example.org.
|Speed Up Your Web Site with Varnish||Jun 19, 2013|
|Non-Linux FOSS: libnotify, OS X Style||Jun 18, 2013|
|Containers—Not Virtual Machines—Are the Future Cloud||Jun 17, 2013|
|Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer||Jun 12, 2013|
|Weechat, Irssi's Little Brother||Jun 11, 2013|
|One Tail Just Isn't Enough||Jun 07, 2013|
- Speed Up Your Web Site with Varnish
- Containers—Not Virtual Machines—Are the Future Cloud
- Linux Systems Administrator
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- Senior Perl Developer
- RSS Feeds
- Technical Support Rep
- Non-Linux FOSS: libnotify, OS X Style
- UX Designer
- So when they found it hard to
28 min 23 sec ago
50 min 34 sec ago
- Reply to comment | Linux Journal
1 hour 12 min ago
- Android has been dominating
1 hour 17 min ago
- It is quiet helping
4 hours 3 min ago
4 hours 20 min ago
- Reachli - Amplifying your
5 hours 36 min ago
6 hours 25 min ago
- good point!
6 hours 28 min ago
- Varnish works!
6 hours 37 min ago
Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?