Pan-tropical modeling of REDD–bioenergy competition. U. Martin Persson Biological Conservation Volume 146, Issue 1, February 2012, Pages 81–88. Abstract The land competition between tropical bioenergy plantations ...
Datacratic Powers a Best-of-Breed Multivariant and Real-Time Modeling Solution, Which Leverages BlueKai's Open Platform. Cupertino, Calif., July 30, 2012 – BlueKai, the world's only complete enterprise platform to help ...
Joe Rizzi first heard the underwater songs of humpback whales a decade ago while scuba diving near Hawaii. Enthralled, he decided to pipe their migration music into his beachfront home.Here's the difference between Joe Rizzi and your average souvenir seeker: He's a rich venture capitalist. Rizzi's quest to capture the whalesong started with a glass pickle jar, a hydrophone and a kayak. It ends with Liquid Robotics, a Sunnyvale, Calif., company with $22 million from investors, 80 employees and customers like BP Oil and the National Oceanic Atmospheric Administration.
Liquid Robotics operates a fleet of wave-propelled, solar-powered ocean robots. Designed to capture Rizzi's elusive music, they have the potential to do much more: predict tsunamis, track fish, snuff out offshore oil leaks and patrol waters for national security threats. They use no fuel, produce no emissions and can travel up to 2,000 miles using wave power alone.
Climate factors play a major role in determining the impact of several pests and diseases on rice crop yields. Based on this rationale, the ClimaRice II project has identified a potential for further use of existing weather data as input to a computerised system for plant pest and disease.
A network of 224 Automatic Weather Stations (AWS) throughout Tamil Nadu state will collect the data which will be used as input to a weather forecasting model. Initially, the focus will be on paddy blast disease, caused by the fungal pathogen Magnaporthe grisea, and insect pest paddy leaf mite Oligonychus oryzae. The assumption is that farmers access to pest and disease warnings, either directly by mobile internet/SMS, or through advisory service officers, enables improved targeting of crop protection measures which both can give increased crop yield and quality, as well as reduced pesticide use/or timely use and less production costs to farmers.
WSU News: Decision-support systems, such as those available through WSU’s AgWeatherNet, help agricultural professionals decide when to use frost control, apply pest control measures and make other decisions critical to the success of their crops.
The workshops resulted in a textbook, "Improving Soil Fertility Recommendations in Africa using the Decision Support System for Agrotechnology Transfer (DSSAT),” recently published by Springer. The book offers examples of how decision-support systems were applied in simulation to various agricultural management and conservation practices.
Washington State University SU agrometeorologist Gerrit Hoogenboom helped lead a series of workshops in Tanzania, Ghana and Kenya to transfer decision-support system technologies to researchers in African nations.
Changes in catastrophe models alter industry view of riskBusiness InsuranceProperty/casualty insurers, reinsurers and reinsurance intermediaries use an array of sophisticated catastrophe models and tools to get a better sense of the risk presented...
Models are Everywhere:Wunderground.com (blog)There are several web sites that offer an introduction to climate modeling, for example, We Adapt, climateprediction.net, NASA Earth Observatory, and Koshland Science Museum.
Capital of Silicon Valley Chooses InfoWorks ICM for Smart Water Network ...GISuser.com (press release)“We've started using InfoWorks ICM within both our sanitary master planning group and stormwater group to help us achieve this goal.” The City...
Agro-Meteorology. WOTR is partnered by the India Meteorological Department (IMD) in its Agro-Meterology efforts. The IMD guides WOTR in weather station installations, weather predictions as well as in providing agro advisories.
Automated Weather Stations were installed in villages. Localized Met-advisories and Agri-met advisories are in demand and they can be very much useful in giving timely information to farmers so that they can plan their agricultural activities accordingly.
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