RTB Maps is a cloud-based electronic Atlas. We used ArGIS 10 for Desktop with Spatial Analysis Extension, ArcGIS 10 for Server on-premise, ArcGIS API for Javascript, IIS web services based on .NET, and ArcGIS Online combining data on the cloud with data and applications on our local server to develop an Atlas that brings together many of the map themes related to development of roots, tubers and banana crops. The Atlas is structured to allow our participating scientists to understand the distribution of the crops and observe the spatial distribution of many of the obstacles to production of these crops. The Atlas also includes an application to allow our partners to evaluate the importance of different factors when setting priorities for re...
Recent advances in cloud-based technology has led to the rapid increase of geospatial web-based appl...
Despite its essential importance to various spatial agriculture and environmental applications, the ...
Field crop plot boundaries can be extracted from high-resolution images with spatial resolution less...
RTB Maps is a cloud-based electronic Atlas. We used ArGIS 10 for Desktop with Spatial Analysis Exten...
RTB Maps is a cloud-based electronic Atlas. We used ArGIS 10 for Desktop with Spatial Analysis Exten...
Timely and accurate information on the global cropland extent is critical for applications in the fi...
The Agro-MAPS database has been created primarily to fill some critical gaps in the range of data ne...
This thesis focuses on the benefits of geographic information systems in the area of plant productio...
Agroecology (AE) is a cost-effective alternative to increasing productivity and enhancing ecological...
Many maps (geology, hydrology, soil, vegetation, etc.) are created to inventory natural resources. E...
Global timely, accurate, and cost-effective cropland mapping is a prerequisite for agriculture monit...
This data collection contains annual maps of crop types for Continental United States for the period...
Over the coming decades it is expected that the vast amounts of area currently in agricultural produ...
This article is devoted to the creation of complex electronic maps of agriculture and agro-geo datab...
This Atlas is part of DCL’s effort to set research and development program priorities. The objective...
Recent advances in cloud-based technology has led to the rapid increase of geospatial web-based appl...
Despite its essential importance to various spatial agriculture and environmental applications, the ...
Field crop plot boundaries can be extracted from high-resolution images with spatial resolution less...
RTB Maps is a cloud-based electronic Atlas. We used ArGIS 10 for Desktop with Spatial Analysis Exten...
RTB Maps is a cloud-based electronic Atlas. We used ArGIS 10 for Desktop with Spatial Analysis Exten...
Timely and accurate information on the global cropland extent is critical for applications in the fi...
The Agro-MAPS database has been created primarily to fill some critical gaps in the range of data ne...
This thesis focuses on the benefits of geographic information systems in the area of plant productio...
Agroecology (AE) is a cost-effective alternative to increasing productivity and enhancing ecological...
Many maps (geology, hydrology, soil, vegetation, etc.) are created to inventory natural resources. E...
Global timely, accurate, and cost-effective cropland mapping is a prerequisite for agriculture monit...
This data collection contains annual maps of crop types for Continental United States for the period...
Over the coming decades it is expected that the vast amounts of area currently in agricultural produ...
This article is devoted to the creation of complex electronic maps of agriculture and agro-geo datab...
This Atlas is part of DCL’s effort to set research and development program priorities. The objective...
Recent advances in cloud-based technology has led to the rapid increase of geospatial web-based appl...
Despite its essential importance to various spatial agriculture and environmental applications, the ...
Field crop plot boundaries can be extracted from high-resolution images with spatial resolution less...