Advanced satellite imagery to classify sugarcane crop characteristics
نویسندگان
چکیده
منابع مشابه
Evaluation of Approaches to Identifying Hail Damage to Crop Vegetation Using Satellite Imagery
During the growing season in the central United States, severe thunderstorms frequently occur and produce large hail that damages the underlying vegetation, often in agricultural areas. Satellite remote sensing provides a tool for identifying these damaged areas. Previous studies have used changes in the normalized difference vegetation index (NDVI) to identify and examine these areas of damage...
متن کاملUse of data mining techniques to classify soil CO2 emission induced by crop management in sugarcane field
Soil CO2 emissions are regarded as one of the largest flows of the global carbon cycle and small changes in their magnitude can have a large effect on the CO2 concentration in the atmosphere. Thus, a better understanding of this attribute would enable the identification of promoters and the development of strategies to mitigate the risks of climate change. Therefore, our study aimed at using da...
متن کاملMapping Crop Planting Quality in Sugarcane from UAV Imagery: A Pilot Study in Nicaragua
Sugarcane is an important economic resource for many tropical countries and optimizing plantations is a serious concern with economic and environmental benefits. One of the best ways to optimize the use of resources in those plantations is to minimize the occurrence of gaps. Typically, gaps open in the crop canopy because of damaged rhizomes, unsuccessful sprouting or death young stalks. In ord...
متن کاملpreparation of a nitrogen variability map for corn crop, as based on satellite imagery
the present research was carried out with the aim of site-specific nitrogen fertilizer management, through aster imagery. a 23 ha corn field in pakdasht town in southern tehran province constituted the research area. plant sampling was carried out simultaneous with the passing by of the satellite sensor over, throughout the farm. a total of 53 pixels were selected through systematic randomized ...
متن کاملReliable Crop Identification with Satellite Imagery in the Context of Common Agriculture Policy Subsidy Control
Agricultural subsidies in the context of the Common Agricultural Policy (CAP) represent over 40% of the EU’s yearly budget. To ensure that funds are properly spent, farmers are controlled by National Control and Paying Agencies (NCPA) using tools, such as computer-assisted photo interpretation (CAPI), which aims at identifying crops via remotely-sensed imagery. CAPI is time consuming and requir...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Agronomy for Sustainable Development
سال: 2007
ISSN: 1774-0746,1773-0155
DOI: 10.1051/agro:2006034