ArticleCurrently, remote sensing or yield monitor equipment offer possibilities how to estimate productivity of the agriculture field. That is why the main aim of this study is to assess how the latest satellite images from vegetation season and final yield data from combine harvester can be used to predict yield and to assess site-specific zones productivity. The study is focused on the accuracy of these systems for the field productivity estimation. The 24.7 ha experimental field is located near to Vendoli village (the Czech Republic) and it is cultivated by conventional agricultural practices with emphasis on typical agricultural crops growing in the Czech Republic (winter wheat, spring barley and winter rape). The results showed ...
The long term archiving of both Landsat imagery and wheat yield mapping datasets sensed by precision...
The objective of this work was to investigate the use of remotely sensed vegetation indices to impro...
Crop yield forecasting models are needed to help farmers and decision makers cheaply detect crop co...
Yield is one of the primary concerns for any farmer since it is a key to economic prosperity. Yield ...
Remote sensing can be very useful tool for agriculture management. In this study, remote sensing met...
Accurate and timely crop condition monitoring is crucial for food management and the economic develo...
Knowledge of the crop yield with sufficient lead time prior to harvest is crucial for both the farm ...
Vegetation indices sensed by satellite optical sensors are valuable tools for assessing vegetation c...
Remote sensing can be used for yield estimation prior to harvest at the field level to provide helpf...
Information provided by satellite data is becoming increasingly important in the field of agricultur...
ArticleCurrently, spectral indices are very common tool how to describe various characteristics of ...
The annual harvest growth is very important for the development of the agricultural sector of each c...
Forecasting of crop production is most important aspect of agricultural statistics system. Yield for...
Knowledge og the crop yield with sufficient lead time prior to harvest is crucial for the farm manag...
The general objective of this project was to enhance the crop statistics. To this end, we establishe...
The long term archiving of both Landsat imagery and wheat yield mapping datasets sensed by precision...
The objective of this work was to investigate the use of remotely sensed vegetation indices to impro...
Crop yield forecasting models are needed to help farmers and decision makers cheaply detect crop co...
Yield is one of the primary concerns for any farmer since it is a key to economic prosperity. Yield ...
Remote sensing can be very useful tool for agriculture management. In this study, remote sensing met...
Accurate and timely crop condition monitoring is crucial for food management and the economic develo...
Knowledge of the crop yield with sufficient lead time prior to harvest is crucial for both the farm ...
Vegetation indices sensed by satellite optical sensors are valuable tools for assessing vegetation c...
Remote sensing can be used for yield estimation prior to harvest at the field level to provide helpf...
Information provided by satellite data is becoming increasingly important in the field of agricultur...
ArticleCurrently, spectral indices are very common tool how to describe various characteristics of ...
The annual harvest growth is very important for the development of the agricultural sector of each c...
Forecasting of crop production is most important aspect of agricultural statistics system. Yield for...
Knowledge og the crop yield with sufficient lead time prior to harvest is crucial for the farm manag...
The general objective of this project was to enhance the crop statistics. To this end, we establishe...
The long term archiving of both Landsat imagery and wheat yield mapping datasets sensed by precision...
The objective of this work was to investigate the use of remotely sensed vegetation indices to impro...
Crop yield forecasting models are needed to help farmers and decision makers cheaply detect crop co...