Add to ORKGPaper presented at Strathmore University Research Week on 31 July 2009Paper presented at Strathmore University Research Week on 31st July 200
The lack of timely, high-resolution data on agricultural production is a major challenge in developi...
Background: (HSI) Hyperspectral Images contain high spectral resolution information, in hundreds of ...
Techniques that provide a rapid and widespread assessment of crop properties equip industry decision...
Hyperspectral cameras can provide reflectance data at hundreds of wavelengths. This information can ...
This study used hyperspectral data to determine nitrogen, weed, and water stresses in a corn (Zea m...
Abstract: Maize (Zea mays) is one of the world’s most important grains that serve as staple food for...
Precise monitoring of agricultural crop biomass and yield quantities is critical for crop production...
This dissertation develops a new approach to crop yield mapping that integrates the standard yield m...
Enhancing the nitrogen (N) efficiency of maize hybrids is a common goal of researchers, but involves...
Predicting maize yield using spectral information, temperature, and different irrigation management ...
Agriculture is the backbone and the main sector of the industry for many countries in the world. Ass...
Applying the optimum rate of fertilizer nitrogen (N) is a critical factor for field management. Mult...
Crop yield estimation is a very important aspect in food production as it provides information to po...
The integration of the modern Machine Learning (ML) models into remote sensing and agriculture has e...
As the global population increases, we face increasing demand for food and nutrition. Remote sensing...
The lack of timely, high-resolution data on agricultural production is a major challenge in developi...
Background: (HSI) Hyperspectral Images contain high spectral resolution information, in hundreds of ...
Techniques that provide a rapid and widespread assessment of crop properties equip industry decision...
Hyperspectral cameras can provide reflectance data at hundreds of wavelengths. This information can ...
This study used hyperspectral data to determine nitrogen, weed, and water stresses in a corn (Zea m...
Abstract: Maize (Zea mays) is one of the world’s most important grains that serve as staple food for...
Precise monitoring of agricultural crop biomass and yield quantities is critical for crop production...
This dissertation develops a new approach to crop yield mapping that integrates the standard yield m...
Enhancing the nitrogen (N) efficiency of maize hybrids is a common goal of researchers, but involves...
Predicting maize yield using spectral information, temperature, and different irrigation management ...
Agriculture is the backbone and the main sector of the industry for many countries in the world. Ass...
Applying the optimum rate of fertilizer nitrogen (N) is a critical factor for field management. Mult...
Crop yield estimation is a very important aspect in food production as it provides information to po...
The integration of the modern Machine Learning (ML) models into remote sensing and agriculture has e...
As the global population increases, we face increasing demand for food and nutrition. Remote sensing...
The lack of timely, high-resolution data on agricultural production is a major challenge in developi...
Background: (HSI) Hyperspectral Images contain high spectral resolution information, in hundreds of ...
Techniques that provide a rapid and widespread assessment of crop properties equip industry decision...