diff --git a/README.md b/README.md
index ab92546..61568e4 100644
--- a/README.md
+++ b/README.md
@@ -29,21 +29,22 @@
 [jet-img]: https://img.shields.io/badge/%E2%9C%88%EF%B8%8F%20tested%20with%20-%20JET.jl%20-%20red
 [jet-url]: https://github.com/aviatesk/JET.jl
 
-## Overview
+## Overview 📖
 
 SpectralIndices.jl is a Julia package for working with spectral indices commonly used in remote sensing and earth observation applications. It provides a convenient way to compute various spectral indices using Julia's high-performance capabilities.
 
-## Features
+## Features 🚀
 
-- Compute a wide range of spectral indices.
+- Computation for a wide range of spectral indices 
+- Computation support for `Float64`, `Float32` and `Float16` at index formula level to support fast computation for ML applications
 - Support for various data types, including but not limited to (see this [issue](https://github.com/awesome-spectral-indices/SpectralIndices.jl/issues/8) for an updated list and WIP)
   - [x] Arrays
   - [x] DataFrames
   - [x] YAXArrays
-- Flexible parameter input options.
-- Compatibility with multiple remote sensing platforms and sensors.
+- Flexible parameter input options
+- Compatibility with multiple remote sensing platforms and sensors
 
-## Installation
+## Installation 💻
 SpectralIndices.jl is registered in the general registry, please install it using the following:
 ```julia_repl
 julia> ]
@@ -55,7 +56,7 @@ using Pkg
 Pkg.add("SpectralIndices")
 ```
 
-## Usage
+## Usage 🛠️
 
 You can compute spectral indices either by specifying the index and its parameters or using predefined SpectralIndex instances.
 
@@ -78,6 +79,12 @@ df = DataFrame(N = [0.643, 0.560], R = [0.175, 0.225], L = [0.5, 0.5])
 result_df_multiple = compute_index(["NDVI", "SAVI"], df)
 ```
 
+To compute at custom Float precision input the bands at the chosen precision and specify the Float type to the `compute_index` function
+```julia
+# Compute NDVI with direct parameter input
+result = compute_index(Float32, "NDVI", N = Float32(0.643), R = Float32(0.175))
+```
+
 ### Using `compute`
 ```julia
 # Define a SpectralIndex instance
@@ -89,31 +96,25 @@ result = compute(NDVI, N = 0.643, R = 0.175) #NDVI is autmatically in namespace
 array_result = compute(NDVI, N = fill(0.643, (5, 5)), R = fill(0.175, (5, 5)))
 ```
 
-### Direct computation
-SpectralIndices.jl also allows for direct computation using function calls:
-```julia
-result = NDVI(0.643, 0.175)
-```
-
 For more advanced usage and detailed documentation, please refer to the documentation.
 
-## Contributing
+## Contributing 🤝
 
 Contributions to SpectralIndices.jl are welcome! If you would like to contribute, please see our Contribution Guidelines for more information.
 
-## License
+## License 📜
 
 SpectralIndices.jl is licensed under the MIT License. See [LICENSE](https://github.com/awesome-spectral-indices/SpectralIndices.jl/blob/main/LICENSE) for more information.
 
-## Acknowledgments
+## Acknowledgments ✨
 
 This package is inspired by the [Spyndex](https://github.com/awesome-spectral-indices/spyndex) Python library for spectral indices. The logo is AI-generated by dalle3 through ChatGPT and modified by the talented [David Montero](https://github.com/davemlz).
 
-## Support
+## Support 🆘
 
 If you have any questions, issues, or feature requests, please open an issue or contact us via email.
 
-## Citation
+## Citation 🔗
 
 If you use SpectralIndices.jl in your research, please consider citing it using the following DOI: