ABSTRACT
This conclusion presents some closing thoughts on the concepts covered in the preceding chapters of this book. The book focuses on precision farming applications using hyperspectral data. It highlights the need to have high spatial, high spectral, and frequent coverage resolutions of imagery for precision farming applications. The book also presents specific parameters modeled and mapped for precision farming applications and include: soil properties such as organic matter, electrical conductivity, potassium, manganese, pH, soil moisture, and soil salinity. It discusses the importance of flower mapping using the distinctive spectral characteristics of flowers, and studies the challenges and limitations of hyperspectral remote sensing in flower mapping. The book provides a fine synopsis of the existing state of knowledge in characterizing and mapping flowers using hyperspectral data in different environments using different sensors from various platforms. It suggests a clear methodology for modeling and mapping Crop water productivity using remote sensing.
