Agricultural land use mapping and change detection are important for environmental assessment and crop yield estimation. An effective mapping and change detection of crop land use requires large image coverage with sufficient resolutions in spatial, spectral and temporal dimensions. But few earth observation sensors can solely collect image data that meet all these requirements. The MODIS (Mode...

An image processing algorithm for detecting individual weeds was developed and evaluated. Weed detection processes included were normalized excessive green conversion, statistical threshold value estimation, adaptive image segmentation, median filter, morphological feature calculation and Artificial Neural Network (ANN). The developed algorithm was validated for its ability to identify and dete...

Vegetation crop marks may be formed in areas where vegetation overlays near-surface archaeological remains. These features retain soil moisture with different percentage of moisture compared to the rest of the crops of an area. Depending on the type of feature, crop vigour may be enhanced or reduced by buried archaeological features. Satellite imagery has been already applied successfully in se...

Plant diseases are among the major factors limiting crop productivity. A first step towards managing a plant disease under greenhouse and field conditions is to correctly identify the pathogen. Current technologies, such as quantitative polymerase chain reaction (Q-PCR), require a relatively large amount of target tissue and rely on multiple assays to accurately identify distinct plant pathogen...

AUTOMATED precision weed spot spraying in the sugarcane industry has potential to increase production while reducing herbicide usage. However, commercially-available technologies based on sensing of weed optical properties are typically restricted to detecting weeds on a soil background (i.e. detection of green on brown) and are not suited to detecting weeds among a growing crop. Machine vision...

This paper aims to introduce new linear orthogonal equations for different satellite data derived from QuickBird; IKONOS; WorldView-2; GeoEye-1, ASTER; Landsat 4 TM and Landsat 7 ETM+ sensors, in order to enhance the exposure of crop marks. The latest are of significant value for the detection of buried archaeological features using remote sensing techniques. The proposed transformations, re-pr...

Inositol phosphates are essential for cell development and signaling in all living organisms. Inositol hexakisphosphate (InsP6) is the most abundant phosphoinositol in both plants and animals. While the concentration of inorganic phosphorous (Pi) is often limited in soil, some plants overcome this limitation by creating a phosphate reservoir that serves as a source of Pi during phosphate defici...

Early detection of crop injury from herbicide glyphosate is of significant importance in crop management. In this paper, we attempt to detect glyphosate-induced crop injury by PROSPECT (leaf optical PROperty SPECTra model) inversion through leaf hyperspectral reflectance measurements for non-GlyphosateResistant (non-GR) soybean and non-GR cotton leaves. The PROSPECT model was inverted to retrie...