Widespread adoption of precision agriculture requires timely acquisition of low-cost, high
quality soil and crop yield maps. Integration of remotely sensed data and machine learning …

Precision agriculture (PA) transforms traditional practices into a new world of production of
agriculture. It uses a range of technologies or diagnostic tools such as global navigation …

Purpose Spatial variability of soil properties is considered as one of the most important
reasons for the variability of crop productions. The current research was conducted to …

The utilization of Normalized Difference Vegetation Index (NDVI) data obtained through
satellite images can technically improve the process of delimiting management zones (MZ) …

Thematic maps are essential tools in precision agriculture to demonstrate the information of
spatially distributed phenomena. A thematic map can be created from sampling data, a …

In the last decades, geostatistics has been widely used for precision agriculture (PA)
producing quite exciting results. Research on this topic is important for sustainable …

In precision agriculture, soil and plant variables are usually presented through thematic
maps. The development of these maps is related to data collection, analysis, and …

Harvester-mounted yield monitor systems are increasingly used to document corn (Zea
mays L.) yield. The three most commonly used spatial estimation methods to convert point …

The soil management can affect the development of the plant, the quality of the water and air
and contribute to increase in the emission of greenhouse gases. Therefore, precision …

One of the challenges in site-specific phosphorus (P) management is the substantial spatial
variability in plant available P across fields. To overcome this barrier, emerging sensing …