**7. Conclusions**

PA transforms traditional production practices to intensive production practices with spatially and time-varying data. It is quickly becoming a vital component of successful farming operations in continually evolving agroecosystems. PA encompasses a set of related technologies that aim to conduct and increase the precision of cultivation practices, increase the efficacy of crop inputs, and increase higher soil and crop productivity. Like most other technology-oriented industries, PA has evolved through multiple phases in a relatively short period of time. Fields and sectors deploying PA technologies such as GIS, GNSS, and remote sensing continue to grow. With the use of remote sensing, GNSS, and GIS, farmers now routinely measure, map, and manage the spatial variability of their farms. The ability to visualize this variability has given rise to SSM decision making, which optimizes input use efficiency, yield, and profitability while reducing environmental contamination. However, PA requires technical skills, knowledge, and expertise to handle the range of technological tools now available to agricultural producers. High-tech field machinery coupled with appropriate sensing and control technologies can be capital intensive. Therefore, it is essential for producers to select and implement

*Precision Agriculture for Sustainable Soil and Crop Management DOI: http://dx.doi.org/10.5772/intechopen.101759*

PA technologies that offer the best return on investment for their unique situation. Alternatively, government entities may wish to consider incentives that encourage farmers to adopt PA technologies that have significant environmental benefits but may be at the margin of profitability for their operations. Strong linkage among researchers, extension workers along with industry partners, and farmers are vital to the continuing evolution and adoption of PA technologies.
