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Free Farming 202012/25/2023 ![]() ![]() An accurate DTM would allow growers to optimize their yields and reduce the hectares lost to soil erosion each year. Variable terrain scenarios may require different land preparation, crop practices, amounts of nutrients, and irrigation measures to be implemented to ensure yields are optimized. A standard DTM showing up-to-date changes in topography, slope, and similar parameters, would provide important information to growers globally. ![]() There currently does not exist a reliably updated DTM for agricultural fields around the world that can be implemented in existing precision agriculture practices of the growers. Many factors influence the productivity of these areas, such as nutrient availability, elevation, topography, and the timing of harvest operations. In recent years, an increasing number of growers are relying on more accurate data to make decisions and take advantage of the benefits of precision agriculture. One of the challenges that growers are facing is how to optimize the output from their lands while minimizing the inputs as the global population is expected to greatly increase in the coming decades. There are approximately 1.5 billion hectares of agricultural land on Earth that are used for crop production. There exists a need for the generation of a timely DTM of recently harvested agricultural lands to support decision-making for land management practices. The presence of crops would compromise the DTM accuracy and in many cases will make it impossible to create as bare ground is necessary for a reliable DTM creation. If a DTM is updated even once per year, there is most likely a crop growing on every hectare of land being mapped. Digital Terrain Models (DTMs) are extremely difficult to create on agricultural lands as a result of the short-term temporal changes of these lands. ![]()
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