Irrigation is a geospatial phenomenon involving many parameters

like soil, water, temperature, wind speed and more.

Irrigation systems continue to play a key role in the world’s food availability, because water, clearly, remains the major constraint to agricultural productivity. However, irrigation systems are not always suitably designed or managed, and much waste accompanies their use. Irrigation systems must be efficiently used to fulfill current needs without overlooking the needs of tomorrow. Irrigation systems and practices that maximize productivity and minimize liability can make agriculture economically, socially, and environmentally viable. However, challenges such as resource (water and energy) scarcity and inefficient operational strategies threaten the continued use of irrigation. Catching and storing water when available is a key to counteracting the inadequacy of water availability. Equally important is efficient use of stored water to fight resource scarcity, increase productivity, and minimize liability. Improving irrigation systems and practices to maximize agricultural productivity and minimize environmental degradation is imperative.

The power of irrigation systems lies in making otherwise inaccessible water available for agriculture.

Increasing agricultural productivity, fighting water scarcity, minimizing environmental degradation, reducing disease incidence, and minimizing energy consumption are the five major objectives of irrigation systems and practices worldwide. If increasing productivity was the lone focus in irrigation decision making, energy costs would increase, and water scarcity and environmental degradation would become worse. Or if protecting the environment, water scarcity, or energy consumption were the only considerations, there might not be adequate yield. Optimal irrigation allocation and scheduling decisions are vital to building and sustaining healthy communities. Irrigation decisions that balance productivity and liability are difficult to make without the support of mathematical models. Irrigation optimization involves using mathematical techniques, in combination with scientific understanding of the cropland‐irrigation system, for making irrigation decisions.

How much water is required for optimum crop growth? How (when and where) can that amount best be delivered with minimal environmental damage? These two questions have an implicit spatial/temporal aspect to them.

Developing optimal irrigation strategies requires spatial/temporal models and analysis of plant growth and irrigation processes. Capturing interactions between the agricultural landscape and the irrigation system is key to performing true precision irrigation optimization. Precision irrigation optimization requires understanding and modeling complex interactions between the irrigation system and the agricultural landscape. Mapsol provides strategies and solutions for applying precisely the amount of water a crop needs in real time - the framework for constructing optimal irrigation allocation and scheduling decision strategies that not only enhance present‐day agricultural productivity but also leave behind a healthier environment for the future.

Mapsol can provide required support to perform true geospatial optimization – optimization performed by incorporating the multiple dimensions of the real-world.