Agricultural inputs like fertilizers, water,etc, are components that are added to improve the growth of plants. If not in optimum amounts, these can do more harm than good. Sometimes a spatiotemporal variation of yield is observed even in the same field due to the variation in the physical and chemical properties of soil such as its texture, structure, porosity, etc. Agricultural inputs should be applied considering the factors of soil with which the yield varies. Hence spatiotemporal estimation of input requirement would be advantageous for farmers to optimize the use of water, fertilizers and other inputs, without compromising on the yield.

Direct analysis of variation of these factors is difficult due to the complexity involved in the processes responsible for these variations. An indirect way of monitoring these variations is by using agro-hydrological variables. These parameters vary with land-atmosphere interactions yet will retain the memory of the anomalies happened in past. These parameters due to its inherent memory can hence be used in quantifying the input requirement. Satyukt Analytics Pvt Ltd an expert in microwave remote sensing is capable of monitoring agro-hydrological variables in near real-time throughout the year under all weather conditions. Near real-time monitoring of these parameters would help farmers and decision makers to take appropriate steps to improve the yield.