How GIS Helps with Real-time Crop Yields?
In most states, it is mandatory for the farmers to provide the government with the estimated crop yield so that they can make the necessary decisions accordingly. The predicted crop yield plays a crucial role in developing food security measures, trades, and policy development procedures. It is extremely important for farmers to collect data about the crop yields and the estimated crop production to get a better understanding of the total crop production on the particular land. Nowadays, real-time crop monitoring is gaining immense popularity among farmers. The main goal of real-time crop yield monitoring is to help understand the total crops the land will produce given the weather, nutrients, and other factors.
A variety of tools, including but not limited to, drones and watering sensors are extensively used on the land for accurate predictions. It is important to note that GIS helps give a precise estimate of the crop yield, but it may or may not be accurate. There are times when the predictions do not hold true because of the fluctuations in weather and other factors. That’s why more and more farmers are not embracing the real-time crop monitoring trends in order to get precise information about the total output they can expect from the land.
GIS and Crop Yield Production
Satellites and drones can be used to predict the crop yield a few months before the harvest season. This practice has become quite common in the urban and densely-populated areas where modern and innovative approaches are embraced by the farmers in order to ensure healthy crop growth. There is no denying that early precision is extremely necessary for policymakers, as it helps them make important decisions. Gone are the days when people would visit the agricultural land to record the estimated crop based on the size of the land, cultivation techniques, the climate in that region, and other factors.
While the traditional approaches are still used and they work well, they are often time-consuming and pretty complex. After all, collecting the data from different agricultural fields can take several months, which results in the information being available to the policymakers usually after harvest. This information is almost useless, as the crop is already harvested and there is nothing the policymakers can plan to improve the yield. That is why more and more farmers are embracing the latest and innovative techniques for monitoring agricultural lands. They are taking efforts to improve the accuracy of the crop yield prediction so that accurate data can be guaranteed to the policymakers and is delivered before a few months of the harvest season.
Estimating the crop yields before the harvest was incredibly important in areas with climate uncertainties. This helps with import and export-related decisions. Thanks to GIS, the technology has helped farmers identify which crops to grow, at what time, and in what quantities based on the crop yield prediction. GIS makes it easier to predict the crop yield before the harvest.