Harvesting of crops is one of the essential and crucial practices involved in crop production. Once the crop is matured or fully matured they are cut and collected (Reaping), collectively referred to as harvesting. Harvesting depends on several variables, including seasons, crop varieties, length of crop maturity, etc. The main aim of good harvest practices is to maximize the crop yield and minimise crop losses.  

Determining the right time to crop harvest is one of the crucial factors for crop loss prevention. Harvesting too early will result in a higher percentage of unfilled or immature grains, which will lower the yield and cause higher grain breakage during milling. Harvesting too late will lead to excessive losses and increased breakage. Harvest time also affects the germination potential of the seeds.

Besides this, grain losses may occur caused by over-irrigation and rodents, birds and insects may also eat the grains. Therefore it is necessary to regularly examine the crop is necessary as harvesting period approaches.

Satyukt Analytics has developed a cutting edge technology that leverage advances in  Satellite Remote Sensing technology and apply Big Data Analytics, Machine Language, and Physical Algorithms to provide farm-scale insights. The algorithms also make use of available IoT sensors, UAV manual observation, and weather data to enable users to analyze and interpret real-time data actionable insights on standing crops.

We can accurately determine crop harvest time by using our in-house developed algorithms which collects crop NDVI, EVI, soil moisture, and weather data. This allows performing valuable analyses to determine crop harvest timing and to enhance decision making, based on a particular season.

• Satyukt offers, Accurately view, map, and record crop yield and soil moisture data in real-time to instantly understand crop production
• Timely harvesting ensures quality yield and high market value.
• Accurately determine crop harvesting dates
• The algorithm enables us to monitor harvesting over large areas and identify underperforming areas in a farm
• Map and compare the yield output of various seed varieties in a farm
• Accurately Map and share the crop yield data to supply chain for better management of transportation and storage.