MiField by FS Imagery: Way More Than Images
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MiField(tm) by FS Imagery: Way More Than Images

04/29/2019
general agronomy technology unmanned aerial systems crop scouting
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MiField(tm) by FS Imagery:  Way More Than Images
  • MiField imagery couples timely high resolution multi-spectral layers with advanced analytics to provide insights of field and crop conditions more efficiently.
  • For every field enrolled, a grower will receive a bare ground image taken before planting, weekly flights from V2 through roughly V12, and then biweekly flights until the end of the season.
  • Through early growth stages, this system allows farmers to track the early season tenacity of their crop and gives them the ability to make informed decisions for in season action.

With the growth of farming operations, farmers need to cover more acres much more efficiently to properly care for their crop. With that uptick in work, a grower’s time and ability to monitor their crop is increasingly strained. Traditional, boots on the ground, scouting programs are still prevalent, but as technology continues to evolve, so must the industry’s ability to quickly and efficiently scout. MiFieldä by FS Imagery is the next evolution in aerial imagery being captured in agriculture. It couples timely, high-resolution ,multi-spectral image layers with advanced analytics that, together, bring insights to the farm-gate in ways that were previously unattainable.

With MiField Imagery, a grower can expect a minimum of 10 high resolution flights throughout the growing season. For every field enrolled, a grower will receive a bare ground image taken before planting, weekly flights from V2 through roughly V12, and then biweekly flights until the end of the season. Each flight will capture 5 image layers: RGB, CIR, Thermal, Relative NDVI, and Absolute NDVI. These image layers are then run through an analytics engine that will provide 5 analysis layers: Row Tracer, Yield Risk, Heat Seeker, Weed Watch, and Trend Zone. The analytics engine is the real power of this platform. By layering and analyzing images across multiple flights it can flag anomalies in field health, detect growing weed pressure, and highlight areas of the field that are improving post treatment. Taking that one step further, the system automatically generates Smart Alerts; messages that flag field issues requiring immediate attention. Smart Alerts can be sent via text and are always available on the iPad app or desktop website.

MiField Imagery is designed to provide insights at key growth stages in season. Bare ground images taken before planting can help a farmer determine the order of his work. Thermal Image layers illustrate which fields are overly saturated and which are warmer. Planting seed into cool, wet conditions usually slows the germination process and may produce an uneven stand. Using this information, farmers can identify pockets of fields that have ideal planting conditions and start their season there, giving other fields an opportunity to warm and dry out. The same concept can be applied during harvest preparations to help growers select fields that are ready for harvest.

Through early growth stages, this system allows farmers to track the early season tenacity of their crop and gives them the ability to make informed decisions for in season action. Early season flights provide a stand count for each field and helps pinpoint areas with uneven plant emergence. Farmers can track the development of nutrient deficiencies and make decisions about additional applications, determine if replant is necessary, and highlight weed issues that may need more immediate attention for post pass crop protection. Flights also cover plant health issues mid-late season, highlighting areas suffering from an onset of disease or insect pressure. As summer storms move through, flights provide imagery and acre estimations of damaged crop.

MiField Imagery can efficiently, and effectively capture field and crop conditions thus providing valuable insights to a grower. It gives growers the ability to isolate areas of need and make decisions that will increase the efficiency and profitability of farmers’ operations.  

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