Factors contributing to ag field development are 'interrelated' and continuously evolving making it difficult to completely single out specific actors and/or mechanisms and correlate them with specific manifestations. VAIS CropROBO uses available multi-source (airborne and ground level), multi-modal data on crop type, planting dates, soil information (type, moisture, etc.), vegetation indices, yield values, among others, to generate 'prescriptive ag field maps'. The prescription ag field mapping process is executed using VAIS advanced deep learning analytics that exploit self-supervised learning and advanced data assimilation techniques to implicitly capture ag field dynamics and devise optimal fertilization, crop rotation, seeding and pesticide spraying strategies, and treatment plans. It also provides personalized recommendations to help alleviate the impact of unexpected rapid spread of biotic agents or sudden weather changes. In addition, CropROBO provides automatic continuous ag field monitoring through change detection and detects trends before they occur in order to enable timely multi-granular intervention to save crops and boost profits.
VAIS's innovative Dynamic Variable Rate Application (DVRA) technology uses prescription mapping to provide farm operators with intelligent, continuous computation and scheduling of needed amounts and types of seeds, pesticides and fertilizers to meet crop growth targets and yield requirements. This information is delivered per micro zone to enable precise application which not only optimizes agricultural inputs, but also results in significant overall savings due to avoiding double coverage and wasted inputs.
DVRA technology is interactively delivered as DVRA map zones used by automated spraying machinery or by using VAIS FarmGATE platform running on mobile/handheld devices equipped with GPS. VAIS DVRA can thus be used in case of small-area ag fields as well as with large fields where it alleviates limitations such as lag position and detection of zone borders. All inputs and feedback are recorded on the cloud for continuous follow-up and enhanced future decisions.