Agriculture

Apply Computer Vision Technology To Enhance Precision Agriculture & Livestock Operations From Farm-Through-Production

Camera-based data collection for vision AI solutions is enabling massive change in the way organizations across the agriculture industry manage their businesses with efficiency and accuracy that was previously impossible.

USE CASE

LIVESTOCK COUNT & HEALTH MONITORING

Challenge

Many manual processes and tasks involved in livestock management can cause inefficiencies, delays and unavoidable inaccuracies leading to a significant impact on cost. Accurate livestock counts are crucial to profitable operations, but manual tasks are difficult and prone to human error. Visual inspection of livestock is arduous, monotonous and is susceptible to condition-based challenges. Manual inspection and measurements of livestock can cause late detection of disease and increase risk of impact on other animals.

Solution

Video cameras enhance human observation with highly accurate data collection, analysis and benchmarking. For example, near 100% accuracy of real-time livestock counting as they exit transports and move through processes, holding areas and pens streamlines operations and positively impacts the bottom line. Rich data can be collected via cameras and computer vision models can be trained to automatically detect and classify a wide array of issues, such as animal health based on gait, measurement, behavior, etc. Predictions and real-time alerting of any event or visual input can be instantly sent to the appropriate individuals. The Plainsight platform interface is easy to use and flexible for interoperability with other systems to enable intelligence to be shared and used by all team members.

USE CASE

CROP DISEASE DETECTION

Challenge

As populations continue to grow, urbanization is causing a reduction in farmland. The pressure on the agriculture industry to find effective and safe ways to improve quality and quantity production is increasing. The monitoring of crop growth mainly relies on subjective human judgment and is not timely or accurate. Traditional agricultural management methods must be complemented by innovative device and data technologies, such as camera-based AI, to improve knowledge and productivity accurately for high-quality operations and high-yield production.

Solution

To improve monitoring and timely action based upon real-world visual data input, Plainsight vision AI detects subtle changes in crops due to malnutrition, disease, weeds or pests. Drones offer a highly effective source for visual data. The data can provide the basis for immediate remediation, data for planning and other types of visualizations such as crop mapping to track problem areas and improvements. Plainsight solutions provide prevention and control capabilities and a broad spectrum of crop monitoring advantages including increased cost effectiveness, minimized errors, and high efficiency with continuous data collection and analysis.

USE CASE

CROP DISEASE DETECTION

Challenge

As populations continue to grow, urbanization is causing a reduction in farmland. The pressure on the agriculture industry to find effective and safe ways to improve quality and quantity production is increasing. The monitoring of crop growth mainly relies on subjective human judgment and is not timely or accurate. Traditional agricultural management methods must be complemented by innovative device and data technologies, such as camera-based AI, to improve knowledge and productivity accurately for high-quality operations and high-yield production.

Solution

To improve monitoring and timely action based upon real-world visual data input, Plainsight vision AI detects subtle changes in crops due to malnutrition, disease, weeds or pests. Drones offer a highly effective source for visual data. The data can provide the basis for immediate remediation, data for planning and other types of visualizations such as crop mapping to track problem areas and improvements. Plainsight solutions provide prevention and control capabilities and a broad spectrum of crop monitoring advantages including increased cost effectiveness, minimized errors, and high efficiency with continuous data collection and analysis.

USE CASE

PRODUCT GRADING & QA/QC PACKAGING

Challenge

Manual grading and QA/QC practices for agricultural products lack standardized techniques and require tedious human inspection tasks. Today, the production aspects of food are as important as the product itself. The consumer is questioning the safety and quality of the food they consume, as well as where, how and by whom it’s produced and packaged. This increased attentiveness to food producers by the ultimate consumer is top of mind and is driving the implementation of new technology-based processes.

Solution

The efficiency and simplicity of Plainsight’s platform and vision AI solutions are gamechangers. Camera-based systems provide data and analysis for highly accurate process monitoring, product grading and packaging detections including validation of quality designations, sorting, labeling, weight measurements and SKU tracking. Plainsight vision AI can also detect issues or defects such as foreign objects or punctured packaging assisting with health and safety standards compliance. A centralized system for model management and device control provides production operations teams one source for issues and intelligence.

Whether you need our custom enterprise services to build your models or have resources to create your own with Plainsight’s vision AI platform, please let us know how we can help.

Contact us today to schedule a demo to see Plainsight in action.