公司规模
SME
地区
- America
国家
- United States
产品
- Granular
技术栈
- Data Analytics
- Mobile Applications
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 分析与建模 - 大数据分析
适用行业
- 农业
适用功能
- 商业运营
用例
- 预测性维护
- 供应链可见性(SCV)
服务
- 数据科学服务
关于客户
Running Lake Farms is a family-owned farm located in Pocahontas, AR. The farm was started in 1980 by Gregory Baltz, a graduate in Agricultural Engineering from the University of Arkansas. The farm primarily grows rice but also cultivates soybeans, corn, and peanuts. Over the years, the farm has been growing steadily. Gregory Baltz, the CEO of the farm, is actively involved in the daily operations of the farm and is constantly communicating with his crew to ensure smooth operations.
挑战
Running Lake Farms, a family-owned farm in Pocahontas, AR, was facing challenges in forecasting its profitability at the beginning of each season. The farm's profitability was dependent on various factors such as the cost of inputs, yield, and market prices. The farm was also struggling with identifying unprofitable fields and understanding the reasons behind their lack of profitability. The farm needed a solution that could help them analyze their data and make informed decisions.
解决方案
Running Lake Farms implemented Granular, a software solution that helps farmers manage their operations with data. Granular allows the farm to keep a full record of their input applications, helping them understand the cost of production per field. The software also provides analytics that help the farm identify which fields are more conducive to certain crops. This allows the farm to change their cropping plans based on expected financials. The farm uses Granular to analyze the previous years' production and identify profitable, marginal, and unprofitable fields. They then try to understand the reasons behind the profitability or lack thereof of each field.
运营影响
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.

Case Study
Intelligent Farming with ThingWorx Analytics
Z Farms was facing three challenges: costly irrigation systems with water as a limited resource, narrow optimal ranges of soil moisture for growth with difficult maintenance and farm operators could not simply turn on irrigation systems like a faucet.

Case Study
Greenhouse Intelligent Monitoring and Control Solution
Farming Orchids is the most successful form of precision farming in Taiwan, and also the most exported flower. Orchids need a specific temperature and humidity conditions to grow and bloom, and its flowering time may not be in line with market demands, so the price collapses when there is overproduction. Therefore, some farmers began to import automated greenhouse control systems for breeding and forcing, which not only improves quality, but also effectively controls the production period and yield to ensure revenue. In 2012, an orchid farmer built a Forcing Greenhouse of about 200 pings (approximately 661 Square Meters) in Tainan, Taiwan. The system integrator adopted Advantech’s APAX-5000 series programmable automation controllers to build the control platform, coupled with Advantech WebAccess HMI/SCADA software, to achieve cloud monitoring. The staff of the orchid field can monitor important data anytime via smart phone, iPad, and other handheld devices, and control the growth and flowering conditions. System requirements: In the past, most environmental control systems of orchid greenhouses in Taiwan used PLCs (Programmable Logic Controller) with poorscalability and control, and could not be connected to the Internet formonitoring from the cloud. For advanced database analysis and networking capability, the PC platform must be adopted. Therefore, PAC Systems (Programmable Automation Controller) with both PLC programming capabilities andPC functions is a better choice.The environmental control of the Orchid greenhouse switches on and off devices like fan, shade net, cooling/heat pump, liquid flow control, water-cooling wall etc. It is controlled by a control panel of electric controllers, and is driven by a motor, to adjust the greenhouse temperature, humidity, and other environmental conditions to the set parameters.

Case Study
Precision beekeeping with wireless temperature monitoring
Honeybees are insects of large economic value and provide a vital service to agriculture by pollinating a variety of crops. In addition, bees provide us with valuable products such as honey, beeswax, propolis, bee venom, etc. Monitoring of honeybee colony health, population, productivity, and environmental conditions affecting the colony health have always been exceedingly difficult tasks in apiculture. Research has shown that even small deviations (by more than 2°C) from the optimal temperatures have a significant influence on the development of the brood and the health of adult bees.

Case Study
Enabling Internet of Things Innovation in Agriculture
DigiBale, wanted to apply technology know-how and IP from implementations successfully to more agriculture sectors including cotton, forestry, sugarcane and cattle. However, farmers and growers still have worries about the connected technology.