In the world of food shortage, big data use in the agriculture sector to increase global agricultural productivity, would be a better option to fulfill the food demand for 10 billion people by 2050.
The challenges facing global agriculture are complex and are becoming difficult to handle properly. Growing global population, changing dietary attributes and varying climate conditions creating an alarming condition that has to tackled efficiently.
Global food production and its security for 10 billion people by 2050 is a major target for agriculture sector.
Besides all biotechnological and genetic engineering support, its need to get assistance from big data analysis.
We can achieve our productivity target by getting collaborative assistance from biotechnological and Data programs. In this article we just focus on data programs to enhance productivity.
Our world is saturated by data. Data is essential part of our lives. The more data being produced, the more pervading its utilization. There is a need to access, analyze, and manage vast volumes of data for successful operation of leading agribusinesses.
Many agribusinesses are trying to find ways to improve production techniques and to enhance production and to enhance forecasting to better optimize supply chains.
Agriculture sector is growing day by day and its becoming more diverse so the growing volumes od data need a proper program for better optimization.
External data coming from social media outlets and supplier network combined with sensor and machine data coming from agriculture equipment in the farm fields combine traditional sources of data. Today these data sources can include:
· Traditional enterprise data from operational systems
· Farm field sensor data (e.g. temperature, humidity, rainfall, sunlight)
· Farm equipment sensor data (from tractors, plows, and harvesters)
· Harvested goods and livestock delivery vehicles (from farms to processing facilities) sensor data
· Commodities trade data
· Financial forecast data
· Weather data
· Animal and plant genomics research data
Big Data Solutions
Big data solutions help us to get accurate forecasting and to enhance operational efficiency. These technologies enable the system to organize a variety of data more effectively and to improve insights.. This, in turn, broadens the analytics and predictive options leading to better outcomes.
Following is the list of areas where data analysis can help us to increase productivity.
· Weather data
· Improved forecasting of yields and production.
· Better optimized seeds and livestock and new methodologies that improve yields and production.
· Faster delivery of goods produced to distribution centers and consumers.
· Real-time decisions and alerts based on data from fields and equipment.
· Integrated production and business performance data for improved decision making.
· Rationalized performance data across multiple geographies.
· Modern agribusiness features tighter relationships between agriculture suppliers and the farming community.
Sensors
sensors are being used on transport vehicles and shipping containers to enhance optimization of goods delivery.
Big Data could constitute the foundation for a variety of new capabilities, including identifying correlations between farm field and weather and commodity data for optimal irrigation, fertilization, and harvesting of crops and optimal feeding and shipping of livestock to market.
More timely scheduling maintenance of equipment and minimization of energy usage can enable greater operational efficiency. Higher yield and reduced support costs are central to driving profitability and better customer experience or any major agribusiness.