A rising trend toward data-centric precision agriculture is being identified among farmers of all sizes and specialties. Many have begun applying specific precision agriculture practices, leveraging big data in order to increase yields and improve land management operations. Precision agriculture, also known as Site-Specific Crop Management (SSCM) or satellite farming, involves collecting real-time data on weather patterns, soil quality, and crop history in order to develop smarter processes and more accurate implementations for planting, fertilizing, maintaining, and harvesting.
For precision agriculture to succeed, growers must leverage accurate information from a variety of sources, aided by integrations between disparate systems used for observing crop behavior patterns. These technologies include soil moisture sensors, automated machinery with embedded GPS software, and aerial imaging drones. This data is then fed into a central platform where it is organized and presented in an intuitive dashboard. Precision agriculture produces large amounts of complex data -- also referred to as big data -- ranging from up-to-the-second temperature readings and pH levels. Nontechnical farmers will often seek external data analysts to help them understand the information and generate actionable insights. The more data that’s collected, the more precise agricultural operations will be. Implementing big data solutions and for satellite farming, however, can be expensive, costing growers tens of thousands for state-of-the-art equipment and business intelligence programs, which might not even contain the precision agriculture tools a farmer requires. For an all-inclusive big data agriculture solution, it is recommended that farmers seek out assistance from third-party developers that can guarantee seamless integrations with farmers’ existing systems. Custom agriculture software development companies often provide the best results, helping farmers implement big data solutions through rapid development.
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