Precision Farming For Increased Yields
Precision farming utilizes technologies like GPS, GIS, yield monitors, variable-rate technology, and remote sensing to optimize crop yields. Farmers can now precisely analyze soil nutrients, moisture levels, topography and other factors across their fields. This allows targeted and variable application of seeds, fertilizers, irrigation and pesticides only where needed. Precision tools help farmers maximize profits while minimizing waste of costly inputs. Satellite imagery and sensors also monitor crop health for timely interventions. Several studies show precision farming can increase yields by 10-20% using same or lesser inputs.
Advanced Farming For Higher Efficiency
Many Advanced Farming tasks are now automated using robots, drones and driverless equipment. Tractors autosteer themselves while plowing or seeding in straight lines for uniform coverage. Drones scan fields to detect diseases, inspect crops and enable site-specific spraying. Self-driving tractors combined with precision tools can work continuously at night too. Automated barns take care of livestock feeding, health monitoring and milking. This boosts productivity as one farmer can now manage larger acreage with less labor. Livestock monitoring ensures animal welfare while optimizing meat/milk production. Many farms rely on autonomous greenhouse management systems as well.
Big Data AI For Improved Decision Making
IoT sensors in fields, equipment, greenhouses generate massive data on soil, weather, plant growth which is analyzed using machine learning algorithms. This aids real-time problem detection. For example, if a section shows drought stress or pest infestation, farmers get alerts to mitigate damage. AI aids in estimating optimal sowing windows, predicting yields and impact of climate change. Drones and computer vision help identify weed/disease infested plants early for selective treatment. Predictive maintenance of equipment through IoT minimizes downtime. Big data is revolutionizing agriculture from production to supply chain management.
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