Digital t echnologies in agricult ure and rural areas stat us report
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48427-Article Text-152209-1-10-20200610
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Precision farming Precision farming is a more accurate and controlled technique of farming which substitutes the repetitive and labour intensive part of farming, besides providing guidance regarding crop rotation. This distinguished key technologies that enable precision farming are high precision positioning system, geological mapping, remote sensing, integrated electronic communication, variable rate technology, optimum planting and harvesting time estimator, water resource management, plant and soil nutrient management, attacks by pest and rodents. Goals for precision farming Profitability Recognize crops and market strategically as well as prefiguring ROI (Return on Investment) based on cost and gross profit. Efficiency By putting in precision algorithm, improved, rapid and low cost farming opportunities can be utilized. This lets the overall use of resource efficiently. Sustainability Better socio-economic and environmental operation assures additive improvements in each season for all the performance indicators. Cases of precision farming management The detection of different levels of stress in a plant via high resolution images and multiple sensor data by AI. This entire set of data generated from multiple sources needs to be utilized as an input data for AI machine learning. This enables fusion of these data and features identification parameters for plant stress recognition (Figure 2). AI machine learning models developed are trained on a wide range of plant images and could recognize the different levels of stress in plants. This total approach can be categorized into four sequential stages of recognition, categorization, quantification and forecasting to take better and improved decisions (Figure 2). tải về 0.51 Mb. Chia sẻ với bạn bè của bạn:
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