Data analytics in agriculture
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Date
2024
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Publisher
NHCE
Abstract
Agriculture data analytics is the branch of big data applications that examines agricultural businesses in order to optimise productivity, efficiency and sustainability. Data analytics enables farmers and agronomists through actionable insights provided by the integration of advanced statistical tools and machine learning algorithms to help them make the right decisions. Study of precision agriculture becomes data analytics for crop management, soil health monitoring with IOT technology, and sensors to optimize water resource management; in addition pest and diseases control,and being also predictive capability highly effective in the entire agricultural process. In order to collect correct and up-to-date data, it is vital for your business how well you deploy data gathering tools like sensors, drones, satellite imagery)IoT device), weaher station etc. This data is then analysed using statistical tech such as RA, TSA(timeseries analysis) and cluster analysis to enhance yield percentages predictions;to minimise the wastage of resources used in farming or crop production which includes fertilizers, manures etc.;and for a variety ways depending upon its efficiency including risk management. Use of data analytics in agriculture is also helping in farm operations and eventually to sustainable agricultural practices contributing indirectly for food security.