METHODS AND SYSTEMS FOR ADAPTIVE PARAMETER SAMPLING

The invention relates to methods and systems for adaptive parameter sampling. This disclosure relates to precision agriculture that relies on monitoring micro-climatic conditions of a farm to make accurate disease forecasts for better crop protection and improve yield efficiency. Conventional systems face challenge in managing energy and bandwidth of transmission considering the humongous volume of data generated in a field through IoT based sensors. The present disclosure provides energy-efficient adaptive parameter sampling from the field by optimally configuring the parameter sampling ratethereby maximizing energy-efficiency. This helps reduce unnecessary traffic to a cloud while extending network lifetime. 本发明涉及用于自适应参数采样的方法和系统。本公开涉及精确农业，其依赖于监视农场的微气候条件以进行准确的疾病预测以更好地保护作物并提高生产效率。考虑到通过基于物联网的传感器在现场产生的大量数据，传统系统在管理能量和传输带宽方面面临挑战。本公开通过最佳地配置参数采样率从而最大化节省能量而从现场提供节省能量的自适应参数采样。这有助于减少不必要的云流量，同时延长网络生命周期。