Abstract

In the research, an improved greenhouse self-propelled precision sprayer was designed. The traditional greenhouse spraying machine mainly relies on manual or single height and level operation, but in most cases, this kind of operation method cannot fully meet the requirements of spray. To address this issue, in earlier work an optimization framework was developed, where in step one a fast and accurate identification method for crop disease severity, and in step two design and control a Multiple Height and Level (MHL) rack and image recognition, remote control technology and visible light spectrum information and other configurations to achieve the expected spray needs. Here the aims are: 1) to develop step two; 2) to illustrate the potential precision spraying value and cost savings of both steps by comparing the optimization results with real operating data from traditional greenhouse self-propelled sprayers, as a benchmark. The analysis results show that the improved greenhouse self-propelled precision sprayer has higher uniformity and better stability than the traditional greenhouse self-propelled sprayer.

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