DAVE: Optimizing Wasabi Agriculture Through Automation and Successive Approximation

作者: Jayden Lefebvre

DOI: 10.47611/JSRHS.V9I1.1156

关键词: Intensive farmingCrop qualityAgricultural engineeringAgricultureWasabia japonicaExtensive dataEnvironment controlledAllyl isothiocyanateComputer science

摘要: Wasabi agriculture continues to predominantly rely on traditional practices. There currently exists an abundance of botanical literature surrounding the optimization wasabi growth environment increase crop quality, however this research is detached and independent. Considering recent rise prominence cyber-agriculture technology, its use in further optimizing should be considered. By designing constructing two wasabi-oriented food computer prototype iterations, uniting synchronizing results existing research, growing Wasabia japonica plants inside these computers, it was found that despite widely reported difficulty farming, a strong contender for novel cyber-agriculture: plant tissues showed 69.3% flavour compound (allyl isothiocyanate) concentration overall. The also exhibited 74.7% decrease overall mass, pointing well-documented phenomenon dubbed “dilution effect” present intensive agriculture. Overall, given future design improvements more extensive data collection, there possibility revolutionize by engineering solutions tailored growth.

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