Estimation of aboveground biomass of Alfalfa using field robotics
Jasanmol Singh; Ali Bulent Koc; Matias Jose Aguerre; John P. Chastain · 2024 · Smart Agricultural Technology
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Alfalfa is a high-yielding forage crop that is widely grown in the United States for grazing, hay and silage making. A proper maintenance of these grasslands is necessary to ensure optimum productivity and profits. The pre-harvest estimation of biomass yield helps in quantifying the profits and optimizing the forage allocation in advance. Most traditional methods of forage estimation are relatively laborious and time-consuming. Recent developments in contact and remote sensing technologies opened numerous paths for performing aboveground biomass estimation tasks with flexibility and easiness.
Abstract by Jasanmol Singh; Ali Bulent Koc; Matias Jose Aguerre; John P. Chastain, Smart Agricultural Technology (2024) — licensed CC BY 4.0.
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Metadata source: DOAJ · DOI 10.1016/j.atech.2024.100597