Evidence map›Paper›PMID 35873963›Full record

ReviewFrontiers in plant science2022

Research on Methods Decreasing Pesticide Waste Based on Plant Protection Unmanned Aerial Vehicles: A Review.

Heming Hu, Yutaka Kaizu, Jingjing Huang, Kenichi Furuhashi, Hongduo Zhang, Ming Li, Kenji Imou

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Heming HuGraduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
Yutaka KaizuGraduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
Jingjing HuangHunan Agricultural Equipment Research Institute, Changsha, China.
Kenichi FuruhashiGraduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
Hongduo ZhangGraduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
Ming LiHunan Agricultural Equipment Research Institute, Changsha, China.
Kenji ImouGraduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In plant protection, the increasing maturity of unmanned aerial vehicle (UAV) technology has greatly increased efficiency. UAVs can adapt to multiple terrains and do not require specific take-off platforms. They do well, especially in farmland areas with rugged terrain. However, due to the complex flow field at the bottom of a UAV, some of the droplets will not reach the surface of a plant, which causes pesticide waste and environmental pollution. Droplet deposition is a good indicator of the utilization rate of pesticides; therefore, this review describes recent studies on droplet deposition for further method improvement. First, this review introduces the flight altitude, speed, and environmental factors that affect pesticide utilization efficiency and then summarizes methods to improve pesticide utilization efficiency from three aspects: nozzles, electrostatic sprays, and variable spray systems. We also point out the possible direction of algorithm development for a UAV's precision spray.

Indexed as

droplet depositiondroplet driftelectrostatic sprayprecision agricultureunmanned aerial vehiclevariable spray

Identifiers

PMID35873963
PMCPMC9301381

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.