植物工場の研究開発 植物工場の研究開発

Japan Engineering & Science 分類:02_005-01 Confidence ★★★★★

Average annual pay
¥6.12M
≈ $38,915
Top pay (est.)
¥10.70M
Top 10% ¥9.18M
Pay in 5 years
¥6.94Mest.
2031
Pay in 10 years
¥7.87Mest.
¥6.77M–¥9.14M
Outlook score
61/100
★★★☆☆ Average
AI replacement risk
35%
Low
Labor demand
Average
Openings-to-applicants 0.87x

What 植物工場の研究開発 do

An English description is being prepared. Japanese description:

植物工場で生産する野菜等植物やその栽培方法等について研究・開発を行う。
 植物工場では野菜や苗を中心とした作物を、光、温度、湿度、二酸化炭素濃度、培養液などの環境条件を人工的に制御した施設内で、季節や天候、地域、場所等にとらわれずに効率的に連続生産する。植物工場には人工光型、太陽光型、太陽光・人工光併用型があり、生産システムの採算性、効率性が重視される。研究開発は、①建物、設備、機器とその管理、②生産する野菜等とその栽培方法の両面から進められている。ここでは、後者の研究開発について述べる。
 主な研究内容としては、工場生産に適した植物の選定と品種改良、生産性向上のための栽培プロセスのシステム化、経済的で効率的な育成環境の開発などがある。新しい品種やプロセス、環境を、実際に工場で試してみる実証栽培研究も行う。
 現段階では、養液を使った水耕栽培でレタス、サラダ菜、小松菜、ホウレンソウ、ミツバなど葉菜類を中心として生産体制が確立されており、植物工場が建設され、育成、収穫され、販売されている。一方、根菜類や果樹などについては、どのような作物が適しているか等々、研究課題は多い。

◇ よく使う道具、機材、情報技術等
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植物工場の研究開発 salary

The average annual pay for 植物工場の研究開発 in Japan is ¥6.12M (≈ $38,915; Basic Survey on Wage Structure (2025), national). The estimated median is ¥5.69M, the typical range is ¥4.08M–¥10.70M and the top 10% earn about ¥9.18M.

Average pay
¥6.12M
≈ $38,915
Median (est.)
¥5.69M
≈ $36,184
Low end (est.)
¥4.08M
Entry level, early 20s
Top 10% (est.)
¥9.18M
≈ $58,378
Top pay (est.)
¥10.70M
≈ $68,045
Hourly wage
¥3,000
2.5× the national minimum wage (¥1,177)
Advertised monthly wage
¥229,000
vs. last year +¥9,000

How does your pay compare with people your age?

Your numbers are not sent or stored. The distribution is estimated from Japan's national wage statistics, including pay differences by age.

Pay by ageest.

20s
¥4.47M
30s
¥5.37M
40s
¥6.16M
50s
¥6.88M

Estimated from the average pay and average age (43.9) using the age-wage curve of the Basic Survey on Wage Structure.

Pay by experienceest.

Entry level
¥4.52M
1–3 yrs
¥5.05M
3–5 yrs
¥5.59M
5–10 yrs
¥6.28M
10+ yrs
¥7.08M

Pay by employment typeest.

Full-time employee ¥6.12MPart-time ¥2.57MFreelance / self-employed ¥6.43MContract / temp ¥4.77M

The average hourly wage of ¥3,000 is 2.5× Japan's national average minimum wage of ¥1,177 (fiscal 2026). Minimum wage by prefecture →

Japanese pay is shown in yen (¥5.57M = 5.57 million yen ≈ 557万円). Dollar figures use the current rate of 157.25 yen per dollar and are for reference only; purchasing power differs.

Pay over time

YearAverage payEmploymentOpenings ratio
2021¥5.32M——
2022¥5.58M——
2023¥5.54M—0.70x
2024¥5.73M—0.73x
2025¥6.12M—0.87x

How median, percentiles and the pay range are defined →

Projected pay for 植物工場の研究開発 (3, 5 and 10 years)est.

Today ¥6.12M → in 3 years ¥6.60M → in 5 years ¥6.94M → in 10 years ¥7.87M (10-year range ¥6.77M–¥9.14M). The model assumes pay growth of +2.5% per year.

¥6.12M
Now
2026
¥6.60M
In 3 yrs
2029
¥6.09M–¥7.18M
¥6.94M
In 5 yrs
2031
¥6.25M–¥7.73M
¥7.87M
In 10 yrs
2036
¥6.77M–¥9.14M

What drives the annual growth rate

Base wage growth +1.8%Labor demand -0.16%Wage momentum +0.8%AI impact +0.11%Total +2.5% / yr

Projected pay = current pay × (1 + annual growth)^years. The annual growth rate starts from a base wage-growth rate and adds or subtracts labor demand (the job-openings-to-applicants ratio), wage momentum and AI replacement risk for each occupation. Projections are not guarantees. How it is calculated →

Outlook score for 植物工場の研究開発

61/100
★★★☆☆
Average · ranked #107 of all Japanese occupations
AI resistance
65 pts
Pay level
78 pts
Labor demand
34 pts
Wage momentum
81 pts
Aging workforce
64 pts

Each component is a percentile rank among all occupations in the same country (0–100). Weights: labor demand 25, wage momentum / openings 15, pay level 15, AI resistance 25, aging workforce 10 (Japan only), entry barrier 10.

Will AI replace 植物工場の研究開発? AI replacement risk

35%
Low
Ranked #181 safest from AI among all Japanese occupations
Very lowLowModerateHighVery high

How AI is changing this job

A written analysis for this occupation is being prepared.

AI replacement risk compares the parts of a job that are easy to hand to AI or software (processing information, documentation, repetitive computer work) with the parts that are hard to automate (physical work, working closely with people, judgment in unpredictable settings), using the MHLW job tag survey on work activities, work context, skills and knowledge. The result is a relative position among all occupations in the country, scaled to 0–100%. Methodology →

Labor demand for 植物工場の研究開発

Openings-to-applicants ratio
0.87x
ranked #360 of all Japanese jobs
Demand score
Average
44/100
Advertised monthly wage
¥229,000
Hello Work postings
Workers
—
Population Census
Average age
43.9
Hours per month
159
Openings in 5 years
+7.3%
est.
Openings in 10 years
+13.1%
est.

A ratio above 1.0 means there are more job openings than applicants (a labor shortage). The 5- and 10-year figures are estimates from the openings ratio, wage momentum and AI replacement risk.

The same job in the United States

植物工場の研究開発
Japan
Soil and Plant Scientists
United States
Median / average pay¥6.12M
≈ $38,915
$78,850
Pay in 10 years (est.)¥7.87M$104,600
Outlook score6164
AI replacement risk35% Low59% Moderate
Workers—16K

Matched by occupation (SOC code). Yen converted at 157.25 JPY/USD for reference; Japanese figures are averages, U.S. figures are medians, and the surveys define occupations differently.

Skills, education and requirements for 植物工場の研究開発

Licenses and certifications (Japan)

No specific license or certification is required.

How to become 植物工場の研究開発

The typical path in Japan is shown by the education, training and experience of current workers above and in the Japanese guidance below. A detailed English guide for this occupation is being prepared.

Guidance from job tag (Japanese)
入職にあたって、特に学歴や資格は必要とされないが、大学で農学・園芸学系、化学系、や遺伝子工学、薬学を修了しているか農業専門学校を卒業していると有利である。農業の自動化が注目を集めており、情報技術に関する専門性も有用である。
 栽培する野菜などの品質を高めるため、品種改良や新たな栽培技術の情報収集、関連する知識の吸収など、常に前向きで意欲的な姿勢が求められる。

Career path and how to earn more as 植物工場の研究開発

Career-path guidance is being prepared. Pay by experience is shown in the Pay section.

Pay and employment figures are national statistics. Projected pay, outlook scores and AI replacement risk are estimates from the Shigoto Zukan model, not guarantees. To request a correction, use the contact form. How to read the data
Sources: Basic Survey on Wage Structure (2025), Population Census and Hello Work employment statistics as published on the MHLW job tag site (retrieved Nov 1, 2026); Occupational Information Database (JILPT). Pay ranges, projections and scores are Shigoto Zukan estimates.