Database structure

Get Started. It's Free
or sign up with your email address
Database structure by Mind Map: Database structure

1. Weeds

1.1. Latin name (genus, species)

1.2. Author

1.3. Family

1.4. Synonyms

1.5. English names

1.6. German names

1.7. Photos

1.8. Description

1.9. Distribution

1.10. Ecology

1.11. Malignance

1.12. Control

1.12.1. prevention

1.12.2. mechanical elimination

1.12.3. herbicides

2. Pests

2.1. Latin name (genus, species)

2.2. Family

2.3. Synonyms

2.4. English names

2.5. German names

2.6. Photos

2.7. Description

2.8. Distribution

2.9. Biology

2.10. Malignance

2.11. Control

2.11.1. prevention

2.11.2. mechanical elimination

2.11.3. pesticides

3. Diseases

3.1. Latin name (genus, species)

3.2. Family

3.3. Synonyms

3.4. English names

3.5. German names

3.6. Photos

3.7. Description

3.8. Distribution

3.9. Biology

3.10. Malignance

3.11. Control

3.11.1. prevention

3.11.2. mechanical elimination

3.11.3. pesticides

4. Physiological defects

4.1. Factor name

4.2. Description

4.3. Photos

4.4. Control

5. Plants utilisation

5.1. Technology name

5.2. Description

5.3. Maschinery

6. Pesticides

6.1. Product name

6.2. Active ingredient(s)

6.3. Formulation type

6.4. Field of use

6.5. Application

6.6. Crops

7. Agricultural practices

7.1. Name of the practice

7.2. Description

7.3. Fuel consumption (l/ha)

7.4. Cost (EUR/ha)

8. Energy and industrial crops

8.1. Latin name

8.2. Author

8.3. Family

8.4. Synonyms

8.5. English names

8.6. German names

8.7. Photos

8.8. Uses

8.9. Description

8.10. Germplasm

8.11. Distribution

8.12. Ecology

8.13. Cultivation

8.14. Harvesting

8.15. Yields and economics

8.16. Energy

8.17. Weeds

8.18. Pests

8.19. Diseases

8.20. Stress factors

8.21. Composition

8.21.1. seeds

8.21.2. leaves

8.21.3. stem

8.22. Properties

8.22.1. seeds

8.22.2. leaves

8.22.3. stem

8.23. Yield of dry matter (t/ha)

8.23.1. whole plant

8.23.2. seeds

8.23.3. plant

8.23.4. stem

8.24. Moisture at the time of harvest (%)

8.25. Regional categorization of harvest

8.26. References

9. Figures

9.1. Number

9.2. Title

9.3. Description

9.4. Image

10. People

10.1. E-mail (Username)

10.2. Password

10.3. First name

10.4. Last name

10.5. Title(s)

10.6. Home page

10.7. Photo

10.8. Organization

10.9. Website

10.10. Address

10.11. City

10.12. Zipcode

10.13. Country

10.14. Phone

10.15. Mobile

10.16. Fax

10.17. IM

10.17.1. type

10.17.2. username

10.18. About me

10.19. Categories (author, reviewer, editor,...)

10.20. Publish my profile

11. Tasks

11.1. Title

11.2. Authors

11.3. Anotation

11.4. Fulltext

11.5. Downloads (software, data,...)

11.6. Keywords / tags