Enhancing Agriculture sector, ICT, Robotics, Computational Intelligence, Intelligent Environment Control, Use of ICT,Use of information and communication technology

1. AGRICULTURE
A Field for Development using Information
and Communication Technologies
PRESENTED BY:
Baibhav Agrawal
( 2015 MB 11 )
Piyush Agarwal
( 2015 MB 22 )
COURSE TUTOR:
Dr. G. P. Sahu

2. Talk is divided into two parts:
Part-I:
Importance of Agriculture in india
Steps Already Taken at Government Level
Identified Areas for enhancing Agriculture sector
Part-II:
Computational Intelligence in Agriculture and Environment
Intelligent Environment Control for Plant Production
Intelligent Robot in Agriculture
Conclusion

4. • Sector status in India
▫ Acquired 14% of India's GDP
▫ Means of living for almost 66% of the employed class in India
▫ Occupied almost 43% of India's geographical area

5. ▫ Opens competition for agriculture products
▫ Removal of unnecessary restrictions — movement, stocking.
▫ Good price to farmer
▫ Substantial technology growth in coming years
Steps Already Taken at Government Level

6. Identified Areas for enhancing Agriculture sector
• Needs monitoring on
▫ Agricultural Crop Conditions
▫ Weather and Climate
▫ Ecosystems
• Decision support for agricultural planning and Policy-Making
• On the basis of Artificial Intelligence interest
▫ Computational Intelligence in Agriculture and the Environment
▫ Intelligent environment control for plant production systems
▫ Intelligent robots in agriculture
▫ An expert geographical information system for land evaluation
▫ Artificial neural network for plant classification using image processing.
▫ Control of green house.

8. Computational Intelligence in Agriculture and
Environment
• Search Procedures
• Exhaustive techniques (random walk)
• Calculus based methods (gradient methods)
• Partial knowledge techniques (hill climbing)
• Knowledge based techniques (Production rule systems)
• Biologically inspired algorithms (GA and immune) .
• Bio-system Derived Algorithms (BDAs)
• Photosynthetic Algorithm (PA)
• Genetic Algorithm (GA)

9. Photo-Synthetic Algorithm
DHAP
(Knowledge string)
Photo-
Respiration
Benson-
Calvin
Cycle
Light
(Stimulation)
Oxygen/CO2
concentration
CO2 Reservoir
GAP
Fitness
RuBP
Discard
Next Iteration
Poor
CopyGood
Atmosphere
o Any problem that
can be solved by GA
can also be solved
by PS Algorithm

10. Intelligent Environment Control For Plant Production
System
Why it is required?
• To increase productivity of crops
• Care for special herbal valued plants, environment diverse
plants etc., which in turn increases our export value
• To develop decision making support

11. Hydroponic System

13. Plant Growth Optimization Problem
• In plant production, good fruit yield requires an optimal balance
between
• Vegetative growth (e.g. root, stem, leaf growth)
• Reproductive growth (e.g. flower and fruit growth)
• NNs and GA provides optimal set points of the nutrient concentration.
• The ratio of Total Leaf Length to Stem Diameter defines as a predictor
for plant production growth.

14. Intelligent Robots in Agriculture
Strawberry Harvesting Robot

15. Displacement of a Robot
Currently, Research on “Agricultural robots” is active in Japan and Korea

16. Conclusion
• Need for AI focus on Agriculture sector is discussed
• Identified intelligent approaches which are useful for mechanizing
complex agricultural systems
• Growing Research and technology should contribute to the basic
amenities in agriculture

17. References
[1] D.E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning. Reading, MA:
Addison Wesley, 1989.
[2] J.B. Bowyer and R.C. Leegood, “Photosynthesis,” in Plant Biochemistry, P.M. Dey and J.B. Harborne,
Eds. San Diego, CA: Academic, 1997, pp. 49-110.
[3] N. Kawamura, K. Namikawa, T. Fujiura, and M. Ura, “Study on agricultural robot,” J. Jpn. Soc.
Agricultural Mach., vol. 46, no. 3, pp. 353-358, 1984.
[4] Y. Hashimoto and K. Hatou, “Knowledge based computer integrated plant factory,” inProc. 4th Int.
Cong. Computer Technology in Agriculture, 1992, pp. 9-12.
[5] Y. Hashimoto, “Applications of artificial neural networks and genetic algorithms to agricultural
systems,” Comput. Electron. Agriculture, vol. 18, no. 2,3, pp. 71-72, 1997.
[6] Yasushi Hashimoto, Haruhiko murase, “Intelligent systems for agriculture in japan”. IEEE Control
systems Magazine, Oct 2001.