AGRICULTUREA 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

Talk is divided into two parts:

Part-I:Importance of Agriculture in indiaSteps Already Taken at Government LevelIdentified Areas for enhancing Agriculture sector

Part-II:Computational Intelligence in Agriculture and EnvironmentIntelligent Environment Control for Plant ProductionIntelligent Robot in Agriculture

Conclusion

OUTLINE

PART : 1

•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

Importance of Agriculture

▫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

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.

PART : 2

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)

Photo-Synthetic Algorithm

DHAP(Knowledge string)

Photo-Respiration

Benson-CalvinCycle

Light (Stimulation)

Oxygen/CO2 concentration

CO2 Reservoir

GAP

Fitness

RuBP

Discard

Next Iteration

Poor

Copy G

ood

Atmosphere

o Any problem that can be solved by GA can also be solved by PS Algorithm

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

Hydroponic System

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.

Intelligent Robots in Agriculture

Strawberry Harvesting Robot

Displacement of a Robot

Currently, Research on “Agricultural robots” is active in Japan and Korea

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

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.