A D ECISION S UPPORT S YSTEM FOR OPTIMIZATION OF AGRONOMICAL INPUTS Paper prepared for presentation at the 20 th ICABR Conference ““T RANSFORMING THE B IOECONOMY : B EHAVIOR, I NNOVATION AND S CIENCE ”” Ravello (Italy): June , 2016 F RANCESCO C ONTÒ, G IANLUIGI D E P ASCALE, C LAUDIO Z AZA, N ICOLA F ACCILONGO Department of Economics, University of Foggia, Italy Lecturer: G IANLUIGI D E P ASCALE

AGENDA OF THE PRESENTATION  KEYWORDS  SUBJECT AND AIMS  THE NEW COMMON AGRICULTURAL POLICY  SHORT METHODOLOGY NOTE  EXPECTED VALUES  REFERENCES

KEYWORDS  D ECISION S UPPORT S YSTEM  A GRONOMICAL INPUT  C OBB -D OUGLAS

SUBJECT AND AIMS (Fountas S. et al., 2016) FARMS MATHEMATICAL MODEL DECISIONAL PHASE OPERATIVE PHASE

THE NEW COMMON AGRICULTURAL POLICY (Capitiano F. et al., 2016)  Qualitative Agriculture:  Healthy Food  Low environmental impact  Innovative Agriculture

SHORT METHODOLOGY NOTE COBB-DOUGLAS LINEAR PRODUCTION FUNCTION ( G OLDBERGER S., A ) A = parameter K = capital L = labour α = weight of capital β = weight of labour

SHORT METHODOLOGY NOTE - Variables F = quantity of fertilizers to use; P = quantity of pesticides to use; HR = Humidity relative; e v = partial pressure of the water vapor present at a given temperature; e s = partial pressure of the water present at saturation for given temperature; I = impoverishment of the land; A = parameter of external factors that simplify access to the markets; α = weight of fertilizers used; β = weight of pesticides used.

EXPECTED VALUES  M AKING THE ADOPTION OF CHEAP FASTER DECISIONS  R EDUCING A GRIGULTURAL I NPUT W ASTE  R EDUCING THE E NVIRONMENTAL I MPACTS How do variables interact among them?

REFERENCES C APITIANO F., G. E. (2016). CAP PAYMENTS AND SPATIAL DIVERSITY IN CEREAL CROPS : A N ANALYSIS OF I TALIAN FARMS. L AND U SE P OLICY, CE. (2010). T HE CAP TOWARDS 2010: M EETING THE F OOD, N ATURAL R ESOURCES AND T ERRITORIAL C HALLANGES OF THE F UTURE. B RUSSELL : E UROPEAN C OMMISION. D RUZDZEL M AREK J., F. R. (2002). D ECISION S UPPORT S YSTEMS. I N E NCYCLOPEDIA OF L IBRARY AND I NFORMATION S CIENCE, S ECOND E DITION. N EW Y ORK : A LLEN K ENT. EUN-MI HONG, J.-Y. C.-H.-T. (2015). DECISION SUPPORT SYSTEM FOR THE REAL-TIME OPERATION AND. IRRIGATION AND DRAINAGE, F OUNTAS S., C. G. (2015). F ARM MANAGEMENT INFORMATION SYSTEMS : C URRENT SITUATION AND FUTURE. C OMPUTERS AND E LETTRONICS IN A GRICULTURE, G OLDBERGER S., A. (1968). T HE INTERPRETATION AND ESTIMATION OF C OBB -D OUGLAS FUNCTION. E CONOMETRICA, H EAL, G. (2000). N ATURE AND THE M ARKETPLACE : CAPTURING THE V ALUE OF E COSYSTEM S ERVICES. I SLAND P RESS. H USEMANN C., N. N. (2014). F ARM M ANAGEMENT I NFORMATIONS S YSTEMS : A CASE STUDY ON A MULTIFUNCIONAL FARM. E CONOMICS OF A GRICULTURE, L IN, B. (2011). R ESILIENCE IN AGRICULTURE THROUGH CROP DIVERSIFICATION : ADAPTATIVE MANAGEMENT FOR ENVIRONMENTAL CHANGE. B IO S CIENCE 61 (3), O WEN P ARISH O., P. T. (1977). E QUATION FOR THE DETERMINATION OF HUMIDITY OF DEWPOINT AND PSYCHROMETRIC DATA. NASA T ECHNICAL N OTE. S ORESEN C.G., F. S. (2010). C ONCEPTUAL MODEL OF A FUTURE FARM MANAGEMENT INFORMATION SYSTEM. C OMPUTERS AND E LETTRONICS IN A GRICULTURE,

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