':•:ent. rd~ ization is tl~:>., 'd' Hp by the heavy cos~ :~ ':r.vol v•:>.j .~s L"t" .~~ .:iid·get• trained personne~ and data-proces~ i.nq fac i, i ti~:~s are con- ~ ~.e$·ned. ~~c::on(l!fi tilt receiltty there 101as a bias against. ~h~ rur·a~ econo­ tnl~-t .:..nd more att.ent.i cen ana resources were given to ::t-.a :.if-' called "moo­ e .. ., ~ect.o rs"• ;\!<~···"·' '!:dvstries <Jnd urbaP sectors. !n thi~ respect. it ·;h~,u~-d t>e noto•1 tnat ·there is better information un the agricu!t.ur ai ;"Jtputs- what t.tle rur"ll sec:t.or produces for cjt.les or for eKports­ ~han on the peopt·e who carried out that production and on the rural ~•ot::i~ty. Fort.undte~y t.h~-s bias i~ diS<..ippearing u.i the strategic .. o,~ of a9riculture in national oevelopment is being widely recognized. !.!'~irf11ft the retat ~fve neglect of the lllic,-o- 4'!conomic aspects <>f the rural sector can t.e attributed to a certain bias against the micvo-economic type ()f relations in the p1anner•s vision of the devel­ opment policy.. liowever. t.he planning in terms of macro-aggregates is more and uon~ distant fro"' economic realities as the sophistication of the ·productiGn technotoqies and marl<etinq channels increases. The agricultural sector is no longer a homogeneous society; it is rdther the juxtaposition of different techno1oqical levels, each one having its own rationality and behaviour.. each one requestin g specific treatment in developm ent strategy. 'fhe formali zed planning mooe1s are bound to be wide'y used if'~ the near future; thus it is the duty of the statistical organizations to prepare right now the data basis requried by these mode~~. This involves change~ in the structure of the statistical orgdnization towards t1t0re decentra1 ization, the systematic i!11p1ementation of far111 11 -14 - su~veys wi~h sample st~atification being tuneo to the models• rtquire­ ments ana the diversific ation of tne data sources. in particular the 