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Eme ging Blockchain & Dis ibu ed Ledge
Technologies in Digi al Ag icul u e - Pe spec i es in
he AI E a and Challenges
E osyni Bi akou
Ag icul u al Uni e si y o A hens
A hens, G eece
[email p o ec ed]
Cons an ina Cos opoulou
Ag icul u al Uni e si y o A hens
A hens, G eece
[email p o ec ed]
Eugenia Ka amouzi
Rezos B ands S.A.
Pa as, G eece
[email p o ec ed]
Ma ia N aliani
Ag icul u al Uni e si y o A hens
A hens, G eece
[email p o ec ed]
Ca e ina Cons an inou
Rezos B ands S.A.
Pa as, G eece
[email p o ec ed]
Kopilo ić Nikola
Te a Consul ing
No i Sad, Se bia
[email p o ec ed]
Kons an inos Demes ichas
Ag icul u al Uni e si y o A hens
A hens, G eece
[email p o ec ed]
Panagio is Panopoulos
Rezos B ands S.A.
Pa as, G eece
[email p o ec ed]
Dimi ios Tsolis
Rezos B ands S.A.
Pa as, G eece
[email p o ec ed]
Abs ac —This a icle s udies he bene i s, challenges and
u u e po en ial o combining blockchain, Dis ibu ed Ledge
Technologies and A i icial In elligence in digi al ag icul u e.
Thei con e gence p esen s signi ican oppo uni ies in c i ical
a eas o ag icul u e, such as supply chain aceabili y, inancial
inclusion, en i onmen al moni o ing, and decen alized da a
go e nance. These echnologies can shape he u u e o digi al
ag icul u e by de eloping inclusi e, in elligen , and
decen alized sys ems ha a e bo h echnologically ad anced
and aligned wi h social equi y and en i onmen al sus ainabili y.
Keywo ds—Blockchain, Dis ibu ed Ledge Technologies,
Digi al Ag icul u e, Secu i y, T aceabili y, Sma Con ac s.
I. INTRODUCTION
The con e gence o digi al echnologies is ede ining he
landscape o mode n ag icul u e. As global ood sys ems ace
inc easing p essu e om clima e challenges, popula ion
g ow h, and sus ainabili y demands, he in eg a ion o
inno a i e digi al solu ions has become impe a i e. Among
hese, blockchain and Dis ibu ed Ledge Technologies
(DLTs) ha e eme ged as ans o ma i e ools wi h he
po en ial o enhance anspa ency, aceabili y, and us
ac oss ag icul u al alue chains [1], [2]. Concu en ly, he
apid e olu ion o A i icial In elligence (AI) is unlocking new
dimensions in da a-d i en decision-making and au oma ion,
u he ampli ying he capabili ies o blockchain-based
sys ems.
This pape explo es he syne gies be ween blockchain,
DLTs, and AI in he con ex o digi al ag icul u e (DA),
o e ing a o wa d-looking pe spec i e on how hese
echnologies can join ly add ess long-s anding challenges,
such as supply chain ine iciencies, da a silos, and p o enance
e i ica ion. I also c i ically examines he ba ie s o adop ion
ha should be o e come o ealize he ull po en ial o hese
echnologies [3]. By si ua ing blockchain and DLTs wi hin he
b oade AI-d i en ans o ma ion o ag icul u e, his s udy
aims o con ibu e o he ongoing discou se on sus ainable
inno a ion in ag i- ech ecosys ems.
The s uc u e o he pape is as ollows: he backg ound
sec ion includes basic no ions o blockchain and DA, as well
as he main ba ie s ha hinde blockchain in eg a ion in o
ag icul u e. Then, wo case s udies demons a e good
p ac ices o blockchain applica ion in speci ic ag icul u al
domains. In he nex wo sec ions, he con e gence o
blockchain and AI in DA is p esen ed, elabo a ing on he
bene i s and he adop ion pe spec i es co espondingly. Nex ,
he challenges and u u e esea ch oppo uni ies a e discussed.
Finally, he conclusions o he pape a e gi en.
II. BACKGROUND
Blockchain is a o m o DLT ha acili a es he secu e,
anspa en , and immu able eco ding o da a ac oss a
decen alized ne wo k [4]. T ansac ions o da a en ies a e
o ganized in o blocks, c yp og aphically connec ed o
p eceding ones, and con i med h ough consensus
mechanisms, like P oo o Wo k o P oo o S ake. DLTs
encompass mo e han jus adi ional blockchains, suppo ing
di e se s uc u es, such as di ec ed acyclic g aphs and
pe missioned ledge s, each wi h unique consensus p o ocols
and le els o decen aliza ion [5]. These sys ems enable
eliable collabo a ion among mul iple pa ies, elimina ing he
need o cen al in e media ies, making hem pa icula ly
e ec i e in complex, mul i-s akeholde en i onmen s, like
ag icul u e.
Once p ima ily linked o c yp ocu encies, such as Bi coin,
blockchain has ans o med in o a gene al-pu pose echnology
wi h wide- anging applica ions ac oss a ious indus ies. In
he inancial sec o , i suppo s decen alized inance (DeFi)
and enables seamless c oss-bo de paymen s. In supply
chains, i enhances anspa ency and aceabili y om sou ce
o end use . In heal hca e, i sa egua ds pa ien da a and
consen p ocesses and in he ene gy indus y, i enables
decen alized ene gy ading. These di e se applica ions
unde sco e i s lexibili y in asse acking, pe mission
managemen , and au oma ion h ough sma con ac s,
capabili ies ha a e inc easingly being applied in DA [6].
DA in ol es le e aging in o ma ion and communica ion
echnologies o imp o e and op imize ag icul u al p ocesses.
This digi al shi in ag icul u e is powe ed by cloud
compu ing, edge echnologies, and in eg a ed pla o ms ha
ga he , p ocess, and isualize eal- ime da a om he a m. In
addi ion, sma a ming expands on his concep by
inco po a ing senso ne wo ks, In e ne o Things (IoT)
de ices, d ones, geog aphic in o ma ion sys ems, sa elli e
image y, and machine lea ning o enable p ecise, da a-d i en
decisions di ec ly a he ield le el. I s main goals include
imp o ing esou ce e iciency, o ecas ing yields, managing
pes s, and p omo ing sus ainable p ac ices [7].
Blockchain emains a p omising echnology o DA.
None heless, he e a e s ill many challenges ha ha e o be
add essed. In he con ex o aceabili y wi hin DA, he
eliable acquisi ion o da a collec ion, holis ic da a in eg i y
and he complexi y o in eg a ion in o he exis ing a ming
sys ems a e included amongs o he s. Fu u e esea ch
ac i i ies may ocus on exis ing and new DLT echniques and
sys ems o achie ing eliable aceabili y o ood p oduc s in
supply chains [8].
One o he bigges challenges wi h blockchain and DLT is
scalabili y and pe o mance, pa icula ly when dealing wi h
la ge-scale ag icul u al supply chains. Resea ch should be
conduc ed so as o in es iga e and de elop me hods and use
o ools o op imizing he pe o mance and scalabili y o
blockchain and DLT, while also ensu ing ha hey emain
secu e and decen alized. Mo eo e , he e a e many di e en
and he e ogenous blockchain and DLT pla o ms, and
ensu ing in e ope abili y be ween hem is c i ical o
achie ing widesp ead adop ion in he ag icul u al sec o .
Resea ch should be de eloped so as o analyze exis ing
s anda ds and p o ocols o in e ope abili y, as well as o
implemen me hods o in eg a ing blockchain and DLT wi h
o he eme ging echnologies, such as IoT and AI [9].
The adop ion o sma con ac s in DA may ace se e al
challenges, including complexi y, secu i y and eliabili y.
Sma con ac s ope a e based on p ede ined ules and
condi ions. These can be complex o de elop and execu e,
especially o a me s and s akeholde s wi hou echnical
expe ise. Also, ensu ing he secu i y o sma con ac s is
pa amoun , as ulne abili ies in he code can lead o isks,
such as hacking, manipula ion o da a [2], and inancial losses
[10]. Resea ch e o s could ocus on me hodologies and good
p ac ices o achie e eliabili y o sma con ac s, which
depend on unde lying blockchain echnology o execu ion.
In o de o o e come he abo e-men ioned obs acles, i is
p oposed o s udy he con e gence o blockchain and AI in
DA. The combined in eg a ion o hese echnologies in DA
can c ea e powe ul syne gies ha con ibu e o enhancing
e iciency and us and d i ing inno a ion in he sec o [11].
III. CASE STUDIES
In his sec ion, wo case s udies, namely s awbe ies and
walnu s, a e p esen ed o demons a e good p ac ices o
blockchain applica ion in speci ic ag icul u al domains.
A. S awbe ies
S awbe ies, one o he mos widely aded ui s
wo ldwide, ha e expe ienced consis en g ow h in hei
plan ing and ha es a ea, and yield in ecen yea s [12]. They
a e in high demand ac oss bo h he Eu opean esh ma ke and
he ood indus y [13]. Technologies like blockchain and AI
can g ea ly bene i his sec o . Sea ching cu en bibliog aphy,
i becomes e iden ha he po en ial o combining blockchain
and AI o s awbe ies is no ye explo ed. Howe e , he e a e
some good p ac ices o blockchain implemen a ion. Walma
uses blockchain o ace he o igin o o e wen y- i e
p oduc s, including s awbe ies, allowing in his way
consume s o au hen ica e he p oduc s’ jou ney [14].
Ano he case ega ds he collabo a ion o be y p oduce s
wi h he IBM Food T us pla o m ha enables hem o ack
hei p oduce om a m o able, ensu ing eal- ime isibili y
in o p oduc o igin, handling condi ions, and dis ibu ion
pa hways [15]. Mo eo e , ano he example ega ds
in eg a ing blockchain echnology wi h IoT de ices o
imp o e he e iciency and secu i y o s awbe y shipmen s.
In his app oach, IoT senso s moni o c i ical pa ame e s, such
as empe a u e, humidi y, and loca ion, h oughou he
anspo a ion p ocess, ensu ing op imal condi ions o he
pe ishable goods. The collec ed da a is hen eco ded on o a
blockchain, p o iding an immu able and anspa en ledge
accessible o all s akeholde s, including a me s, anspo e s,
e aile s, and consume s [16].
Analyzing hese case s udies o s awbe y cul i a ion, i
is e inced ha blockchain echnology can be bene icial o
his cul i a ion in a ious in e dependen aspec s:
T anspa ency and T aceabili y: Blockchain echnology
enhances in en o y aceabili y and anspa ency wi hin
supply chains. I allows o eal- ime acking and ensu es a
secu e and unal e able eco d o acking he o igin and
jou ney o s awbe ies, namely om a m o o k; Food
Sa e y: Blockchain helps mi iga e ood sa e y isks,
pa icula ly o s awbe ies ha a e pe ishable i ems, and
imp o e ood quali y h ough moni o ing. This blockchain
implemen a ion helps a oid e o s, and ine iciencies and
p o ides swi esponse o any anomalies de ec ed o
s awbe ies du ing ansi and apid ecalls; Fai T ade and
Au hen ici y: Blockchain enables di ec paymen s o
s awbe ies p oduce s, educing eliance on in e media ies.
Also, i e i ies ce i ica ions and p e en s aud; Sma
Con ac s o Paymen s: Blockchain ensu es ha paymen
e ms a e execu ed exac ly as ag eed upon; Sus ainabili y:
Blockchain con ibu es o sus ainabili y by imp o ing
in en o y managemen and educing was e; and Consume
Τ us : Blockchain ensu es compliance wi h egula o y
s anda ds hus mee ing g owing consume demands o ood
sa e y and quali y. I can o e in e ac i e expe iences wi h
a me s’ a m- o- able s o ies wi h consume s, gi en e idence
on e hical p ac ices, ul ima ely enhancing he ma ke
oppo uni ies o s awbe ies.
B. Walnu s
The Walnu Fund se es as a p ac ical case s udy o
blockchain applica ion in ag icul u e, demons a ing he
easibili y and bene i s o in eg a ing digi al ledge
echnologies in o a ming in es men s. I s app oach aligns
wi h he b oade mo emen owa ds DA, whe e echnology
enhances sus ainabili y, anspa ency, and economic iabili y
[17].
The Walnu Fund ep esen s an inno a i e model a he
in e sec ion o sus ainable ag icul u e and blockchain
echnology. Es ablished as he wo ld's i s online ag icul u e
in es men pla o m ocused on walnu plan a ions, he
Walnu Fund allows indi iduals o in es in ully managed
walnu ees. In es o s can pa icipa e wi h a minimum
in es men , making i accessible o a b oade audience. The
und emphasizes long- e m, sus ainable e u ns, wi h walnu
ees o e ing yields o e se e al decades.
In 2024, he Walnu Fund launched i s i s ini ial oken
o e ing, ma king a signi ican s ep in okenizing ag icul u al
asse s. Each oken co esponds o a sha e in he yield o a
walnu ee, p o iding a anspa en and decen alized me hod
o in es o s o ack and claim hei e u ns.
This case exempli ies how blockchain can be applied in
ag icul u e o enhance anspa ency, aceabili y, and in es o
engagemen . By okenizing eal-wo ld ag icul u al asse s, i
b idges he gap be ween adi ional a ming and mode n
digi al inance. This model showcases he po en ial o
blockchain o e olu ionize in es men in ag icul u e, making
i mo e inclusi e, e icien , and democ a ic.
IV. THE CONVERGENCE OF BLOCKCHAIN AND AI IN DA
The con e gence o blockchain and AI in DA ep esen s a
signi ican leap o wa d in he ques o mo e anspa en ,
au onomous, and da a-in elligen ood sys ems. While each
echnology independen ly o e s subs an ial bene i s, hei
combined applica ion unlocks no el unc ionali ies ha
add ess pe sis en challenges in ag icul u al ecosys ems-
anging om da a agmen a ion and aud o ine iciencies in
decision-making and esou ce managemen . In he ollowing,
signi ican bene i s o his con e gence o DA a e
analy ically p esen ed.
A. Da a In eg i y Mee s In elligen Analy ics
Blockchain p o ides a ampe - esis an , e i iable da a
laye , ensu ing ha inpu s in o AI models a e us wo hy. In
ag icul u al con ex s, whe e da a o en comes om di e se,
un e i ied sou ces [18]- such as IoT senso s, mobile apps, and
ield agen s - his syne gy is c ucial. Fo ins ance, AI
algo i hms ained on au hen ica ed blockchain-s o ed da a
(e.g., c op yields, wea he pa e ns, pes icide usage) can
deli e mo e accu a e p edic ions and diagnos ics, educing
he isks o model bias o manipula ion.
B. Au oma ed and T us ed Decision-Making
Combining p edic i e capabili ies o AI wi h blockchain-
enabled sma con ac s makes easible eal- ime, au oma ed
decision-making ha is bo h audi able and sel -en o cing. In a
p ecision a ming scena io, AI can de e mine op imal
i iga ion schedule based on wea he o ecas s and soil da a,
while blockchain-based con ac s au oma ically ac i a e
i iga ion sys ems o no i y s akeholde s wi hou manual
in e en ion, ensu ing anspa ency and accoun abili y a each
s ep.
C. Decen alized AI Ma ke places and Fede a ed Lea ning
The eme gence o decen alized AI and ede a ed lea ning
models u he s eng hens his con e gence. Fa me s and
ag i- ech companies can ain AI models locally on hei
de ices o edge nodes wi hou ans e ing sensi i e da a, hen
agg ega e insigh s on a blockchain o wide use. This
p omo es da a p i acy, model obus ness, and collabo a i e
inno a ion, especially in smallholde a ming communi ies
wa y o cen alized da a ha es ing.
D. Tokeniza ion and Incen i e Mechanisms
Blockchain okeniza ion capabili ies in oduce new
incen i e s uc u es o encou age da a sha ing and sus ainable
p ac ices. AI can assess he quali y o ele ance o sha ed da a
(e.g., pes ou b eak epo s, c op moni o ing), while
blockchain enables ai and anspa en dis ibu ion h ough
digi al okens. This model no only d i es pa icipa o y da a
ecosys ems, bu also democ a izes access o ag i-digi al
economies.
E. Enhanced T us in Human-AI Collabo a ion
In ag icul u al domains, whe e us in digi al sys ems
emains low, he audi able na u e o blockchain builds
con idence in AI-d i en decisions. S akeholde s can ace he
da a lineage, model logic, and decision a ionale- enabling
explainable AI (XAI) wi hin us ed amewo ks. This is
especially c i ical in policy-sensi i e a eas like ood sa e y,
land use, and clima e adap a ion.
F om he abo e-men ioned examples, i is shown ha
oge he , blockchain and AI, a e no me ely addi i e in
ag icul u e- hey a e mu ually enabling a new class o
decen alized, in elligen ag icul u al sys ems. Thei
con e gence suppo s a shi om siloed digi al ools owa d
in e ope able, a me -cen ic ecosys ems ha can scale
sus ainably ac oss egions and alue chains.
V. ADOPTION PERSPECTIVES OF BLOCKCHAIN AND AI IN DA
The adop ion o blockchain and AI in DA can be iewed
h ough di e en pe spec i es. In his wo k, ou majo
pe spec i es a e examined, namely echnological, economic,
egula o y and policy, and social and e hical.
Ini ially, om he echnological pe spec i e, he
con e gence o blockchain and AI wi h IoT and edge
compu ing is a c i ical d i e o p ecision ag icul u e. IoT
de ices collec high- equency da a, which AI p ocesses o
guide a m ope a ions. Blockchain can hen eco d and e i y
his da a o aceabili y and au oma ion h ough sma
con ac s [19]. Howe e , issues o scalabili y (especially in
public blockchains, like E he eum) and in e ope abili y
be ween di e en pla o ms and legacy sys ems hinde
widesp ead adop ion [20]. Cu en solu ions, such as
sidechains, sha ding, and c oss-chain p o ocols, a e
p omising, bu s ill in ea ly deploymen s ages in ag icul u al
con ex s.
F om an economic s andpoin , blockchain and AI
echnologies can educe ansac ion cos s, elimina e
in e media ies, and minimize aud- especially in supply
chains and ag i- inance. Sma con ac s au oma e paymen s,
educing ime and adminis a i e o e head. Ye , o
smallholde a me s, he cos o implemen a ion- ha dwa e,
in e ne access, echnical suppo - can ou weigh pe cei ed
sho - e m bene i s. Cos -bene i analyses in Sub-Saha an
A ica and Sou h Asia sugges ha adop ion is mo e easible
when bundled wi h digi al ad iso y o coope a i e-based
models [21].
F om he egula o y and policy pe spec i e, a majo
ba ie o blockchain-AI adop ion in ag icul u e is he lack o
clea egula o y amewo ks. Issues, like sma con ac
legali y, da a so e eign y, and digi al asse classi ica ion a e
un esol ed in many ju isdic ions. Go e nmen s ha e shown
in e es in blockchain o land egis ies and subsidy
disbu semen , bu policy emains agmen ed. In e na ional
o ganiza ions, such as FAO, ITU, and ISO a e beginning o
de ine in e ope abili y and da a go e nance s anda ds, which
will be c ucial o c oss-bo de ag i-da a lows and
blockchain-based ade. Regula o y sandboxes may o e a
pa h o con olled expe imen a ion and policy co-design.
Finally, om he social and e hical pe spec i es, he
human dimension o adop ion is o en o e looked. Digi al
li e acy, pa icula ly in u al a ming communi ies, emains
low. Wi hou inclusi e aining and suppo , a me s may be
excluded o become passi e da a p o ide s in sys ems hey do
no con ol. E hical conce ns aise ques ions, such as: “Who
owns he senso and a m-le el da a?”; “A e a me s
adequa ely compensa ed?”; “Can a me s unde s and and
con es decisions made by AI models in luencing hei
li elihoods?”. Mo eo e , blockchain o e s audi able
anspa ency, bu i s immu abili y aises p i acy challenges,
pa icula ly in sha ing sensi i e land o gene ic da a. E o s o
build a me -cen ic da a go e nance amewo ks and XAI
models a e essen ial o building us and e hical in eg i y
[19].
TABLE I. ADOPTION PERSPECTIVES AT A GLANCE
Pe spec i e
Key Oppo uni ies
Main Ba ie s
Technological
IoT/AI in eg a ion,
edge p ocessing
Scalabili y,
in e ope abili y
Economic
Lowe ansac ion
cos s, DeFi
High ini ial cos s o
smallholde s
Regula o y
Land egis y,
compliance acking
Policy gaps, lack o
s anda ds
Social & E hical
Fa me empowe men ,
XAI
Digi al li e acy, da a
e hics
VI. CHALLENGES AND FUTURE DIRECTIONS
Despi e he p omising po en ial o blockchain and AI in
ans o ming DA, se e al echnical, economic, ins i u ional,
and e hical challenges con inue o hinde widesp ead adop ion
and scalabili y [22]. Unde s anding hese limi a ions is c ucial
o de eloping ealis ic deploymen s a egies and designing
inclusi e, esilien ag i- ech ecosys ems.
Blockchain sys ems, pa icula ly public ledge s, o en
su e om limi ed scalabili y due o consensus mechanisms
ha equi e signi ican compu a ional esou ces. This
cons ain is pa icula ly ele an in ag icul u e, whe e eal-
ime da a om IoT de ices and senso s should be p ocessed
con inuously. Simila ly, in e ope abili y be ween a ious
blockchain pla o ms and wi h exis ing ag icul u al
in o ma ion sys ems emains limi ed, c ea ing da a silos and
hinde ing in eg a ion wi h AI-d i en analy ics ools.
Also, he deploymen o hese echnologies can be cos -
p ohibi i e, especially o smallholde a me s and
s akeholde s in low-income egions. Ini ial in es men s in
digi al in as uc u e, senso echnologies, and secu e
ne wo ks, along wi h he ongoing cos s o da a s o age and
model aining, can exceed local budge s [23]. This aises
conce ns abou digi al equi y and he isk o excluding
ulne able popula ions om he bene i s o DA.
In addi ion, he need o la ge da ase s o AI and
blockchain immu abili y a ec s da a p i acy and owne ship.
While blockchain can secu e da a p o enance, i also makes i
di icul o dele e o al e sensi i e in o ma ion [24].
Mo eo e , ques ions on who con ols ag icul u al da a, how i
is mone ized, and whe he a me s uly bene i om da a-
d i en sys ems o a e me ely da a p o ide s o ex e nal
en i ies, a e aised.
Also, he e is a signi ican egula o y gap. Legal
unce ain ies a ound sma con ac s, okeniza ion, and c oss-
bo de da a lows limi inno a ion and in es men . Howe e ,
he absence o s anda dized p o ocols o da a quali y, and AI
explainabili y hampe s us and adop ion among public
ins i u ions and in e na ional s akeholde s.
Ano he majo ba ie is he limi ed digi al li e acy among
end-use s, including a me s, coope a i es, and e en
ex ension wo ke s. The complexi y o hese echnologies can
lead o discou agemen o misuse. Use -cen e ed design,
capaci y building, and localized solu ions a e essen ial o
ensu e meaning ul adop ion and long- e m impac .
Fu he mo e, blockchain echnologies, especially hose
elying on p oo -o -wo k, can ha e subs an ial ene gy
demands, aising sus ainabili y conce ns in ag icul u al
se ings. E o s o shi owa d g eene consensus
mechanisms (e.g., p oo -o -s ake, DAGs) a e ongoing bu no
ye widesp ead.
Fu u e esea ch and inno a ion should p io i ize he
c ea ion o in e ope able DA ecosys ems ha in eg a e
blockchain, AI, IoT, and geospa ial echnologies. Open
s anda ds and APIs will be c ucial o enabling seamless da a
exchange ac oss pla o ms, educing edundancy, and
acili a ing collabo a ion among di e se ag icul u al
s akeholde s.
The e is an eme ging oppo uni y o ede ine da a
owne ship h ough a me -cen ic go e nance amewo ks,
such as da a coope a i es o oken-based da a exchange
sys ems. By gi ing a me s con ol o e how hei da a is
accessed, sha ed, and mone ized-po en ially h ough
blockchain-enabled sma con ac s- u u e sys ems can ensu e
e hical, anspa en , and equi able pa icipa ion in he digi al
economy.
In addi ion, u u e blockchain a chi ec u es should ocus
on ligh weigh , ene gy-e icien consensus mechanisms and
edge AI compu ing o suppo scalable, low-cos applica ions
sui able o u al and esou ce-cons ained en i onmen s.
Ad ancemen s in sa elli e in e ne and 5G will u he enhance
connec i i y and eal- ime da a capabili ies. As AI con inues
o guide decision-making in ag icul u e, he e will be a
g owing need o XAI solu ions ha can be unde s ood and
us ed by non-expe use s.
Fu he mo e, he ise o blockchain-based DeFi can
imp o e access o c edi and in es men in ag icul u e.
Tokenized asse s, mic oloans, and blockchain c owd unding
pla o ms could help de- isk smallholde ag icul u e and open
up new unding models, pa icula ly in unde se ed ma ke s.
In pa allel, go e nmen s and in e na ional bodies ha e an
oppo uni y o os e inno a ion by c ea ing egula o y
sandboxes, whe e eme ging blockchain-AI solu ions can be
es ed in eal-wo ld ag icul u al con ex s wi h suppo i e
o e sigh .
Finally, add essing he abo e-men ioned challenges
equi es a mul i-s akeholde app oach ha combines
echnological inno a ion wi h inclusi e policies, local
capaci y-building, and in e na ional coope a ion. A balanced
iew o bo h he po en ial and he limi a ions is essen ial o
ensu e ha blockchain and AI se e he needs o all ac o s in
he ag icul u al alue chain-especially hose a he ma gins.
VII. CONCLUSIONS
As he ag icul u al sec o con inues o unde go digi al
ans o ma ion, he con e gence o blockchain, DLTs, and AI
p esen s unp eceden ed oppo uni ies o eshape ood sys ems.
As his pape has demons a ed, he con e gence o hese
echnologies holds signi ican p omise ac oss key ag icul u al
sec o s- om supply chain aceabili y and inancial inclusion
o en i onmen al moni o ing and decen alized da a
go e nance.
By le e aging he s eng hs o blockchain in da a in eg i y,
decen aliza ion, and audi abili y, alongside he capabili ies o
AI in pa e n ecogni ion, p edic ion, and au oma ion,
s akeholde s in ag icul u e can add ess longs anding
challenges, such as in o ma ion asymme ies, ine iciencies,
and us de ici s. Howe e , he ealiza ion o his po en ial is
no wi hou ba ie s. Issues ela ed o scalabili y, digi al
inclusion, egula o y unce ain y, and e hical da a use mus be
add essed h ough a ge ed inno a ion, suppo i e policy, and
inclusi e design.
Looking o wa d, he pa h o sus ainable and equi able
ag i-digi al ans o ma ion will depend on collabo a i e
e o s among a me s, IT p o essionals, policymake s, and
esea che s. I will equi e no only echnological
de elopmen , bu also a deep commi men o aligning hese
ools wi h he eal-wo ld needs and alues o ag icul u al
communi ies.
In summa y, while blockchain and AI in DA a e s ill
eme ging, hei con e gence ep esen s a c i ical on ie o
shaping he nex gene a ion o ag i- ood sys ems-ones ha a e
no only sma e and mo e e icien , bu also mo e anspa en ,
us wo hy, and sus ainable.
ACKNOWLEDGMENT
The pape has been suppo ed by - TALLHEDA P ojec ,
“TRANSFORMING ACCESS TO EXCELLENCE WITH
SUCCESSFUL ALLIANCES OF HIGHER EDUCATION
IN DIGITAL AGRICULTURE”, GA No 101136578. This
p ojec is unded by he Eu opean Union unde Ho izon
Eu ope esea ch and inno a ion p og amme.
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