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Liguria Region Launches Innovative Olive Farming Project with AI and Smart Sensors

Liguria, Italy funds experimental project using smart sensors, AI, and drones to optimize olive farming and improve quality of Riviera Ligure PDO oil.
Combining AI with traditiional practicies is taking some northern Italian olive farms into the future.
By Paolo DeAndreis
Apr. 10, 2025 13:38 UTC
Summary Summary

The Liguria region in Italy is fund­ing an exper­i­men­tal project to enhance olive farm­ing using new tech­no­log­i­cal archi­tec­ture, includ­ing smart sen­sors and arti­fi­cial intel­li­gence. The project aims to pro­vide grow­ers with valu­able insights and advice based on real-time soil and plant data, poten­tially rev­o­lu­tion­iz­ing pro­duc­tiv­ity in tra­di­tional olive groves. The ini­tia­tive also includes the use of large aer­ial drones to apply treat­ments to olive trees more sus­tain­ably and effi­ciently, with hopes of influ­enc­ing Italian and European law­mak­ers to cre­ate reg­u­la­tions for drone use in agri­cul­ture.

The Liguria region in north­west­ern Italy is financ­ing an 18-month exper­i­men­tal project to opti­mize olive farm­ing through new tech­no­log­i­cal archi­tec­ture.

Based on a net­work of smart sen­sors that detect real-time soil and plant con­di­tions in olive orchards, the sys­tem will use arti­fi­cial intel­li­gence to inter­pret the data and pro­vide grow­ers with valu­able insights and advice.

Liguria is home to more than 740,000 olive trees and dozens of cul­ti­vars. The region’s flag­ship prod­uct is the high-qual­ity Riviera Ligure PDO (Protected Designation of Origin) extra vir­gin olive oil.

See Also:Leveraging AI to Enhance Olive Oil Quality, Efficiency and Trust

This exper­i­ment is the result of a part­ner­ship among sev­eral local pub­lic and pri­vate enti­ties involved in devel­op­ing advanced tech­nolo­gies in engi­neer­ing, IT and telecom­mu­ni­ca­tions,” Federico Tinivella, project leader at the pub­licly-owned Center for Agricultural Experimentation and Assistance (CeRSAA), told Olive Oil Times.

They are all experts in sen­sor tech­nolo­gies and in enabling dif­fer­ent sen­sors to com­mu­ni­cate with each other,” he added.

According to the project’s pro­mot­ers, some of the inno­va­tion lies in trans­fer­ring to olive farm­ing a range of tech­nolo­gies already used to mon­i­tor and improve the effi­ciency of indus­trial processes.

These include famil­iar tools such as weather sta­tions for track­ing envi­ron­men­tal con­di­tions in the field, though oth­ers are more advanced.

One smart ther­mome­ter is placed in an ele­vated posi­tion where it can read the infrared radi­a­tion of the olive tree canopy and detect leaf tem­per­a­ture,” Tinivella said. That indi­rectly indi­cates the poten­tial water stress the plant is expe­ri­enc­ing.”

Other sen­sors focus on soil con­di­tions, ana­lyz­ing the per­cent­age of nutri­ents such as nitro­gen, phos­pho­rus and potas­sium.

They also mea­sure oxy­gen lev­els in the soil, which pro­vide use­ful infor­ma­tion, for exam­ple, to mon­i­tor the health of the tree’s root sys­tem,” Tinivella said.

One sen­sor detects the amount of water on olive tree leaves. Another sen­sor being devel­oped for the project focuses on iden­ti­fy­ing par­a­sites, such as the olive fruit fly, and also serves as a smart trap.

It will attract the fruit fly and will be able to iden­tify it. Once the AI sys­tem has been trained, it will rec­og­nize the insect and alert us to its pres­ence,” Tinivella said.

Other smart sen­sors are designed to track fungi pres­ence and oth­ers to deter wild boars from enter­ing the orchards.

Given the moun­tain­ous nature of the Ligurian land­scape, many olive groves are located on ter­races, which are con­stantly threat­ened by wild boars that dig up the orchards and dam­age the ter­race walls.

Essentially, it is a photo trap that detects the ani­mals and emits loud, con­stantly vary­ing sounds,” Tinivella said. Since the sounds change every time they blast, the boars are unable to rec­og­nize them, mak­ing the noise an effec­tive deter­rent.”

Sensors on the trees help detect water stress and pest activity among other metrics. (Photo: Riviera Ligure PDO Consortium)

Specific sen­sors also mon­i­tor air qual­ity in the field, such as the pres­ence and con­cen­tra­tion of car­bon diox­ide.

Others are being devel­oped to detect and mea­sure spe­cific sub­stances in the soil.

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One exam­ple is Katerina, a gamma-ray spec­trom­e­ter,” Tinivella said. This instru­ment uses tech­niques that detect atomic behav­ior and ana­lyze spe­cific spec­tra. The goal is to deter­mine, for instance, how much potas­sium is in the soil.”

This tech­nol­ogy is being installed in an olive orchard asso­ci­ated with Riviera Ligure PDO pro­duc­tions.

The arti­fi­cial intel­li­gence plat­form ana­lyzes the data com­ing from the field and presents it on the grower’s dash­board. This data can become a com­pre­hen­sive deci­sion sup­port sys­tem.

By train­ing the AI engine, the sys­tem will be able to offer use­ful advice to the grower,” Tinivella said. The sys­tem will alert us when cer­tain con­di­tions occur that may require a deci­sion.”

Examples include irri­gat­ing the trees when water stress is detected or apply­ing fer­til­iza­tion treat­ments tai­lored to the soil and plant con­di­tions.

This project can def­i­nitely help improve the out­look for Ligurian olive pro­duc­tion,” said Giorgio Lazzaretti, con­sor­tium direc­tor for pro­tect­ing Riviera Ligure PDO extra vir­gin olive oil.

It’s not the only ini­tia­tive. We’re also exper­i­ment­ing with drones to main­tain olive groves, a project we’re con­duct­ing in col­lab­o­ra­tion with Lombardy’s regional insti­tu­tions,” he added.

The drone project explores the use of large aer­ial drones to apply tar­geted treat­ments to olive trees.

This tech­nol­ogy could eas­ily be inte­grated into the arti­fi­cial intel­li­gence plat­form being devel­oped.

The exper­i­ment will con­tinue through­out 2025 and will also focus on com­bat­ing olive fruit fly infes­ta­tions,” Lazzaretti said.

In an ini­tial test, the olive orchard was mapped, and then the drone could auto­mat­i­cally move from one tree to another to apply treat­ments,” he added.

These aer­ial drones can carry heavy loads and oper­ate more sus­tain­ably and quickly than tra­di­tional meth­ods, regard­less of ter­rain.

What we’ve seen is that when a drone treats a plant, its rotors push the sub­stances exactly where they need to go, dras­ti­cally reduc­ing drift,” Tinivella remarked.

The biggest issue with deploy­ing this tech­nol­ogy is the com­plex bureau­cracy sur­round­ing drone use,” Lazzaretti said. A large amount of paper­work is already required just to carry out the exper­i­ments.”

These smart drones can deliver treat­ments very quickly. 

We’ve seen from early tri­als that they can cover hectares of olive groves in just min­utes,” he said. And of course, they can also eas­ily access the more dif­fi­cult areas of the groves, espe­cially in moun­tain­ous regions.”

We can only hope that our results and the research behind them will encour­age Italian and European law­mak­ers to draft reg­u­la­tions specif­i­cally for the use of aer­ial drones in agri­cul­ture,” Lazzaretti added.

According to the project pro­mot­ers, com­bin­ing drone tech­nol­ogy with arti­fi­cial intel­li­gence and an expand­ing net­work of smart sen­sors could rev­o­lu­tion­ize pro­duc­tiv­ity in tra­di­tional olive groves. 

This would be a cru­cial devel­op­ment for Italian olive farm­ing, which is deeply rooted in tra­di­tional grow­ing meth­ods.


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