Kagome, NEC and DXAS introduce agricultural ICT platform "CropScope" to tomato field in northern Italy, saving water and increasing yield

9 November 2023, 10:00 am

Lisbon, Portugal, Tokyo and Aichi, Japan – November 8, 2023 — Kagome Co., Ltd., (Kagome) NEC Corporation (NEC) and DXAS Agricultural Technology LDA (DXAS), a joint venture between Kagome and NEC, have introduced an agricultural ICT platform, “CropScope,” which combines AI farming advice and automatic irrigation control functions compatible with pulse drip irrigation (*1), to tomato fields in northern Italy and Portugal. In northern Italy, CropScope was introduced for the first time as a field trial conducted from April to August of this year, resulting in increased yield and requiring less irrigation compared to a field where the platform was not introduced. The platform was also commercially introduced recently to a large-scale tomato field in Portugal, and high yield was achieved.

The three companies aim to contribute to sustainable agriculture by promoting environmentally friendly and profitable farming by expanding the areas in which CropScope is introduced, while also confirming reproducibility and effectively responding to water shortages at farming sites, which are challenges faced around the world.

Recently, in addition to soaring agricultural materials and energy prices, climate change, including drought, has severely damaged the cultivation of agricultural crops around the world. For sustainable agriculture, measures against water shortages have become an urgent issue. In order to resolve this, small and frequent irrigation is known as a cultivation method that reduces water consumption while maintaining the optimal soil water content. However, this method requires careful management while maintaining the fluctuating soil moisture content at an optimum level, and is not widely used because it is complex and requires a large workload for farmers with large or multiple fields.

■Outline and Results of the Initiatives
The three companies introduced CropScope services, which consist of AI farming advice and automated irrigation control functions compatible with pulse drip irrigation, to tomato fields in northern Italy and Portugal.
A field trial of CropScope in northern Italy was able to increase yield by about 23% with about 19% less irrigation compared to a field that did not introduce the platform. It was confirmed that this system will produce good results even in new cultivation environments where climates, soil, etc. differ from those in the regions where CropScope was previously introduced. In Portugal, by combining the skills of experienced agronomists, it was able to obtain a high yield of 148t/ha on large commercial fields of about 21ha (total of 2 fields).

Outline and Results of Initiatives in the Test Field in northern Italy


CropScope introduction field

Comparative control field


Ferrara, Italy

Tomato variety

UG11227 (*2)








Outline and Results of Initiatives in Commercial Large-Scale DXAS Fields in Portugal


CropScope introduction field A

CropScope introduction field B


Vila Franca de Xira, Portugal

Tomato variety

Several varieties including UG16112 (*2)







Average yield


■Comments from the farmers in Italy and Portugal
“We are extremely proud of the results achieved through the use of the CropScope platform in our tomato fields in Ferrara, Italy, thanks to the irrigation technology provided by Scarabelli Irrigazione (*3) using United Genetics variety of tomato. It has been an innovative journey that has concretely demonstrated how technology can be a valid ally of agriculture, especially at a time when environmental challenges and sustainability needs are increasingly pressing. The introduction of CropScope has marked a significant turning point in the management of crops, allowing us to optimize the use of water - a resource as precious as it is limited - and at the same time increase yields significantly. The adoption of CropScope has stimulated renewed interest in agriculture, attracting new talent to the sector and demonstrating that agriculture can be both traditional and cutting-edge.”

Dr. Gianluca Vertuani, Gestioni Agricole Vertuani in Italy

“Congratulations to CropScope and its cutting-edge technology, in collaboration with agronomist instructions, the platform has obtained meaningful results from this campaign in fields of significant size. The industrial tomato crop is one of the most difficult to produce, especially in the current unstable farming environment, which is why the support provided by CropScope is so needed for daily control of fields. Farmers will be collaborating with CropScope and DXAS for more sustainable agriculture in Portugal in the near future and this is very important for our sector.”

Mr. João Geada, CEO of Herdade do Caldas in Portugal

■Future development
The three companies plan to incorporate the knowledge gained from this initiative into the machine-learning of CropScope, and to improve the accuracy of AI farming advice and strengthen solutions by repeating field trials and increasing reproducibility. In addition, DXAS will reinforce its support for agricultural management by spreading this service to the worldwide processing tomato market.

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Conventional irrigation causes plants to be stressed from excess water or drought, while pulse drip irrigation can maintain water conditions that are stress-free

The automated irrigation system makes it possible to automatically control AI farming advice, such as irrigation frequency, to help eliminate complicated and time-consuming manual work

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AI makes watering decisions based on the field environment

A plant with abundant tomatoes

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A large-scale farm in Portugal and a skilled agronomist

The field in North Italy (pulse drip irrigation area)


■ DXAS Agricultural Technology LDA


Lisbon, Portugal

Start of business

September 2022


Kengo Nakata CEO (Concurrent post: General Manager, Smart Agri Incubation Division, Kagome)

Description of Businesses

Sale of farming management recommendation services and field visualization services utilizing AI, marketing, promotion, customer development, and service planning

Common stock and shareholders' equity ratio

2,119,392.44 euros

Kagome: 66.6%, NEC:33.4%











■ Introduction to CropScope


Farming management recommendation services utilizing AI and automatic irrigation control functions for pulse drip irrigation

Visualization services

(using sensors and satellite images)


(Tomato growers)

・With AI that has acquired the know-how of experts, highly profitable farming can be achieved regardless of the proficiency level of the farmers.

・Efficient automatic irrigation allows for environmentally friendly farming.

・Technology will be passed on easily, and an increase in the number of new farmers can be expected.

・By being able to visualize the situation in a vast field, it becomes easier to visually detect abnormalities and reduce cultivation risks.


Farming instructors

・By using explicit farming support know-how, it is possible to reduce the time required to instruct farmers and train farming instructors.

・Since abnormalities can be identified remotely even in vast fields, prompt and accurate guidance can be provided based on data.

Tomato processing companies

・Stable production of processed tomatoes can be expected to reduce procurement risks and minimize input resources.

・Productivity can be improved by making overall optimal harvest adjustments based on objective data.

(*1) This is a cultivation method in which the amount of water and fertilizer required by a crop is given in many portions, and the optimum amount of soil moisture for the crop is maintained.

(*2) "UG11227" and "UG16112" are varieties of tomatoes from the Kagome Group’s United Genetics Seeds Co.

(*3) “Scarabelli Irrigazione” is an irrigation system partner with the field trial project in Italy.

In addition, by re-clustering of TCR clones (n=140) that express nine TCRs, it was discovered that even antigen-specific TCR clones have different differentiation stage and functional status among individual TCR clones (Figure 4A), and that there is a bias in differentiation and function of TCRs for each antigen (Figure 4B).


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