Co-creation with Kagome to expand the possibilities of agriculture

The tomato is the most consumed vegetable in the world; however, producers and processors are currently facing the major challenge as to how they can respond to increasing demand due to rapid population growth. Moreover, in recent years, it has become difficult to predict yields due to drastic climate changes mainly caused as a result of the effects of the global warming.

Accordingly, through the utilization of ICT, NEC and Kagome have created virtual fields on computer by spatially and temporally quantifying a vast amount of farmland information obtained from sensors installed on farms to measure changes in weather and soil, artificial satellites and drones, as well as information related to natural environments such as the farming activity environment. Based on the results of growth simulations for these virtual fields, we have developed the new “Overseas Large-Scale Farming Analysis Solution” for open-field cultivation in order to realize the development of the most efficient and optimized cultivation methods and the accurate prediction of yields and appropriate harvest times.

As a first step, we conducted tests utilizing this solution at a farm in Portugal belonging to a Kagome subsidiary. As a result, we have succeeded in the development of optimized cultivation methods for each field by analyzing their differences and the accurate prediction of yields and appropriate harvest times. We currently continue conducting tests and will strive to enhance the cultivation technology for processing tomatoes in the future.

This solution achieves scientific modeling based on the growth level of crops and environmental conditions, which makes it possible to carry out highly accurate growth simulations for new areas and crops at an early stage.

Traditionally, the improvement of a farm’s production took place over a long period of time; however, this solution has successfully shortened the period from making predictions to taking measures. This has been accomplished through cooperation with leading companies and research institutes with a track record in the agriculture ICT domain, as well as NEC’s proprietary big data analysis technology. The highly accurate simulations can realize agriculture that responds flexibly to climate changes occurring on a global scale and social issues such as those associated with the safety and stable provision of foods.

Moreover, this solution not only enables stable production but also contributes greatly to the optimization of the supply chain in the future. For instance, when the harvest times are roughly the same, a large amount of harvested products are usually disposed of when a certain period of time passes after the harvest due to the limitation of the transportation capacity; however, through the utilization of this solution, the overall optimization can be achieved in a just-in-time manner by the promotion of the efficiency of the transportation by tracks and the implementation of reviews on the plan to receive delivery, which includes the adjustment to prevent the overlapping of the peak times for harvest among farmers.

NEC strives to achieve sustainable agriculture by deploying this Overseas Large-Scale Farming Analysis Solution jointly developed by Kagome and build a sustainable society by contributing to the optimization of the supply chain.

Voice of customer


General Manager, Global Tomato Company, Kagome

Kengo Nakata

NEC’s proprietary big data analysis technology offers the broad knowledge required for the agricultural development. It enables the visualization of a variety of farmland information based on data obtained from sensors installed on farms, drones and satellites, carries out growth simulations and proposes optimized cultivation methods. The most recent test resulted in a 10% increase in crop yields compared to those of other farms through the utilization of cultivation methods based on the analysis of farmland information. In the future, we plan to increase crop yields by 10% or more while reducing the amount of fertilizer and water used.

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