Olive Groves

Early Diagnosis of Verticillium Wilt – Detection – Sitting of the disease using aerial multi-spectral images

Ecodevelopment has developed a diagnostic tool for the on time detection of symptoms from verticillium in olive, as well as of the infected trees with non-visible symptoms (initial stage of infection or asymptomatic stress) and provides an advisory service program of management, intervention and cultivation practices. By the use of remote sensing digital images by unmanned aerial vehicles, it is provided the potential to detect the infected trees at infection stages with non-visible symptoms so that the timely management of the fungus can be achieved. At the same time a “recipe” (recommendation) is provided for the treatment of the disease so that it becomes manageable and the reduction of olive grove’s yield can be prevented.

  • Assessment of infected trees and detection of non-visible symptoms at an    early stage of the infection using multi-spectral images and special algorithms.
  • Construction of hazard maps and their connection with a database in which the evolution of the disease will be recorded as well as the cultivation management for the trees’ recovery.
  • Prediction of the financial damage and estimation for the management cost.
  • Recommendation services for taking the appropriate management measures for the treatment.


Rice-grain cultivations

The rice has increased need for nitrogen because it is under flooding condition. The digital recording of nitrogen’s stress with the use of remote sensing tools is necessary so that the producer can avoid over-fertilisation by nitrogen which can result in facing additional production cost and in overwhelming of underground aquifers by nitrates. Furthermore, it is well known that the most important factor favouring the spread of pyricularia is the over-fertilisation by nitrogen. The excessive release of nitrogen in rice can lead to the growth of spindly plants which can be lodged and create ideal conditions for the disease developing due to bad ventilation. The accurate determination of the optimum dosage of nitrogen for the crops’ needs is necessary for the rational fertilisation of them. The multi-spectral high resolution remote sensing has the capacity to assess the physiological state of the plant and to recommend how much nitrogen must be added for achieving the maximum yield without needless use of nitrogen.


Wheat Crop

Through experimentation and remote sensing methods, it can be determined the ideal timing for fertilisation and the appropriate type of fertilisers in wheat crops. Furthermore, one of the most considerable risks for cultivation of cereals is the mycological disease of septoria tritici, mainly in years with heavy rainfall in spring. Through remote sensing methods it is feasible to detect phytopathological stress so as to also detect the infected zones of the crop



Assessment of the point of ripeness through the concentration of carotenoid-Diagnosis of plant water stressing.

Continuous monitoring through repeated remote sensing images
Harvest in accordance with the zones of ripening
Precise irrigation in accordance with spatial data

By the use of unmanned aerial vehicle of very high resolution, significant quality characteristics of the fruit can be detected. This is of particular importance for the winegrower as, in accordance with remote sensing observations can demarcate separate harvest zones within its parcel, from which the harvested fruit will be used in producing wine of different quality.


Corn cultivation

Early Diagnosis of the nutritional condition of corn crop through remote sensing can be used to avoid loss in yields of the crops and to reduce the production cost due to decreased nitrogen contributions. The use of spectral indexes with the assistance of remote sensing is definitely the most effective alternative method for recording the nutritional and physiological condition of the plants.