Jan Kamp's research while affiliated with Wageningen University & Research and other places

Publications (3)

Article
Full-text available
There is a growing demand in both food quality and quantity, but as of now, one-third of all food produced for human consumption is lost due to pests and other pathogens accounting for roughly 40% of pre-harvest loss in potatoes. Pathogens in potato plants, like the Erwinia bacteria and the PVYNTN virus for example, exhibit symptoms of varying seve...
Article
Full-text available
Virus diseases are of high concern in the cultivation of seed potatoes. Once found in the field, virus diseased plants lead to declassification or even rejection of the seed lots resulting in a financial loss. Farmers put in a lot of effort to detect diseased plants and remove virus-diseased plants from the field. Nevertheless, dependent on the cul...
Article
Potato blackleg is a tuber-borne bacterial disease caused by species within the genera Dickeya and Pectobacterium that can cause decay of plant tissue and wilting through the action of cell wall degrading enzymes released by the pathogen. In case of serious infections, tubers may rot before emergence. Management is largely based on the use of patho...

Citations

... On the other hand, this solution opens the challenge of more sophisticated annotation, which is one of the bottlenecks in Deep Learning in precision agriculture (Chandra et al., 2020). Some related papers have previously asked about the possible improvement of transfer learning by using more related weights to the target problem (Afonso et al., 2019;Yi et al., 2020). In our previous work , this performanceboosting was verified for weeds identification, but in this paper, the results have been the contrary. ...
... The detection of such delicate changes in the ground cover from VHR images provided by UAVs is suitable. As small-scale changes cannot be detected at low resolutions (see Figure 3), it is important to address the possibility of obtaining high spatial and temporal resolution UAV data that are suitable for generating detailed land cover maps [89]. ...
... To detect symptoms before their complete appearance on the tomato plant, there was a novel DL technique called generative adversarial nets (GAN) (Wang et al. 2019). For detection of potato infecting viruses, the DL on HIS attained remarkable values of recall (0.88) and precision (0.78) (Polder et al. 2019). Symptomatological characterization of wheat leaf, using Dl architecture called multiple Inception-Resnet models which analyze both spatial as well as spectral information, attained an accuracy of 85% which is substantially higher than that of the RF-classifier (77%) (Zhang et al. 2019a). ...