Potato Production in Northwestern Europe (Germany, France, the Netherlands, United Kingdom, Belgium): Characteristics, Issues, Challenges and Opportunities

Goffart, Jean‐Pierre; Haverkort, A. J.; Storey, R. M. J.; Haase, Norbert Ulf; Martin, Michel; Lebrun, Pierre; Ryckmans, Daniel; Florins, Dominique; Demeulemeester, Kürt

doi:10.1007/s11540-021-09535-8

Cited by 50 publications

(22 citation statements)

References 22 publications

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“…(1999) ]. The UK and Germany are also part of NWEC-05 which as discussed by Goffart et al. (2022) has a very high level of mechanization, this confirmed their assignment as Level 2.…”

Section: Discussionsupporting

confidence: 63%

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Machinery for potato harvesting: a state-of-the-art review

Johnson

Cheein

2023

Front. Plant Sci.

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Potatoes are the fourth most important crop for human consumption. In the 18 century, potatoes saved the European population from starvation, and since then, it has become one of the primary crops cultivated in countries such as Spain, France, Germany, Ukraine and the United Kingdom. Potato production worldwide reached 368.8 million tonnes in 2019, 371.1 million tonnes in 2020, and 376.1 million tonnes in 2021, with production expected to grow alongside the worldwide population. However, the agricultural sector is currently suffering from urbanization. With the next generation of farmers relocating to cities, there is a diminishing and ageing agricultural workforce. Consequently, farms urgently need innovation, particularly from a technology perspective. As a result, this work is focused on reviewing the worldwide developments in potato harvesting, with an emphasis on mechatronics, the use of intelligent systems and the opportunities that arise from applications utilising the Internet of Things (IoT). Our work covers worldwide scientific publications in the last five years, sustained by public data made available from different governments. We end our review by providing a discussion on the future trends derived from our analysis.

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“…(1999) ]. The UK and Germany are also part of NWEC-05 which as discussed by Goffart et al. (2022) has a very high level of mechanization, this confirmed their assignment as Level 2.…”

Section: Discussionsupporting

confidence: 63%

“…Before Brexit, 60% of the European (EU-28) potato production was produced in five Northwestern European countries. These countries are referred to in Goffart et al. (2022) and Devaux et al.…”

Section: Potato Harvesting: An International Assessmentmentioning

confidence: 99%

Machinery for potato harvesting: a state-of-the-art review

Johnson

Cheein

2023

Front. Plant Sci.

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“…In our study, a large amount of sand was used in the substrate (50%), as this corresponds more closely to the soil properties in Lower Saxony (Goffart et al, 2022). Also, 2 L containers were chosen instead of larger pots because the plants were not cultivated to natural maturity as in other studies, where yield was analyzed.…”

Section: Drought Decreases Overall Plant Growth After 7 and 14 Days O...mentioning

confidence: 99%

Expression analysis of candidate genes as indicators for commencing drought stress in starch potatoes

Wellpott,

Straube,

Winkelmann

et al. 2023

J Agronomy Crop Science

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Drought stress is a major problem for potato production and will be of grave importance due to climate change and the resulting temperature peaks along with drought periods in the vegetative growth phase of potato. Plants, as sessile organisms, adapt to their environment morphologically as well as biochemically. To cope better with abiotic stresses like drought, plants developed strategies like reactive oxygen species (ROS) detoxification and fast reacting stomatal closure, as well as signalling cascades leading to a quick response to stress. This study aimed at analysing eight genes of interest, derived from a former proteomic study, and determining their suitability for detection of commencing drought stress in early growth stages of potato. For this aim, six starch potato genotypes, which differed in stress response in previous studies, were examined for plant growth and physiological parameters in two experiments in an open greenhouse after seven and 14 days of stress. Besides lower shoot biomass after drought stress, which was already visible after seven days and became stronger after 14 days, weaker root growth was also detected after 14 days. The observed differences between the experiments can presumably be explained by temperature peaks and high radiation prior to and during the first experiment, which took place earlier in the year. The expression of the eight genes was studied in young leaves of four genotypes after 7 days of water withdrawal. Gene expression patterns were dependent on the studied genes. Three genes, cell wall/vacuolar inhibitor of fructosidase (INH1), peroxidase 51‐like (POD) and subtilase family protein (SBT1.7) showed consistent changes in gene expression after seven days of stress between all genotypes. The INH1 gene was found to be upregulated in all genotypes in two independent experiments after drought stress. This correlates with the results at the protein level, where INH1 was also found to be higher abundant in two genotypes of potato (Wellpott et al., DGG‐Proceedings 10, 2021). Therefore, this gene might be an appropriate candidate for the detection of commencing drought stress in potato.

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“…In 2019, 370,436,581 tons of potatoes were produced globally and global potato production rose by 2.59% compared with 2012 [2]. 61.5% of the total EU production of potatoes is produced annually in Germany, France, the Netherlands, the United Kingdom, and Belgium, with an average of 34,870 million tons throughout the 2017-2019 period [3]. Specifically, Germany is currently the largest potato producer in the EU, with an average yearly potato production of slightly more than 10.4 million tonnes.…”

Section: Introductionmentioning

confidence: 99%

Improving Potato Diseases Classification Based on Custom ConvNeXtSmall and Combine with the Explanation Model

Luong

2024

IJACSA

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Potatoes are short-term crops grown for harvesting tubers. It is a type of tuber that grows on roots and is the fourth most common crop after rice, wheat, and corn. Fresh potatoes can also be used in an incredible variety of dishes by baking, boiling, or frying them. Moreover, the paper, textile, wood, and pharmaceutical industries also make extensive use of potato starch. However, soil and climate pollution are highly unfavorable for potato growth and lead to a lot of diseases such as common scab, black scurf, blackleg, dry rot, and pink rot. Thus. several types of research in medicine and computers were started for the early detection, classification, and treatment of potato diseases. In this study, transfer learning and finetuning were applied to potato disease classification based on a custom ConvNeXtSmall model. In addition, Gradient-weighted Class Activation Mapping (i.e., Grad-CAM) is provided for visual explanation in the final result after classification. For potato illness segmentation, k-means clustering was used to enable the difference between healthy and diseased sections based on color and texture. The data was collected from numerous websites and validated by the Bangladesh Agricultural Research Institute (i.e., BARI), including six types of potato diseases and healthy images. With a Convolutional Neural Networks (i.e., CNN) model from the Keras library, our study reached the unexpected validation accuracy, test accuracy, and F1 score in seven classifications of 99.49%, 98.97%, and 98.97%, respectively. Concerning four-class classification, high accuracy values were obtained for most of the models (i.e., 100%).

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Potato Production in Northwestern Europe (Germany, France, the Netherlands, United Kingdom, Belgium): Characteristics, Issues, Challenges and Opportunities

Cited by 50 publications

References 22 publications

Machinery for potato harvesting: a state-of-the-art review

Machinery for potato harvesting: a state-of-the-art review

Expression analysis of candidate genes as indicators for commencing drought stress in starch potatoes

Improving Potato Diseases Classification Based on Custom ConvNeXtSmall and Combine with the Explanation Model

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