Potato Research最新文献

{"title":"AI-PotatoGuard: Leveraging Generative Models for Early Detection of Potato Diseases","authors":"Ghada Al-Kateb, Maad M. Mijwil, Mohammad Aljanabi, Mostafa Abotaleb, S. R. Krishna Priya, Pradeep Mishra","doi":"10.1007/s11540-024-09751-y","DOIUrl":"https://doi.org/10.1007/s11540-024-09751-y","url":null,"abstract":"<p>This paper introduces AI-PotatoGuard, an artificial intelligence (AI) tool which enhances the management of diseases in potatoes through the use of generative models and convolutional neural networks (CNN). In contrast to traditional practices, AI-PotatoGuard is a tool which provides the ability to detect potatoes in the early stages of the disease and also precisely detects the area affected. Through AI-PotatoGuard, it was observed that the conventional approach of identifying the diseases have been surpassed with 95% success observed in terms of getting the detection perfectly right and 85% in terms of getting the detection right at a much earlier stage. Traditional practices lagged with 75% detection right observation and a mere 50% in terms of detecting the disease early on. While traditional methods applied chemicals 2–3 times in practice in an area, the monitoring with AI-PotatoGuard resulted in only 2 out of 6 times in the same area. Hence, efficient and sustainable agriculture is achieved using AI.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":"39 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141514220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Potato Growth Promotion Using an Ecological Phosphate Fertiliser Composed of the Phosphate-Solubilising Bacterium Pseudomonas rhizophila S211 and Natural Rock Phosphate","authors":"Imtinen Sghaier, Hanene Cherif, Haroun Ben Ammar, Wafa Hassen, Khaled Brahmi, Ahmed Slaheddine Masmoudi, Yasmine Souissi, Ameur Cherif, Mohamed Neifar","doi":"10.1007/s11540-024-09752-x","DOIUrl":"https://doi.org/10.1007/s11540-024-09752-x","url":null,"abstract":"<p>The use of mineral phosphorus solubilising (MPS) bacterial inoculants, alone or supplemented with rock phosphate (RP), supports sustainable agricultural development and food security. This study investigates the combined effect of the MPS plant growth–promoting bacterium <i>Pseudomonas rhizophila</i> S211 and natural RP on potato growth and yield. Several genes potentially responsible for converting the insoluble phosphorus form in the soil into a soluble form for plant uptake were identified in the S211 genome including an open reading frame encoding a membrane-bound pyrroloquinoline-quinone-dependent glucose dehydrogenase (PQQ_mGDH) and a putative pyrroloquinoline quinone (PQQ) biosynthetic operon (pqqABCDEF). Additionally, the <i>P. rhizophila</i> genome harbors resistance genes related to osmotic, alkaline and metallic stresses, suggesting that strain S211 has strong environmental adaptability and RP metal bioremediation potential. The strain S211 showed ability to solubilise tricalcium phosphate (220 μg mL⁻¹) and Gafsa RP (207 μg mL⁻¹) with a decrease in pH (from 7 to 4). The effect of bioinoculant-RP co-supplementation on potato growth was optimised in greenhouse trials on alkaline soil using a mixture design. The results were further validated under field conditions using a randomised complete block design. The highest potato yield (62.6% increase) was obtained with binary mixture fertilisation (S211 inoculation and rock phosphate supplementation) compared with sole RP amendment. Thus, the application of natural RP in combination with MPS plant growth–promoting bioinoculant could be recommended as an ecofriendly alternative to pollution creating and costly chemical fertilisers.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":"65 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141514218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Analysis of Key Determinants Shaping Potato Production and Market Supply in the South West Shoa Zone of Ethiopia","authors":"Tadesse Tolera Ejeta, Xiuguang Bai","doi":"10.1007/s11540-024-09749-6","DOIUrl":"https://doi.org/10.1007/s11540-024-09749-6","url":null,"abstract":"<p>Potatoes hold a significant role in domestic consumption, contributing to increased food security and serving as a source of income for smallholder farmers. The objective of this paper is to analyze the key determinants of potato production and market supply in the Woliso and Wonchi districts of the South West Shoa Zone in Ethiopia. Drawing data from 368 purposefully and proportionately sampled farmers across four kebeles, the study employs a multiple linear regression model to identify key determinants of potato production. Factors such as the education level of the household head, land allocation for potato cultivation, oxen per hour, usage of improved seed, and fertilizer application significantly and positively influence potato production. Additionally, a two-stage least square regression model reveals that the quantity of potatoes produced, family size, education of the household head, and distance to the nearest market significantly impact the quantity of potatoes supplied to the market. The findings underscore the need for targeted interventions, suggesting that government and stakeholders focus on initiatives promoting education, improved land management, and the provision of essential inputs to enhance both potato production and marketing in the region.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":"187 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141514219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Systematic Review of Vegetation Indices for Potato Growth Monitoring and Tuber Yield Prediction from Remote Sensing","authors":"A. Mukiibi, A. T. B. Machakaire, A. C. Franke, J. M. Steyn","doi":"10.1007/s11540-024-09748-7","DOIUrl":"https://doi.org/10.1007/s11540-024-09748-7","url":null,"abstract":"<p>Crop intelligence and yield prediction of potato (<i>Solanum tuberosum</i> L.) are important to farmers and the processing industry. Remote sensing can provide timely information on growth status and accurate yield predictions during the growing season. However, there is limited documentation on the most suitable vegetation indices (VIs) and optimal growth stages for acquiring remote sensing imagery of potato. To address this knowledge gap, a systematic review was conducted. Original scientific manuscripts published between 2000 and 2022 were identified using various databases. The findings indicate that satellite imagery is the most widely used source of remote sensing data for tuber yield prediction, whereas unmanned aerial vehicle systems (UAVs) and handheld sensors are more frequently applied for growth monitoring. The normalized difference vegetation index (NDVI), red-edge chlorophyll index (CI_red-edge), green chlorophyll index (CI_green), and optimized soil-adjusted vegetation index (OSAVI) are the most frequently used VIs for the growth and yield estimation of potato. The tuber initiation stage was found to be the most appropriate stage for remote sensing data acquisition. This review will assist potato farmers, agronomists and researchers in selecting the most suitable VIs for monitoring specific growth variables and selecting the optimal timing during the growing season to obtain remote sensing images.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":"1 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141508753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation of Heat Transfer in Combined Infrared-Hot Air Drying: A Strategy for Evaluation in Potato Food Model","authors":"Azar Naghavi Gargari, Narmela Asefi, Leila Roufegarinejad, Milad Khodaei","doi":"10.1007/s11540-024-09730-3","DOIUrl":"https://doi.org/10.1007/s11540-024-09730-3","url":null,"abstract":"<p>The simultaneous heat and mass transfer in the drying processes is a complicated unit operation. In the present study, the modelling of heat and mass transfer was conducted via investigating temperature distribution and moisture content along with calculating the heat and mass transfer coefficients during the combined infrared-hot air drying (IR-HAD) in the potato food model. The potato drying process was done with cylindrical cutting geometry (disc form) and through the recording of temperature changes in the samples during the process. The selected radiation intensity for this process was 400 and 800 W. Then three-channel thermocouples were placed in the centre, surface, and between these two points in the radius direction of the sample to record the temperature changes during the process. The sample temperature was recorded by a data logger at 200-s intervals. The results of the temperature recording indicated that temperature changes were significant in different parts of the sample along the radius. Mass and heat transfer coefficients, including the convective heat transfer coefficient (<span>({h})</span>), were calculated to be 5.32 and 9.98 W/m².K; similarly, the effective moisture diffusivity <span>({(D}_{eff}))</span> was measured to be 5.18 × 10⁻⁸ and 9.93 × 10⁻⁸ m²/s, and the mass transfer coefficient <span>(({h}_{m }))</span> persisted at 0.005 and 0.010 m/s. An approximate doubling of the calculated coefficients was also observed by doubling the intensity of the radiation. The convective heat transfer coefficient has been introduced as the most important index in transport phenomena modelling and it is also applied in software simulation. Mathematical equations for the moisture transfer by Fick’s law and the heat transfer equation by Fourier’s law were solved using numerical methods and the results were applied in the computational simulation by COMSOL Multiphysics (5,3a). Then resulted profiles were also compared to simulated fried potato profiles. This simulation can help to control the temperature of the sample and it is further useful for quality control by reducing the moisture content.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":"42 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141259651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimized Deep Learning for Potato Blight Detection Using the Waterwheel Plant Algorithm and Sine Cosine Algorithm","authors":"Ahmed M. Elshewey, Sayed M. Tawfeek, Amel Ali Alhussan, Marwa Radwan, Amira Hassan Abed","doi":"10.1007/s11540-024-09735-y","DOIUrl":"https://doi.org/10.1007/s11540-024-09735-y","url":null,"abstract":"<p>Potato blight, sometimes referred to as late blight, is a deadly disease that affects Solanaceae plants, including potato. The oomycete <i>Phytophthora infestans</i> is causal agent, and it may seriously damage potato crops, lowering yields and causing financial losses. To ensure food security and reduce economic losses in agriculture, potato diseases must be identified. The approach we have proposed in our study may provide a reliable and efficient solution to improve potato late blight classification accuracy. For this purpose, we used the ResNet-50, GoogLeNet, AlexNet, and VGG19Net pre-trained models. We used the AlexNet model for feature extraction, which produced the best results. After extraction, we selected features using ten optimization algorithms in their binary format. The Binary Waterwheel Plant Algorithm Sine Cosine (WWPASC) achieved the best results amongst the ten algorithms, and we performed statistical analysis on the selected features. Five machine learning models—Decision Tree (DT), Random Forest (RF), Multilayer Perceptron (MLP), Support Vector Machine (SVM), and <i>K</i>-Nearest Neighbour (KNN)—were used to train the chosen features. The most accurate model was the MLP model. The hyperparameters of the MLP model were optimized using the Waterwheel Plant Algorithm Sine Cosine (WWPASC). The results indicate that the suggested methodology (WWPASC-MLP) outperforms four other optimization techniques, with a classification accuracy of 99.5%.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":"6 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141165824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of Ohmic Heating and Ultrasound Pretreatments on Oil Absorption and Other Quality Parameters of Fried Potato","authors":"Ferda Sari, Bige Incedayi, Nihal Turkmen Erol, Pınar Akpinar, Omer Utku Copur","doi":"10.1007/s11540-024-09740-1","DOIUrl":"https://doi.org/10.1007/s11540-024-09740-1","url":null,"abstract":"<p>In this study, the effect of pretreatments ((hot water blanching (HWB), ultrasound (US) and ohmic heating (OH)) on reducing the oil absorption of potato during frying and the changes in the quality parameters of the product ((total polyphenol (TP), in vitro digestion, total flavonoid (TF), antioxidant capacity (AC), chlorogenic acid (CA), textural and sensorial properties)) were investigated. The pretreatments applied significantly affected oil absorption and quality parameters of fried potato. The oil content of fried potatoes ranged from 26.06 to 32.01% depending on the pretreatment. OH-pretreated potato had the highest content of TP (41.27 mg GAE/100 g dry matter-DM), TF (32.89 mg RE/100 g DM) and CA (1.72 mg/100 g DM). However, there was no significant difference between the pretreatments in terms of bioaccessibility of polyphenols at the end of digestion. Also, AC value of fried potato pretreated by OH (124.13 mmol AAE/100 g DM) was higher compared to that of fresh potato (83.91 mmol AAE/100 g DM), but other two pretreatments caused a decrease in AC. The highest hardness was observed in HWB-treated potato strips. OH-treated potato had the best color parameters. Sensory data indicated that US-pretreated potato had the highest sensory scores followed by OH- and HWB-pretreated ones, respectively. Consequently, based on the above comprehensive quality evaluation, it can be suggested that OH pretreatment is a better choice for preparing deep fried potato.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":"61 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140931452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting Potato Prices in Agra, UP, India: An H2O AutoML Approach","authors":"Prity Kumari, Satish Kumar M, Prashant Vekariya, Shubhra N. Kujur, Jignesh Macwan, Pradeep Mishra","doi":"10.1007/s11540-024-09726-z","DOIUrl":"https://doi.org/10.1007/s11540-024-09726-z","url":null,"abstract":"<p>The dynamics of the potato market in Agra, Uttar Pradesh, India, represent significant price volatility that affects stakeholders across the supply chain. This study addresses the critical need for accurate forecasting of potato price, which is utmost for optimising production, marketing strategies and inventory management. However, existing forecasting models often fail to provide the accuracy required for effective planning and resource allocation. This research aims to bridge this gap by investigating the potential of advanced predictive models to offer closer approximations of potato prices. Covering the period from January 1, 2006, to July 31, 2023, the methodology employed the H2O AutoML framework to identify and evaluate predictive models based on two distinct train-test split ratios, 80:20 and 70:30. The selection of the top 20 models for each configuration, assessed using the root mean square error, revealed the 70:30 split’s superior performance. Further analysis identified the top three models: stacked ensemble, gradient boosting machine and extreme gradient boosting, with the stacked ensemble model emerging as the optimal choice with forecasting errors ranging from 0.08 to 2.09% for daily prices of potato. This result illustrates the effectiveness of the stacked ensemble model in advancing strategic decision-making and resource distribution within the potato industry, with a notable improvement in the accuracy of price predictions contributing to more efficient and informed operational strategies.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":"3 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140931615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multiple Transgenic Strategies Positively Regulate Cold-Induced Sweetening in Low Temperature Stored Potato Tubers","authors":"Nida Toufiq, Olawale Samuel Adeyinka, Anwar Khan, Shazia Shafique, Nusrat Jahan, Muhammad Umar Bhatti, Rida Khalid, Ayman Naeem, Qamar Abbas, Sobiya Shafique, Bushra Tabassum","doi":"10.1007/s11540-024-09733-0","DOIUrl":"https://doi.org/10.1007/s11540-024-09733-0","url":null,"abstract":"<p>Cold-induced sweetening (CIS) is a common phenomenon in many plants including potatoes that help in osmoregulation and cryoprotection. However, CIS is associated with quality deterioration in potato tubers due to accumulation of reducing sugars at low temperatures. We investigated two different strategies to modulate CIS in potato, overexpression of RING finger (<i>SbRFP1</i>) as anti-sweetening gene and by double-stranded RNA-mediated gene silencing of the vacuolar invertase gene. In silico analysis predicted that the ubiquitination activity of the RING finger protein was responsible for regulating the expression of invertase during cold-induced stress. Moreover, the in silico predicted binding stability of siRNA-mRNA duplex suggested efficient gene silencing of the invertase gene. We successfully generated four single and three dual transgenic potato lines that were positive for transgene insertion and integration as revealed in PCR and Southern blot. The amount of reducing sugars found in tubers obtained from single transgenics showed maximum decrease of 1.67 folds while tubers obtained from dual transgenic line depicted 4.86 folds reduced accumulation of reducing sugars compared to non-transgenic control when analyzed through HPLC analysis post 60-day storage at low temperature (4°C). Further, the invertase activity was 1.46 folds reduced in single transgenics while this reduction was 2.13 folds in dual transgenics. The downregulation of the invertase gene was up to 3.36 folds in dual transgenic potato lines, 2.26 folds in single transgenic compared to control, non-transgenic post 60-day cold storage at low temperature. Conclusively, the utilization of multiple strategies to regulate CIS in low-temperature stored potato tubers positively regulate CIS in transgenic potatoes and can be employed to generate CIS resistant potato varieties.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":"26 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140931364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative Interpretation of Structural, Functional, Phytochemical and Pasting Profile of Coloured Variety Potato Flakes Prepared Using Different Drying Techniques","authors":"Rajni Saini, Sukhpreet Kaur, Poonam Aggarwal, Atul Dhiman, Sumit Grover","doi":"10.1007/s11540-024-09738-9","DOIUrl":"https://doi.org/10.1007/s11540-024-09738-9","url":null,"abstract":"<p>The present study investigated the effects of different drying methods (drum and tray drying) on overall quality of potato flakes prepared from <i>Lady Rosetta</i> (LR) (white fleshed potato) and <i>PP-1901</i> (purple potato) varieties. It was found that drum drying had more significant (<i>p</i>&lt;0.05) effect in reducing the colour values of flakes. Drum dried (DD) samples showed higher values of water and oil absorption capacity than tray dried (TD) samples for both varieties. Purple variety flakes had significantly very high values of phytocompounds in comparison to white fleshed flakes. Regardless of the varieties, TD flakes had higher values of total phenolics, flavonoids and anthocyanin contents than DD which was attributed to more heat severity in case of drum drying. Also, ascorbic acid content and antioxidant activity were higher in TD samples. Higher retention of phytocompounds in TD samples was also confirmed using Fourier transform infrared spectroscopy. Due to more pregelatinisation, DD samples had the highest changes in its crystallinity and had the lowest value of pasting temperature indicating the lowest cooking temperature confirmed using X-ray diffraction and rapid viscoanalyser, respectively. <i>Practical application:</i> Potato flakes are utilised as an ingredient in extruded snacks, potato chips, soups, snack pellets, rolls or bakery products. Utilising coloured variety potatoes for developing flakes can give a healthier option to consumers. The present study is the first one to develop coloured potato flakes by using drum and tray dryer along with investigating their effect on the potato matrix. These dryers are widely adopted commercially from past many decades.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":"16 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140931361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}