Real-time and spatially resolved assessment of pathogens in crops for site-specific pesticide reduction strategies

Kilin, Vasyl; Pini, Vittorio; Kasparian, Jérôme; Gros, Stéphane; Wolf, Jean‐Pierre

doi:10.1051/bioconf/20191501019

Cited by 5 publications

(8 citation statements)

References 10 publications

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“…IoT Sensors: Fixed position, UAV, Satellites, UGV [23][24][25][26][27] Data Management and Analysis Farm Management Information Systems (FMIS) [7,28,29] Decision-making and Variable Rate Technology Variable rate nitrogen fertilizer (VRNF), CLAAS VRT, Automated yield monitoring system II (AYMS II), fuzzy logic DSS, AgroDSS [30][31][32][33] Financial services Index-based agricultural insurance, AFPOH, M-Banking [34][35][36][37][38] Knowledge and information Weather forecasts, pesticides, and fertilizer information; KALRO mobile applications, Farmers Advisory Systems [39][40][41] Market eSoko, Tru Trade, E-Wallet Scheme, E-Krishok and Zero Hunger [35,[41][42][43] e-Government Online Fertilizer Recommendation System (OFRS) in Bangladesh, AFPOH in India, KALRO in Kenya [35,40,44] Profiling platform Digital farmer profiling platform [10,15,16] Source: Author's compilation.…”

Section: Farm Managementmentioning

confidence: 99%

“…The sensors are mounted in the mobile farm machinery or fixed in the field, such as a local weather station. For instance, Kilin [23], used a network of automated stations in the vineyards to detect areas affected by pathogens for site-specific application of pesticides. The stations collect real-time data such as airborne particles, temperature and relative humidity of the air and soil, solar irradiance, spores, and leaf humidity.…”

Section: Data Collection-iotmentioning

confidence: 99%

“…The stations collect real-time data such as airborne particles, temperature and relative humidity of the air and soil, solar irradiance, spores, and leaf humidity. AI is then used to analyze the spatio-temporal heterogeneity data based on optical particle counters (OPC) to identify areas affected by the pathogen (i.e., Plasmopara viticola) [23]. The results allow farmers to apply pesticides in specific field zones leading to cost-effective, healthy products and environmentally friendly farming practices.…”

Section: Data Collection-iotmentioning

confidence: 99%

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Digital Technology and Services for Sustainable Agriculture in Tanzania: A Literature Review

2022

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Digital technology has the potential to eradicate extreme poverty and food insecurity to the majority of smallholder farmers in the world. This paper aims to identify knowledge gaps on digital technology for sustainable agriculture and assess their availability to smallholder farmers worldwide. The particular case of Tanzania receives special attention. We conducted an extensive literature search from relevant databases for review. The advanced digital technology in agriculture, mostly used by large scale farmers, significantly contributes to sustainable agriculture. However, the existing digital services for smallholder farmers lack sustainability in the agriculture context and hardly meet the needs for a comprehensive set of services in a complete farming cycle. In most developing countries, Tanzania case included, digital technology and services respond to a challenge at a particular stage of the farming process or to a specific value chain. Based on this literature review, we identify inequalities among large and small farmers, as well as environmental challenges caused by ICT itself. To conclude we provide suggestions for improvements for smallholder farmers: developing a digital platform that addresses smallholder farmers’ challenges in a complete farming cycle, bringing together the stakeholders at a country level, in order to achieve sustainable agriculture and support adoption of cutting-edge digital technology. These suggestions will be the starting point for future research.

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Section: Farm Managementmentioning

confidence: 99%

Section: Data Collection-iotmentioning

confidence: 99%

Section: Data Collection-iotmentioning

confidence: 99%

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Digital Technology and Services for Sustainable Agriculture in Tanzania: A Literature Review

2022

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“…The accuracy of the spore detection relies on the quality of the image, with a higher accuracy the better the resolution. Multimodal, multiphoton microscopy for example provides 3D images of the spores with high spatial (500 nm) and spectral resolution (32 channels), and has been tested for Plasmopara viticola (Basso et al 2020;Kilin et al 2019). Furthermore, laser-based real-time optical particle counters (OPC) that detect particles in the air are being tested for realtime detection of spores in the air (Basso et al 2020;Kilin et al 2019).…”

Section: Introductionmentioning

confidence: 99%

“…The copyright holder for this preprint (which this version posted July 25, 2021. ; https://doi.org/10.1101/2021.07.25.453640 doi: bioRxiv preprint been tested for Plasmopara viticola (Basso et al 2020;Kilin et al 2019). Furthermore, laser-based real-time optical particle counters (OPC) that detect particles in the air are being tested for realtime detection of spores in the air (Basso et al 2020;Kilin et al 2019).…”

mentioning

confidence: 99%

Monitoring Spore Dispersal and Early Infections of Diplocarpon coronariae Causing Apple Blotch Using Spore Traps and a New qPCR Method

Boutry

Bohr

Buchleither

et al. 2021

Preprint

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Apple blotch (AB) is a major disease of apples in Asia and recently also emerging in Europe and the USA. It is caused by the fungus Diplocarpon coronariae (Dc) (formerly: Marssonina coronaria; teleomorph: Diplocarpon mali) and leads to severe defoliation of apple trees in late summer and thus to reduced yield and fruit quality. To develop effective crop protection strategies, a sound knowledge of the pathogen's biology is crucial. However, especially data on the early phase of disease development is scarce, and no data on spore dispersal for Europe is available. In this study, we assessed different spore traps for their capacity to capture Dc spores, and we developed a highly sensitive TaqMan qPCR method to quantify Dc conidia in spore trap samples. With these tools, we monitored the temporal and spatial spore dispersal and disease progress in spring and early summer in an extensively managed apple orchard in Switzerland in 2019 and 2020. Our results show that Dc overwinters in leaf litter and that spore dispersal and primary infections occur already in late April and beginning of May. We provide the first results on early-season spore dispersal of Dc, which, combined with the observed disease progress, helps to understand the disease dynamics and improve disease forecast models. Using the new qPCR method, we finally detected Dc in buds, on bark and on fruit mummies, suggesting that these apple organs may serve as additional overwintering habitats for the fungus.

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Digital Holography and artificial intelligence for real-time detection and identification of pathogenic airborne spores

Basso,

Berti,

Leoni

et al. 2023

BIO Web Conf.

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Ever-growing concerns and governmental restrictions related to the use of pesticides in modern agriculture has driven the need for more adept decision-making tools to minimize unnecessary treatments whilst still efficiently preventing a spread of infection. To this effect, a network of cost-effective, laser-based holographic detectors were developed and placed in vineyards in Switzerland and France with the objective of detecting and identifying airborne spores of downy and powdery mildew before they have the potential to infect crops. The data collected are remotely sent to a server where image processing techniques and artificial intelligence classify the spores and determine the quantitative intervention thresholds. Knowledge on the quantitative development of fungal diseases has been successfully used to temporally and spatially identify the primary infection of downy mildew which was confirmed by a visual evaluation of symptoms within the parcel. This data coupled with the current risk prediction models provide farmers with a powerful decision-making tool to optimise strategies in the management of grapevine diseases.

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Real-time and spatially resolved assessment of pathogens in crops for site-specific pesticide reduction strategies

Cited by 5 publications

References 10 publications

Digital Technology and Services for Sustainable Agriculture in Tanzania: A Literature Review

Digital Technology and Services for Sustainable Agriculture in Tanzania: A Literature Review

Monitoring Spore Dispersal and Early Infections of Diplocarpon coronariae Causing Apple Blotch Using Spore Traps and a New qPCR Method

Digital Holography and artificial intelligence for real-time detection and identification of pathogenic airborne spores

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