AgroDecisor EFC: First Android™ app decision support tool for timing fungicide applications for management of late-season soybean diseases

Carmona, Marcelo; Sautua, Francisco; Pérez-Hernández, Óscar; Mandolesi, Juan I.

doi:10.1016/j.compag.2017.11.028

Cited by 18 publications

(11 citation statements)

References 16 publications

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“…Other studies have reported better prices, decreases in transaction costs, reductions in price dispersion and elimination of waste (Arinloye et al, 2015;Jensen, 2007;Nakasone, 2013;Svensson & Yanagizawa, 2009). ICTs have also been used for dissemination of weather data (Camacho & Conover, 2010;Fafchamps & Minten, 2012), collecting agricultural data (Daum et al, 2018;Dillon, 2012), and supporting on-farm activities including fertilizer application, irrigation, pest and disease control, and farm management (Bueno-Delgado et al, 2016;Carmona et al, 2018;Lantzos et al, 2013;Vellidis et al, 2016). Despite the contribution of ICTs in agricultural development, the literature also highlights several potential constraints to the use of ICTs, especially in developing countries.…”

Section: The Role Of Icts In Agricultural Developmentmentioning

confidence: 99%

E-diary: a digital tool for strengthening accountability in agricultural extension

Namyenya

Daum

Rwamigisa

et al. 2021

Information Technology for Development

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The study aimed to assess the potential of smartphone applications for strengthening accountability in public agricultural extension services. Therefore, a smartphone application called 'e-diary' was developed and tested in Uganda. A Design Science Research approach was used for the development and assessment of the e-diary. Individual face-to-face interviews and focus group discussions were used for data collection. Data analysis was conducted using the content analysis method. The findings indicate that smartphone applications have the potential to strengthen accountability in the public agricultural extension services by enabling remote supervision in real-time, which reduces the costs and time of supervision. However, the study also indicates that the successful implementation of such tools requires incentives such as awards of recognition. These findings contribute to the understanding of the potential role of ICTs in strengthening the management of public services (such as agricultural extension) in developing economies.

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Section: The Role Of Icts In Agricultural Developmentmentioning

confidence: 99%

E-diary: a digital tool for strengthening accountability in agricultural extension

Namyenya

Daum

Rwamigisa

et al. 2021

Information Technology for Development

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“…From the literature surveyed, 1-tier (standalone) SAAs serve different agricultural themes such as irrigation management [11,22,61], pest control and management [17,26,46], and risk management [24]. The examples of these applications are as indicated in Table 1.…”

Section: -Tier Applicationsmentioning

confidence: 99%

“…Other applications in this category serve as decision support tools to farmers; for instance, AgroDecisor EFC [17] that recommends to farmers on proper application of fungicides by comparing the user input against threshold. On the other hand, SnapCard [26] and DropLeaf [47] use image analysis techniques to compare fungicide spray nozzles against end-user specifications.…”

Section: -Tier Applicationsmentioning

confidence: 99%

“…SnapCard [26] Weed and pest control Crop spraying 1-tier Android VillageTree [77] Weed and pest control Gathering pest incidence reports 2-tier iOS, Android MobiCrop [43,44] Weed and pest control Sharing information on pesticides 3-tier iOS AgroDecisor EFC [17] Weed and pest control Fungicide treatment estimation 1-tier Android DropLeaf [47] Weed and pest control Crop health 1-tier Android AgriMaps [37] Land management Crop and land management recommendation…”

Section: -Tier Androidmentioning

confidence: 99%

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A Survey on Mobile Applications for Smart Agriculture

et al. 2021

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The increasing global demand for food and nutrition security has raised the need to automate processes in modern farming. As such, a promising way to automate those processes is by using smart agriculture applications (SAAs). Different studies in the literature classify these applications based on agricultural themes, agricultural domains, and farming scenarios. However, this classification is not sufficient for researchers and industry to gain deeper insights on software engineering issues pertaining to SAAs. In this survey, we explore SAAs and further classify them based on architectural models, supported software engineering issues, and target mobile platforms. The survey results show that SAAs in general (1) follow different architectural models, (2) are targeted for different mobile platforms, and (3) satisfy different software engineering issues. Most importantly, the key findings from this study reveal that SAAs can fail to meet their intended purpose if developers ignore key software engineering issues. These findings can be used as a starting point for researchers and industry to implement smart agriculture related mobile applications.

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“…Smartphone applications can also be applied to assess rice nutritional status [16] and detect damage caused by blue mould on tobacco leaves [17]. Apart from these, the information provided by smartphone applications can help farmers make better decision, such as scientific e-advisories for menthol mint crop [18], time of applying fungicide in late-season soybean diseases management [19], irrigation schedule [20] [21] and so on. Integrated with sensor stack, smartphone apps can be implemented in wider agriculture areas such as monitoring crop information [22], controlling greenhouse environment [23] and photographing suspicious activity to prevent farmers' losses [24].…”

Section: Introductionmentioning

confidence: 99%

3DBunch: A Novel iOS-Smartphone Application to Evaluate the Number of Grape Berries per Bunch Using Image Analysis Techniques

2020

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Evaluating the number of berries per bunch is a vital step of grape yield estimation in viticulture but is a labour intensive task for traditional manual measurement. Therefore, this paper develops a novel smartphone application for counting berries automatically from a single image. The application, called 3DBunch, acquires images from the camera or the album on a smartphone, and then estimates the number of berries by a reconstructed 3D bunch model based on the proposed image analysis techniques that are embedded in the developed iOS app. It also presents features of visualising the statistics of the reconstructed bunch, which including of the distribution of detected berry size in pixels and the total number of berries. It also has the capability of presenting sampling related information, which includes the person who conducted the sampling, the location of samples, the dates of sampling, the variety, farm, vineyards etc. The application was evaluated both on a simulator in a commercial computer and an iPad mini 4. By analysing 291 bunch images from two varieties the app achieved an accuracy of 91% regarding berry counting per bunch. Additionally, the computational time consumed to process 100 images on iPad mini 4 was studied and returned an average of 7.51 seconds per image. Getting these results with only a smartphone and a small backing board for capturing a photo with a single bunch, 3DBunch provides an efficient way for farmers to count berries in-vivo and it is available on iOS App Store now. INDEX TERMS berry counting, bunch analysis, image analysis, iOS application, yield estimation

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AgroDecisor EFC: First Android™ app decision support tool for timing fungicide applications for management of late-season soybean diseases

Cited by 18 publications

References 16 publications

E-diary: a digital tool for strengthening accountability in agricultural extension

E-diary: a digital tool for strengthening accountability in agricultural extension

A Survey on Mobile Applications for Smart Agriculture

3DBunch: A Novel iOS-Smartphone Application to Evaluate the Number of Grape Berries per Bunch Using Image Analysis Techniques

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