Drone-based Geographical Information System (GIS) Mapping of Cassava Pythoplasma Disease (CPD) for Precision Agriculture

Plata, Irma T.; Panganiban, Edward B.; Alado, Darios B.; Taracatac, Allan C.; Bartolome, Bryan B.; Labuanan, Freddie Rick E.

doi:10.46338/ijetae0222_01

Cited by 5 publications

(9 citation statements)

References 11 publications

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“…Thus, a total of n + 2q -2 = 23 reference vectors will be required. Note that for a certain choice of the scores a, b and d, namely, b = a + 2 and d = a, the sets of reference vectors (7) and (10) intersect and contain a common vector 𝑒𝑒 1 = 𝑔𝑔 (𝑎𝑎+1)± = (𝑎𝑎 + 2, 𝑎𝑎, 𝑎𝑎, 𝑎𝑎, 𝑎𝑎). This reduces the total number of reference vectors by one.…”

Section: Multicriteria Search Methodsmentioning

confidence: 99%

“…In agriculture, UAVs are also used for mapping. For example, in work [7] presented the development of the Drone-based Geographical Information System (GIS) Mapping of Cassava Pythoplasma Disease (CPD) for Precision Agriculture is an effective and innovative tool in detecting CPD in order to prevent the spread of the disease. Drone-based Geographical Information System (GIS) Mapping of Cassava Pythoplasma Disease (CPD) for Precision Agriculture was an effective tool in detecting the presence of Cassava Phytoplasma disease in cassava plantations using the different techniques and methodologies.…”

Section: Introductionmentioning

confidence: 99%

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Multicriteria adaptation of agricultural spraying drones

Misyurin,

Neluybin,

Nosova

et al. 2024

BIO Web Conf.

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The article proposes a method for searching for the best configurations of robots under new and previously unknown operating conditions, which makes it possible to find solutions close to optimal using a limited number of full-scale tests. The problem of processing agricultural crops using liquid-spraying UAVs is considered. The time required for a given UAV to process a given landing area under arbitrarily specified external conditions was selected as a performance indicator of the UAV configuration. The search algorithm is based on multicriteria analysis of vector characteristics of UAVs using the criteria importance theory. Previous studies have used information about the relative importance of criteria. In this work, we additionally evaluate the value of gradations of the criteria scale and construct a value function for UAV configurations. Using a simple simulation model, a numerical experiment was carried out for 1000 different operating conditions. The effectiveness of the proposed method is confirmed by the small size of deviations of the found solutions from the optimal ones.

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Section: Multicriteria Search Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multicriteria adaptation of agricultural spraying drones

Misyurin,

Neluybin,

Nosova

et al. 2024

BIO Web Conf.

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show abstract

“…2). [17] developed a drone-based mapping system using geospatial data analysis to detect cassava diseases, illustrating the practical application of precision agriculture technologies in disease detection. Cruz et al [4] designed a wireless sensor network that monitors soil moisture content to aid water management, serving as a tangible solution for precise water management and demonstrating the potential impact of precision agriculture in optimizing resource use.…”

Section: Distribution Of Agricultural Innovation Categories In Review...mentioning

confidence: 99%

Cultivating Tomorrow: A Comprehensive Review of Agricultural Innovations in the Philippines (2018-2023)

Taer,

Taer

2024

Preprint

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This systematic review undertook an examination of agricultural innovations in the Philippines spanning from 2018 to 2023. The objective was to provide a comprehensive categorization, analyze adoption trends, and offer recommendations to optimize research priorities. A methodical approach involving literature search, screening, and quantitative analysis facilitated an organized investigation into various innovation types, contributors, applications, and geographical contexts. The findings indicated that image analysis and sustainable farming systems held the highest shares within the innovation categories, comprising 26% and 23%, respectively. These segments showcased cutting-edge techniques along with a commitment to environmental stewardship. Notably, rice-centric innovations dominated at 33.33%, underscoring the underrepresentation of high-value crops, livestock, and remote farming sectors. However, a geographical bias was evident, with 69.23% of studies concentrating solely on Luzon regions, particularly in central and northern areas. This revealed a need to acknowledge the agricultural potential present in Visayas and Mindanao, emphasizing the necessity for increased research emphasis in these regions. Furthermore, the study unveiled a fragmented landscape in research contributions, with the majority of contributors representing less than a 5% share each. This fragmentation suggests a lack of cross-institutional partnerships, hindering a holistic and collaborative approach to agricultural innovation. Critical gaps in innovation prioritization and adoption levels were identified, particularly in sustainable practices, precision technologies, non-cereal commodities, and geographically disadvantaged communities. Addressing these gaps requires significant institutional support through modernization policies and localized capacity-building programs, ideally facilitated by industry-academia partnerships. In conclusion, the establishment of unified innovation transfer conduits is essential to expedite the transition of solutions from proofs-of-concept to farmer-ready tools, ensuring a targeted approach that caters to regional needs.

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“…In the Philippines, cassava phytoplasma disease (CPD) is a major threat to cassava farming. Irma et al [27] built a drone-based GIS solution for detecting CPD and informing farmers and relevant stakeholders so that they take the necessary steps to prevent the spread of the disease. On the raw data, they studied features such as color intensity, pixel intensity, ratio and coordinates plotting, and featured layer.…”

Section: Data Management Aspectsmentioning

confidence: 99%

“…On the raw data, they studied features such as color intensity, pixel intensity, ratio and coordinates plotting, and featured layer. The system was evaluated by its ability to detect infected stalks of cassava with CPD [27].…”

Section: Data Management Aspectsmentioning

confidence: 99%

A Novel Tightly Coupled Information System for Research Data Management

Senagi

Tonnang

2022

Electronics

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Most research projects are data driven. However, many organizations lack proper information systems (IS) for managing data, that is, planning, collecting, analyzing, storing, archiving, and sharing for use and re-use. Many research institutions have disparate and fragmented data that make it difficult to uphold the FAIR (findable, accessible, interoperable, and reusable) data management principles. At the same time, there is minimal practice of open and reproducible science. To solve these challenges, we designed and implemented an IS architecture for research data management. Through it, we have a centralized platform for research data management. The IS has several software components that are configured and unified to communicate and share data. The software components are, namely, common ontology, data management plan, data collectors, and the data warehouse. Results show that the IS components have gained global traction, 56.3% of the total web hits came from news users, and 259 projects had metadata (and 17 of those also had data resources). Moreover, the IS aligned the institution’s scientific data resources to universal standards such as the FAIR principles of data management and at the same time showcased open data, open science, and reproducible science. Ultimately, the architecture can be adopted by other organizations to manage research data.

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Drone-based Geographical Information System (GIS) Mapping of Cassava Pythoplasma Disease (CPD) for Precision Agriculture

Cited by 5 publications

References 11 publications

Multicriteria adaptation of agricultural spraying drones

Multicriteria adaptation of agricultural spraying drones

Cultivating Tomorrow: A Comprehensive Review of Agricultural Innovations in the Philippines (2018-2023)

A Novel Tightly Coupled Information System for Research Data Management

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