Wireless soil moisture detection with time drift compensation

Cruz, Febus Reidj G.; Ballado, Alejandro H.; Alcala, A. K. A.; Legaspi, A. K. S.; Lozada, E. L.; Portugal, V. L. P.

doi:10.1063/1.5080874

Cited by 4 publications

(4 citation statements)

References 9 publications

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“…IoT solutions for soil management aimed to identify different soil attributes used for planting. For example, such IoT solutions are used to measure the soil moisture [ 163 ], to identify the water consumption pattern [ 159 , 161 ] and to identify the nutrients of the soil [ 158 ]. IoT solutions for vehicles and machinery control focused on collecting data of and managing agricultural equipment and machinery such as tractors, harvesters and trucks.…”

Section: Discussionmentioning

confidence: 99%

A Systematic Review of IoT Solutions for Smart Farming

Navarro

Costa

Pereira

2020

Sensors

214

100

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The world population growth is increasing the demand for food production. Furthermore, the reduction of the workforce in rural areas and the increase in production costs are challenges for food production nowadays. Smart farming is a farm management concept that may use Internet of Things (IoT) to overcome the current challenges of food production. This work uses the preferred reporting items for systematic reviews (PRISMA) methodology to systematically review the existing literature on smart farming with IoT. The review aims to identify the main devices, platforms, network protocols, processing data technologies and the applicability of smart farming with IoT to agriculture. The review shows an evolution in the way data is processed in recent years. Traditional approaches mostly used data in a reactive manner. In more recent approaches, however, new technological developments allowed the use of data to prevent crop problems and to improve the accuracy of crop diagnosis.

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Section: Discussionmentioning

confidence: 99%

A Systematic Review of IoT Solutions for Smart Farming

Navarro

Costa

Pereira

2020

Sensors

214

100

View full text Add to dashboard Cite

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“…Agricultural innovations refer to the range of technologies, techniques, systems, and smart farming practices that harness cutting-edge tools like AI, and IoT (Espineli and Lewis, 2021; Tagle et al, 2018;Arago et al, 2022), advanced sensors (Cruz et al, 2018;Bacsa et al, 2019), robotics (De Padua et al, 2021) and data analytics (Lauguico et al, 2020: Velasco, 2020 to solve various e ciency, sustainability, productivity, and decision-making challenges in agriculture (Dhanaraju et al, 2022;Abashidze, 2023).…”

Section: Introductionmentioning

confidence: 99%

“…Hence consolidated, farmer-centric strategies are vital to shaping agricultural innovations into truly meaningful and widespread change agents.3.6. Precision agriculturePrecision agriculture refers to farming management concepts that utilize technological tools to enhance agricultural productivity and e ciency(Cruz et al, 2018). Emerging technologies such as sensors, robots, drones, satellite imagery, and information technology allow farmers to improve decision-making in crop production(Santos et al, 2019).…”

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confidence: 99%

“…Recent literature on precision agriculture technologies and practices in the Philippines highlights innovative applications across a range of crop production systems. For example, Plata et al (2022) developed a drone-based mapping system using geospatial data analysis to detect cassava diseases Cruz et al (2018). designed a wireless sensor network that monitors soil moisture content to aid water management Bacsa et al (2019).…”

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confidence: 99%

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Transforming Philippine Agriculture Through Data-driven Innovation: A Quantitative Landscape Assessment to Prioritize Technological Solutions

Taer,

Taer

2024

Preprint

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This systematic review analyzed agricultural innovations in the Philippines over 2018–2023 to provide comprehensive categorization, adoption trend analysis, and recommendations for optimizing research priorities. Methodical literature search, screening, and quantitative analysis facilitated organized investigation across innovation types, contributors, applications, and geographical contexts. Results revealed image analysis followed by the sustainable farming system had the highest segment (26% and 23%, respectively) of the innovation categories displaying cutting-edge techniques as well as environmental stewardship. Rice-centric innovations dominate (33.33%) showcasing the underrepresentation of high-value crops, livestock, and remote farming sectors. However, innovations have skewed geographical representation with 69.23% of studies concentrating only on Luzon regions, chiefly central and northern areas. Agricultural potential also exists across Visayas and Mindanao warranting increased emphasis. Additionally, most research contributors represent less than 5% share each, indicating a fragmentation in efforts lacking cross-institutional partnerships. Findings exposed critical gaps in innovation prioritization and adoption levels directed at sustainable practices, precision technologies, non-cereal commodities, and geographically disadvantaged communities. Significant institutional support is imperative to address disparities through modernization policies and localized capacity-building programs aided by industry-academia partnerships. Unified innovation transfer conduits can accelerate the transition of solutions from proofs-of-concept to farmer-ready tools catering to regional needs.

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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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Wireless soil moisture detection with time drift compensation

Cited by 4 publications

References 9 publications

A Systematic Review of IoT Solutions for Smart Farming

A Systematic Review of IoT Solutions for Smart Farming

Transforming Philippine Agriculture Through Data-driven Innovation: A Quantitative Landscape Assessment to Prioritize Technological Solutions

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

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