Scientific development of smart farming technologies and their application in Brazil

Pivoto, Dieisson; Waquil, Paulo Dabdab; Talamini, Édson; Finocchio, Caroline Pauletto Spanhol; Corte, Vitor Francisco Dalla; Mores, Giana de Vargas

doi:10.1016/j.inpa.2017.12.002

Cited by 248 publications

(189 citation statements)

References 25 publications

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“…Wolferd et al explored smart farms through farm management, farm processes, network management organisation and network management technology (Wolfert et al, 2017). A few studies since 2010 have focused on climate change and big data in the domain of agriculture (Pivoto et al, 2018). An integrated theoretical framework developed by Horton et al (2016) considered the agri-food supply chainfrom land to peopleby integrating big data and data for all actors with any influence on agri-food businesses.…”

Section: Introductionmentioning

confidence: 99%

Big data for agri-food 4.0: Application to sustainability management for by-products supply chain

Belaud

Prioux

Vialle

et al. 2019

Computers in Industry

204

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A B S T R A C TThe bioconversion of lignocellulosic biomass is a promising method for the production of bio-energy, biomolecules and biomaterials. Pretreatment of the lignocellulosic biomass is an essential step in this process. The choice of pretreatment process is a difficult one, and there are currently no clear criteria on which to base this choice. This project, with its sustainability and agri-food perspective, used environmental impacts to assess the various processes and their panels of technologies. The approach developed integrates big data, to improve sustainability management in supply chain design, with the aim of valorising agricultural waste. In five main steps, this approach combines concepts from industry 4.0, sustainability and the agri-food industry. We apply this approach to a case study in the domain of agricultural waste valorisation: the pretreatment of lignocellulosic biomass in the rice supply chain.

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Section: Introductionmentioning

confidence: 99%

Big data for agri-food 4.0: Application to sustainability management for by-products supply chain

Belaud

Prioux

Vialle

et al. 2019

Computers in Industry

204

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“…The utilization of different sensors and connected devices in smart farming are tailored specifically to optimize the quality and quantity of inputs, while preserving resources, from delivering visibility into crop and soil health to predicting crop performance and detecting outbreaks of harmful pests [118]. For rice production, smart farming recently became routine in some countries (such as the United States and Japan) that can afford the high cost of technology [119]. A more cost-effective and flexible smart farming system is pivotal to attract more rice-producing countries to adopt this farm management concept in the near future.…”

Section: Laying the Route To Sustainable Rice Production: What Can Wementioning

confidence: 99%

The 21st Century Agriculture: When Rice Research Draws Attention to Climate Variability and How Weedy Rice and Underutilized Grains Come in Handy

Hanafiah

Mispan

Lim

et al. 2020

Plants

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Rice, the first crop to be fully sequenced and annotated in the mid-2000s, is an excellent model species for crop research due mainly to its relatively small genome and rich genetic diversity. The 130-million-year-old cereal came into the limelight in the 1960s when the semi-dwarfing gene sd-1, better known as the "green revolution" gene, resulted in the establishment of a high-yielding semi-dwarf variety IR8. Deemed as the miracle rice, IR8 saved millions of lives and revolutionized irrigated rice farming particularly in the tropics. The technology, however, spurred some unintended negative consequences, especially in prompting ubiquitous monoculture systems that increase agricultural vulnerability to extreme weather events and climate variability. One feasible way to incorporate resilience in modern rice varieties with narrow genetic backgrounds is by introgressing alleles from the germplasm of its weedy and wild relatives, or perhaps from the suitable underutilized species that harbor novel genes responsive to various biotic and abiotic stresses. This review reminisces the fascinating half-century journey of rice research and highlights the potential utilization of weedy rice and underutilized grains in modern breeding programs. Other possible alternatives to improve the sustainability of crop production systems in a changing climate are also discussed.

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“…This shows that the more acces farmers in obtaining technology resources mastery, the higher the quality of broiler farming business. Pivoto et al (2018) Smart Farming (SF) involves the incorporation of information and communication technologies into machinery, equipment, and sensors for use in agricultural production systems, so this can only be achieved through increased use of emerging technologies and automated systems (Føre et al 2018) such as geographical and farm related risk factors for Newcastle disease (Wiseman et al 2018).…”

Section: Factors Affecting Human Resourcesmentioning

confidence: 99%

Model of Resources Development in Partnership System of Broiler Farming Business

Amam¹,

Fanani²,

Hartono³

et al. 2019

JITV

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ABSTRAKAmam, Fanani Z, Hartono B, Nugroho BA. 2019. Identifikasi sumber daya dalam sistem usaha peternakan broiler. JITV 23(4): 135-142. DOI: http://dx.Aksesibilitas terhadap sumber daya secara teori berpengaruh terhadap pengembangan usaha peternakan broiler di suatu wilayah. Penelitian ini bertujuan untuk merumuskan indikator sumber daya yang berpengaruh terhadap pengembangan usaha peternakan broiler. Penelitian dilakukan pada bulan Agustus 2017 hingga Januari 2018 di Kabupaten Malang, Provinsi Jawa Timur, Indonesia. Jumlah sampel sebanyak 100 peternak ayam broiler. Variabel penelitian terdiri dari sumber daya finansial, teknologi, fisik, ekonomi, lingkungan, sosial, Sumber Daya Manusia (SDM), dan pengembangan usaha peternakan broiler. Data dianalisis menggunakan metode SEM dengan SmartPLS 2.0. Hasil penelitian menunjukkan bahwa pengembangan usaha peternakan broiler dipengaruhi secara langsung dan signifikan oleh sumber daya finansial, fisik, ekonomi, dan SDM, namun tidak signifikan oleh sumber daya teknologi, lingkungan, dan sosial. Pengembangan usaha peternakan broiler secara tidak langsung melalui SDM dipengaruhi secara signifikan oleh sumber daya finansial, teknologi, fisik, dan ekonomi. Kesimpulan dari penelitian ialah sumber daya teknologi berperan penting walau tidak secara langsung karena harus didukung oleh SDM peternak dalam pengembangan usaha peternakan broiler. ABSTRACTAmam, Fanani Z, Hartono B, Nugroho BA. 2019. Identification of resources in the system of broiler farming business. JITV 23 (4): 135-142. DOI: http://dx.

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Scientific development of smart farming technologies and their application in Brazil

Cited by 248 publications

References 25 publications

Big data for agri-food 4.0: Application to sustainability management for by-products supply chain

Big data for agri-food 4.0: Application to sustainability management for by-products supply chain

The 21st Century Agriculture: When Rice Research Draws Attention to Climate Variability and How Weedy Rice and Underutilized Grains Come in Handy

Model of Resources Development in Partnership System of Broiler Farming Business

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