Smart farming: A potential solution towards a modern and sustainable agriculture in Panama

Collado, Edwin; Fossatti, Anibal; Sáez, Yessica

doi:10.3934/agrfood.2019.2.266

Cited by 21 publications

(16 citation statements)

References 12 publications

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“…By 2050, the world population is expected to reach 9 billion people, making the need for food to increase by 70% [8]. This increase is expected mainly in developing countries, where agriculture is a key factor for the economy and development.…”

Section: B Precision Agriculturementioning

confidence: 99%

“…The challenges in agriculture are mounting and it is estimated that the human population will reach 9 billion people by 2050 [8], increasing by 70% the food demand [9], [10]. To meet the growing demand for food, the water consumption in agriculture should increase by 41% [11], [12], the sector that is already responsible for pollution and consumption of almost 70% of the planet's fresh drinking water [13].…”

Section: Introductionmentioning

confidence: 99%

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Precision Techniques and Agriculture 4.0 Technologies to Promote Sustainability in the Coffee Sector: State of the Art, Challenges and Future Trends

et al. 2020

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Precision Agriculture (PA) and Agriculture 4.0 (A4.0) have been widely discussed as a medium to address the challenges related to agricultural production. In this research, we present a Systematic Literature Review (SLR) supported by a Bibliometric Performance and Network Analysis (BPNA) of the use of A4.0 technologies and PA techniques in the coffee sector. To perform the SLR, 87 documents published since 2011 were extracted from the Scopus and Web of Science databases and processed through the Preferred Reporting Items for Systematic reviews and Meta-Analyzes (PRISMA) protocol. The BPNA was carried out to identify the strategic themes in the field of study. The results present 23 clusters with different levels of development and maturity. We also discovered and presented the thematic network structure of the most used A4.0 technologies in the coffee sector. Our findings shows that Internet of Things, Machine Learning and geostatistics are the most used technologies in the coffee sector, we also present the main challenges and trends related to technological adoption in coffee systems. We believe that the demonstrated results have the potential to be considered by researchers in future works and decision making related to the field of study.

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Section: B Precision Agriculturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Precision Techniques and Agriculture 4.0 Technologies to Promote Sustainability in the Coffee Sector: State of the Art, Challenges and Future Trends

et al. 2020

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“…Verifica-se que a demanda por equipamentos inteligentes no Brasil direcionadas ao setor agrícola ainda está crescendo, a direção da pesquisa e desenvolvimento está gradualmente focalizadas no aumento sustentável das produções agrícolas, (Fei et al, 2019), de forma que, a manutenção dos pequenos produtores no campo dependerá deste desenvolvimento tecnológico. Pesquisa e Desenvolvimento (P D) objetivando a Agricultura Inteligente, para este perfil de produtores, fazendo uso de tecnologias de baixo custo e que interagem entre si através do uso de redes de comunicação na agricultura, tornando assim a produção paralela ao mercado consumidor de forma rápida e efetiva, com baixo custo, (Collado et al, 2018). Em segundo lugar estão os depositantes independentes, depositantes que em sua maioria são também inventores da PI.…”

Section: Propriedade Industrialunclassified

Mineração das propriedades industriais direcionadas ao setor agrícola no Brasil

Santos

Holanda

Oliveira

et al. 2020

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A agricultura familiar no Brasil apresenta-se como pilar da economia brasileira desde o período colonial, sendo o principal produtor dos alimentos mais consumidos, a exemplo: 70% do feijão, 34% do arroz, 87% da mandioca, 46% do milho, 38% do café e 21% do trigo. O setor de produção doméstica também é responsável por 60% da produção de leite e por 59% da carne suína, 50% de aves e 30% da bovina. Quanto à capacidade competitiva, observa-se uma redução ao longo dos anos, pelo crescimento tecnológico do agronegócio, em comparação às empresas que investem muitos em recursos, pesquisa e desenvolvimento (P&D), com destaque para agricultura de precisão. Se faz necessário, conhecer o cenário atual do desenvolvimento de Propriedades Intelectuais (PI) mais precisamente as de natureza industrial, direcionadas à agricultura familiar, de maneira que, decisões mais estratégicas sejam tomadas, buscando o engajamento aos avanços científicos aos produtores do setor agrícola, com maior consonância com o cumprimento de acabar com a fome, alcançar a segurança alimentar, melhorar a nutrição e promover a agricultura sustentável. O objetivo desse trabalho é analisar as propriedades industriais registradas no Brasil que sejam voltadas para a produção agrícola de perfil familiar, quais os principais atuantes, participação do estado e principais áreas, para identificar e amenizar lacunas que comprometam os objetivos do desenvolvimento citados. Para tanto, foram apresentados alicerces teóricos, países com maior quantidade de prioridade unionista no Brasil, e patentes registradas nos últimos 10 anos, de 2008 a 2018. A prospecção de string de busca para "agricultura familiar", resultou 1.052 no INPI, porém, desta totalidade, apenas 6 citaram a agricultura familiar com recursos facilitadores de implementação e/ou com efeitos sobre a produtividade, e o perfil de depositantes predominante no INPI foi o empresarial, seguidos pelos depositantes independentes.

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“…These changes have affected the field of agriculture with decreased production and crops quality. By 2050 world population is estimated to be 9 billions thereby increasing food necessity by 70% (Collado et al, 2018). Dne of the mechanisms used by the food industry to overcome this shortfall in the yield is the use of tunnel farming/hydroponics agriculture where environmental parameters like temperature, humidity and soil moisture are controlled.…”

Section: Introductionmentioning

confidence: 99%

ACHPA: A sensor based system for automatic environmental control in hydroponics

et al. 2020

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The trend towards tunnel farming and hydroponic systems is increasing owing to the climatic changes as well as the need to increase crop yield. Hydroponic is a technique of growing plants without soil. Tunnel farming and hydroponic system requires controlled environmental parameters like temperature, humidity and soil moisture for better production of crops. This paper presents an effective method, named, ACHPA (Automatically Controlled Hydro-Ponic Agriculture) scheme that monitor and controls environmental parameters using sensors and controller. ACHPA provides better environmental control over traditional manual monitoring and controlling, thus yield high-quality crops. Sensor based monitoring and control system regulates the temperature and humidity of the tunnel to yield better. For the sake of saving water, an efficient method of drip irrigation is implemented which delivers water directly to the plants rather than being sprayed on as in conventional farming method. The proposed system here is tested for controlled environment and observations recorded for crop analysis purpose. This makes an effective solution to growing highly efficient, good quality and disease free crop production.

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Smart farming: A potential solution towards a modern and sustainable agriculture in Panama

Cited by 21 publications

References 12 publications

Precision Techniques and Agriculture 4.0 Technologies to Promote Sustainability in the Coffee Sector: State of the Art, Challenges and Future Trends

Precision Techniques and Agriculture 4.0 Technologies to Promote Sustainability in the Coffee Sector: State of the Art, Challenges and Future Trends

Mineração das propriedades industriais direcionadas ao setor agrícola no Brasil

ACHPA: A sensor based system for automatic environmental control in hydroponics

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