{"results":[{"id":"ss_410f5df8ff2625eba69e61355c340d1ff1052ade","title":"IoT Solutions in Agriculture: Enhancing Efficiency and Productivity","authors":[{"name":"S. Pawar"}],"abstract":"The agricultural sector is on the brink of a transformative era with the emergence of Internet of Things (IoT) technologies. This paper delves into integrating IoT solutions in agriculture, focusing on how these technologies can significantly enhance efficiency, productivity, and sustainability. It explores various IoT applications, including precision farming, automated irrigation, soil monitoring, and pest control, and discusses their benefits and challenges. The study underlines the immense potential of IoT in shaping the future of agriculture by harnessing real-time data, advanced analytics, and intelligent decision-making systems.","source":"Semantic Scholar","year":2024,"language":"en","subjects":null,"doi":"10.38124/ijisrt/ijisrt24may2442","url":"https://www.semanticscholar.org/paper/410f5df8ff2625eba69e61355c340d1ff1052ade","pdf_url":"https://doi.org/10.38124/ijisrt/ijisrt24may2442","is_open_access":true,"citations":925,"published_at":"","score":95.75},{"id":"ss_54730570fcb7d8e7cc89f6304d0e0c4fb7581e9d","title":"Food and Agriculture Organization of the United Nations—FAO","authors":[{"name":"H. Canton"}],"abstract":"Since 1981, the São Paulo Forest Institute (lFSP) has been conserving ex situ Gallesia goraremo (pau d'alho) populations in São Paulo State. The ex situ conservation bank is located at Luiz Antonio Experimental Station, in a compact family block design, with three populations, 17 to 21 families per population, five individuais per subplot and six replications. The DBH, height, volume and survival traits were measured at ten years old. Variation analysis for ali traits revealed significant genetic differences among populations and families/population. The components of variation showed that the most of genetic va1iability was within popúlation. The genetic and phenotypic correlations between traits were high (\u003e 0.8) showing the possibility of selection 111 one trait while obtaining gain in another. The genetic gain within families showed the possibility to obtain expressive gains (minimum 5.7%). Finally, the effective size estimation and the low probability of not retaining rare alleles within populat1ons revealed that the adopted sampling strate�y was efficient to preserve the intrapopulational evolutionary potential and retain at least rare alleles withm each population.","source":"Semantic Scholar","year":2021,"language":"en","subjects":["Political Science"],"doi":"10.4324/9781003179900-41","url":"https://www.semanticscholar.org/paper/54730570fcb7d8e7cc89f6304d0e0c4fb7581e9d","is_open_access":true,"citations":1505,"published_at":"","score":95},{"id":"ss_d1da853892ab1db2db040b43f4fd296d639c5636","title":"Agriculture Development, Pesticide Application and Its Impact on the Environment","authors":[{"name":"Muyesaier Tudi"},{"name":"Huada Daniel Ruan"},{"name":"Li Wang"},{"name":"J. Lyu"},{"name":"R. Sadler"},{"name":"D. Connell"},{"name":"C. Chu"},{"name":"D. Phung"}],"abstract":"Pesticides are indispensable in agricultural production. They have been used by farmers to control weeds and insects, and their remarkable increases in agricultural products have been reported. The increase in the world’s population in the 20th century could not have been possible without a parallel increase in food production. About one-third of agricultural products are produced depending on the application of pesticides. Without the use of pesticides, there would be a 78% loss of fruit production, a 54% loss of vegetable production, and a 32% loss of cereal production. Therefore, pesticides play a critical role in reducing diseases and increasing crop yields worldwide. Thus, it is essential to discuss the agricultural development process; the historical perspective, types and specific uses of pesticides; and pesticide behavior, its contamination, and adverse effects on the natural environment. The review study indicates that agricultural development has a long history in many places around the world. The history of pesticide use can be divided into three periods of time. Pesticides are classified by different classification terms such as chemical classes, functional groups, modes of action, and toxicity. Pesticides are used to kill pests and control weeds using chemical ingredients; hence, they can also be toxic to other organisms, including birds, fish, beneficial insects, and non-target plants, as well as air, water, soil, and crops. Moreover, pesticide contamination moves away from the target plants, resulting in environmental pollution. Such chemical residues impact human health through environmental and food contamination. In addition, climate change-related factors also impact on pesticide application and result in increased pesticide usage and pesticide pollution. Therefore, this review will provide the scientific information necessary for pesticide application and management in the future.","source":"Semantic Scholar","year":2021,"language":"en","subjects":["Environmental Science","Medicine"],"doi":"10.3390/ijerph18031112","url":"https://www.semanticscholar.org/paper/d1da853892ab1db2db040b43f4fd296d639c5636","pdf_url":"https://www.mdpi.com/1660-4601/18/3/1112/pdf?version=1611886950","is_open_access":true,"citations":1942,"published_at":"","score":95},{"id":"ss_518a7c79968a56d63a691d42f8378be6c776167e","title":"Deep learning in agriculture: A survey","authors":[{"name":"A. Kamilaris"},{"name":"F. Prenafeta-Boldú"}],"abstract":"Abstract Deep learning constitutes a recent, modern technique for image processing and data analysis, with promising results and large potential. As deep learning has been successfully applied in various domains, it has recently entered also the domain of agriculture. In this paper, we perform a survey of 40 research efforts that employ deep learning techniques, applied to various agricultural and food production challenges. We examine the particular agricultural problems under study, the specific models and frameworks employed, the sources, nature and pre-processing of data used, and the overall performance achieved according to the metrics used at each work under study. Moreover, we study comparisons of deep learning with other existing popular techniques, in respect to differences in classification or regression performance. Our findings indicate that deep learning provides high accuracy, outperforming existing commonly used image processing techniques.","source":"Semantic Scholar","year":2018,"language":"en","subjects":["Computer Science","Mathematics","Engineering"],"doi":"10.1016/j.compag.2018.02.016","url":"https://www.semanticscholar.org/paper/518a7c79968a56d63a691d42f8378be6c776167e","pdf_url":"https://repositori.irta.cat/bitstream/20.500.12327/314/1/kamilaris_deep_2018.pdf","is_open_access":true,"citations":3838,"published_at":"","score":92},{"id":"ss_6e23398447a022fb9495c44fa80e9de593a574bc","title":"Machine Learning in Agriculture: A Review","authors":[{"name":"Konstantinos G. Liakos"},{"name":"P. Busato"},{"name":"D. Moshou"},{"name":"S. Pearson"},{"name":"D. Bochtis"}],"abstract":"Machine learning has emerged with big data technologies and high-performance computing to create new opportunities for data intensive science in the multi-disciplinary agri-technologies domain. In this paper, we present a comprehensive review of research dedicated to applications of machine learning in agricultural production systems. The works analyzed were categorized in (a) crop management, including applications on yield prediction, disease detection, weed detection crop quality, and species recognition; (b) livestock management, including applications on animal welfare and livestock production; (c) water management; and (d) soil management. The filtering and classification of the presented articles demonstrate how agriculture will benefit from machine learning technologies. By applying machine learning to sensor data, farm management systems are evolving into real time artificial intelligence enabled programs that provide rich recommendations and insights for farmer decision support and action.","source":"Semantic Scholar","year":2018,"language":"en","subjects":["Medicine","Computer Science"],"doi":"10.3390/s18082674","url":"https://www.semanticscholar.org/paper/6e23398447a022fb9495c44fa80e9de593a574bc","pdf_url":"https://www.mdpi.com/1424-8220/18/8/2674/pdf?version=1534247979","is_open_access":true,"citations":2351,"published_at":"","score":92},{"id":"ss_52afa15bcdbe94f5a27217f3ed303e1447ee8157","title":"World agriculture towards 2030/2050: the 2012 revision","authors":[{"name":"N. Alexandratos"},{"name":"J. Bruinsma"}],"abstract":"","source":"Semantic Scholar","year":2012,"language":"en","subjects":["Geography"],"doi":"10.22004/AG.ECON.288998","url":"https://www.semanticscholar.org/paper/52afa15bcdbe94f5a27217f3ed303e1447ee8157","is_open_access":true,"citations":3511,"published_at":"","score":86},{"id":"ss_2d743ab0a7d199a4f4431cb2a5edcebe7669bd97","title":"Global food demand and the sustainable intensification of agriculture","authors":[{"name":"D. Tilman"},{"name":"Christian Balzer"},{"name":"Jason D. Hill"},{"name":"Belinda L Befort"}],"abstract":"","source":"Semantic Scholar","year":2011,"language":"en","subjects":["Medicine","Environmental Science"],"doi":"10.1073/pnas.1116437108","url":"https://www.semanticscholar.org/paper/2d743ab0a7d199a4f4431cb2a5edcebe7669bd97","pdf_url":"https://www.pnas.org/content/pnas/108/50/20260.full.pdf","is_open_access":true,"citations":6843,"published_at":"","score":85},{"id":"ss_6293c0b276f3683aeeaf79dfa2a039f5ce8d9d08","title":"The Path to Smart Farming: Innovations and Opportunities in Precision Agriculture","authors":[{"name":"F. Marinello"},{"name":"Xiuguo Zou"},{"name":"Zheng Liu"},{"name":"Xiaochen Zhu"},{"name":"Wentian Zhang"},{"name":"Yan Qian"},{"name":"Yuhua Li"},{"name":"E. Karunathilake"},{"name":"Anh Tuan Le"},{"name":"S. Heo"},{"name":"Y. Chung"},{"name":"Sheikh Mansoor"}],"abstract":"Precision agriculture employs cutting-edge technologies to increase agricultural productivity while reducing adverse impacts on the environment. Precision agriculture is a farming approach that uses advanced technology and data analysis to maximize crop yields, cut waste, and increase productivity. It is a potential strategy for tackling some of the major issues confronting contemporary agriculture, such as feeding a growing world population while reducing environmental effects. This review article examines some of the latest recent advances in precision agriculture, including the Internet of Things (IoT) and how to make use of big data. This review article aims to provide an overview of the recent innovations, challenges, and future prospects of precision agriculture and smart farming. It presents an analysis of the current state of precision agriculture, including the most recent innovations in technology, such as drones, sensors, and machine learning. The article also discusses some of the main challenges faced by precision agriculture, including data management, technology adoption, and cost-effectiveness.","source":"Semantic Scholar","year":2023,"language":"en","subjects":null,"doi":"10.3390/agriculture13081593","url":"https://www.semanticscholar.org/paper/6293c0b276f3683aeeaf79dfa2a039f5ce8d9d08","pdf_url":"https://www.mdpi.com/2077-0472/13/8/1593/pdf?version=1691744642","is_open_access":true,"citations":525,"published_at":"","score":82.75},{"id":"ss_e8d461b1c1788a4a08c8e2b13b006e4fe2e15bfc","title":"World development report 2008 : agriculture for development","authors":[{"name":"R. Townsend"},{"name":"E. Sadoulet"},{"name":"A. Janvry"},{"name":"D. Byerlee"},{"name":"Irina I. Klytchnikova"}],"abstract":"Agriculture is a vital development tool for achieving the Millennium Development Goal that calls for halving by 2015 the share of people suffering from extreme poverty and hunger. That is the overall message of this year's World Development Report (WDR), the 30th in the series. Three out of every four poor people in developing countries live in rural areas, and most of them depend directly or indirectly on agriculture for their livelihoods. This report provides guidance to governments and the international community on designing and implementing agriculture for development agendas that can make a difference in the lives of hundreds of millions of rural poor. The report highlights two major regional challenges. In much of Sub-Saharan Africa, agriculture is a strong option for spurring growth, overcoming poverty, and enhancing food security. Agricultural productivity growth is vital for stimulating growth in other parts of the economy. But accelerated growth requires a sharp productivity increase in smallholder farming combined with more effective support to the millions coping as subsistence farmers, many of them in remote areas. Recent improved performance holds promise, and this report identifies many emerging successes that can be scaled up. In Asia, overcoming widespread poverty requires confronting widening rural-urban income disparities. Asia's fast-growing economies remain home to over 600 million rural people living in extreme poverty, and despite massive rural-urban migration, rural poverty will remain dominant for several more decades. For this reason, the WDR focuses on ways to generate rural jobs by diversifying into labor intensive, high value agriculture linked to a dynamic rural, non-farm sector. In all regions, with rising land and water scarcity and the added pressures of a globalizing world, the future of agriculture is intrinsically tied to better stewardship of natural resources. With the right incentives and investments, agriculture's environmental footprint can be lightened and environmental services harnessed to protect watersheds and biodiversity.","source":"Semantic Scholar","year":2008,"language":"en","subjects":["Business"],"doi":"10.5860/choice.45-4765","url":"https://www.semanticscholar.org/paper/e8d461b1c1788a4a08c8e2b13b006e4fe2e15bfc","pdf_url":"https://openknowledge.worldbank.org/bitstreams/8d8ad2dd-5c98-5042-8aad-744fdd7b034f/download","is_open_access":true,"citations":3910,"published_at":"","score":82},{"id":"ss_ce5d99cfd5f5dd826e0432c285ac91590fc94d41","title":"Smart Farming: Internet of Things (IoT)-Based Sustainable Agriculture","authors":[{"name":"M. Dhanaraju"},{"name":"Poongodi Chenniappan"},{"name":"Kumaraperumal Ramalingam"},{"name":"S. Pazhanivelan"},{"name":"R. Kaliaperumal"}],"abstract":"Smart farming is a development that has emphasized information and communication technology used in machinery, equipment, and sensors in network-based hi-tech farm supervision cycles. Innovative technologies, the Internet of Things (IoT), and cloud computing are anticipated to inspire growth and initiate the use of robots and artificial intelligence in farming. Such ground-breaking deviations are unsettling current agriculture approaches, while also presenting a range of challenges. This paper investigates the tools and equipment used in applications of wireless sensors in IoT agriculture, and the anticipated challenges faced when merging technology with conventional farming activities. Furthermore, this technical knowledge is helpful to growers during crop periods from sowing to harvest; and applications in both packing and transport are also investigated.","source":"Semantic Scholar","year":2022,"language":"en","subjects":null,"doi":"10.3390/agriculture12101745","url":"https://www.semanticscholar.org/paper/ce5d99cfd5f5dd826e0432c285ac91590fc94d41","pdf_url":"https://www.mdpi.com/2077-0472/12/10/1745/pdf?version=1666671747","is_open_access":true,"citations":524,"published_at":"","score":81.72},{"id":"ss_5ec4d55adf3555f0d8b1b338b6e3e7d22252256c","title":"The Food and Agriculture Organization of the United Nations","authors":[{"name":"H. Belshaw"}],"abstract":"","source":"Semantic Scholar","year":1947,"language":"en","subjects":["Business"],"doi":"10.1017/S002081830000607X","url":"https://www.semanticscholar.org/paper/5ec4d55adf3555f0d8b1b338b6e3e7d22252256c","is_open_access":true,"citations":9186,"published_at":"","score":80},{"id":"ss_1233666996801834ce18eb3b338821ca71182d43","title":"Water quality for agriculture","authors":[{"name":"R. Ayers"},{"name":"D. Westcot"}],"abstract":"","source":"Semantic Scholar","year":1976,"language":"en","subjects":["Environmental Science"],"url":"https://www.semanticscholar.org/paper/1233666996801834ce18eb3b338821ca71182d43","is_open_access":true,"citations":4085,"published_at":"","score":80},{"id":"ss_9962065a8fcf0dce16dcb5a57b9c591720efbe29","title":"The State of Food and Agriculture","authors":[{"name":"Paying Farmers"}],"abstract":"","source":"Semantic Scholar","year":1962,"language":"en","subjects":["Chemistry"],"doi":"10.1097/00010694-196204000-00023","url":"https://www.semanticscholar.org/paper/9962065a8fcf0dce16dcb5a57b9c591720efbe29","is_open_access":true,"citations":3982,"published_at":"","score":80},{"id":"ss_572d2e3b3df1a67cd74687b1e515de88148a3cf3","title":"Habitat management to conserve natural enemies of arthropod pests in agriculture.","authors":[{"name":"D. Landis"},{"name":"S. Wratten"},{"name":"G. Gurr"}],"abstract":"","source":"Semantic Scholar","year":2000,"language":"en","subjects":["Biology","Medicine"],"doi":"10.1146/ANNUREV.ENTO.45.1.175","url":"https://www.semanticscholar.org/paper/572d2e3b3df1a67cd74687b1e515de88148a3cf3","is_open_access":true,"citations":3016,"published_at":"","score":80},{"id":"ss_034327edf1c25fbc753ea25ec22e05bc4c5ad3d2","title":"Climate change exacerbates the environmental impacts of agriculture","authors":[{"name":"Yi Yang"},{"name":"David Tilman"},{"name":"Zhenong Jin"},{"name":"Peter Smith"},{"name":"Christopher B. Barrett"},{"name":"Yong-guan Zhu"},{"name":"J. Burney"},{"name":"P. D’Odorico"},{"name":"P. Fantke"},{"name":"Joseph E. Fargione"},{"name":"J. Finlay"},{"name":"M. Rulli"},{"name":"Lindsey L. Sloat"},{"name":"Kees Jan van Groenigen"},{"name":"Paul C. West"},{"name":"Lewis Ziska"},{"name":"A. Michalak"},{"name":"David B. Lobell"}],"abstract":"Agriculture’s global environmental impacts are widely expected to continue expanding, driven by population and economic growth and dietary changes. This Review highlights climate change as an additional amplifier of agriculture’s environmental impacts, by reducing agricultural productivity, reducing the efficacy of agrochemicals, increasing soil erosion, accelerating the growth and expanding the range of crop diseases and pests, and increasing land clearing. We identify multiple pathways through which climate change intensifies agricultural greenhouse gas emissions, creating a potentially powerful climate change–reinforcing feedback loop. The challenges raised by climate change underscore the urgent need to transition to sustainable, climate-resilient agricultural systems. This requires investments that both accelerate adoption of proven solutions that provide multiple benefits, and that discover and scale new beneficial processes and food products. Editor’s summary Intensive agriculture creates multiple environmental challenges, including runoff of excess nutrients, use of chemical pesticides, biodiversity loss, and greenhouse gas emissions. Curbing these negative effects of agriculture while feeding a growing global population is already a massive challenge and one that will likely be exacerbated by climate change. Yang et al. reviewed the research on interactions between climate change and agriculture’s environmental impacts and found that most of this work suggests even greater challenges to come. —Bianca Lopez BACKGROUND Modern agriculture has large global environmental impacts, from greenhouse gas (GHG) emissions to water and air pollution to biodiversity loss. It is widely expected that agriculture’s environmental impacts will escalate because a growing and richer global population will likely demand more agricultural products, including foods, feeds, fibers, and biofuels. Climate change, though less studied in this regard, is a second potential amplifier of agricultural environmental impacts. As climate change intensifies, it not only poses great risks to agricultural productivity, but its deviation from the relatively stable state under which modern agriculture evolved and has long operated also has profound implications for how agriculture interacts with the environment, and vice versa. In this Review, we present a synthesis of how climate change could amplify the environmental impacts of agriculture, from increases in GHG emissions, water use and scarcity, soil erosion, nitrogen and phosphorus pollution, pest outbreaks and pesticide use and pollution, and biodiversity loss. We discuss solutions to the challenges raised by how climate change could affect agricultural sustainability. ADVANCES Two major findings emerge from our synthesis. First, climate change will likely exacerbate the already large environmental impacts of agricultural production. It would do so by (i) directly and negatively affecting agricultural productivity; (ii) reducing the efficacy of agrochemicals and increasing their loss to the environment; and (iii) increasing crop pests and soil erosion. Yield reductions and loss of fertile soils would lead to increased land clearing and subsequent species extinctions and GHG emissions, and/or to agrochemical intensification to retain or increase yields. Greater agrochemical inputs mean greater chemical pollution of the environment and greater GHG emissions. Decreased agrochemical efficacy could also lead to compensatory increases in agrochemical use. These climatic impacts can be independent of, hence additive to or multiplicative of, one another, making climate change a potentially important amplifier of agriculture’s environmental footprints. Second, agriculture already accounts for almost a quarter of global GHG emissions, and agriculture’s response to climate change could create a powerful positive GHG feedback loop through multiple pathways. Climate change could intensify agricultural GHG emissions directly—for example, through increasing CH4 emissions from rice paddies, N2O emissions from soil, and CO2 emissions from land clearing and soil tillage. It could also induce more GHG emissions indirectly—for example, if more agrochemicals are needed to compensate for their reduced efficacy; if drier conditions require more energy- and carbon-intensive irrigation; or if greater losses of nutrients from agricultural fields stimulate more biogenic GHG emissions in aquatic systems. These climate-agriculture feedback effects warrant increased attention. OUTLOOK Agricultural reliability and sustainability are of key long-term importance for human and planetary health. The challenges raised by climate change require accelerated adoption of practices and technologies that improve agriculture’s environmental sustainability and climate resilience, especially those that can simultaneously deliver multiple benefits, such as diversification and integrated soil fertility management. However, socioeconomic barriers impede adoption of sustainable practices and technologies. Improved context-specific understanding of these barriers is urgently needed, as are innovative policies to overcome them. Greater investments in the discovery, adaptation, and cost reduction of emerging agricultural technologies could help make agriculture more reliable, sustainable, and climate resilient, as could the adoption of novel foods and healthier diets that would require far less land, water, and chemicals per capita than at present. Our synthesis also identifies many unanswered questions. Although the direction of climate impacts is often clear, the relevant magnitudes are not. Quantitative assessments from local to global scales will be needed, especially for the climate-agriculture feedback loop. Other feedback loops, such as the climate-agriculture-biodiversity loop, are also complicated and require mechanistic and quantitative analyses. The major environmental impacts of agricultural systems and potentially exacerbating effects of climate change (dark red circle in the center). IMAGES: Vectorstock.com","source":"Semantic Scholar","year":2024,"language":"en","subjects":["Medicine"],"doi":"10.1126/science.adn3747","url":"https://www.semanticscholar.org/paper/034327edf1c25fbc753ea25ec22e05bc4c5ad3d2","is_open_access":true,"citations":343,"published_at":"","score":78.28999999999999},{"id":"ss_a39f8ffc7560336fa22590707b8d974504b68395","title":"The digitization of agricultural industry – a systematic literature review on agriculture 4.0","authors":[{"name":"R. Abbasi"},{"name":"P. Martinez"},{"name":"Rafiq Ahmad"}],"abstract":"Agriculture is considered one of the most important sectors that play a strategic role in ensuring food security. However, with the increasing world‘s population, agri-food demands are growing — posing the need to switch from traditional agricultural methods to smart agriculture practices, also known as agriculture 4.0. To fully benefit from the potential of agriculture 4.0, it is significant to understand and address the problems and challenges associated with it. This study, therefore, aims to contribute to the development of agriculture 4.0 by investigating the emerging trends of digital technologies in the agricultural industry. For this purpose, a systematic literature review based on Protocol of Preferred Reporting Items for Systematic Reviews and MetaAnalyses is conducted to analyse the scientific literature related to crop farming published in the last decade. After applying the protocol, 148 papers were selected and the extent of digital technologies adoption in agriculture was examined in the context of service type, technology readiness level, and farm type. The results have shown that digital technologies such as autonomous robotic systems, internet of things, and machine learning are significantly explored and open-air farms are frequently considered in research studies (69%), contrary to indoor farms (31%). Moreover, it is observed that most use cases are still in the prototypical phase. Finally, potential roadblocks to the digitization of the agriculture sector were identified and classified at technical and socio-economic levels. This comprehensive review results in providing useful information on the current status of digital technologies in agriculture along with prospective future opportunities.","source":"Semantic Scholar","year":2022,"language":"en","subjects":null,"doi":"10.1016/j.atech.2022.100042","url":"https://www.semanticscholar.org/paper/a39f8ffc7560336fa22590707b8d974504b68395","pdf_url":"https://doi.org/10.1016/j.atech.2022.100042","is_open_access":true,"citations":384,"published_at":"","score":77.52},{"id":"ss_425b0a683c1c31ddaf3074af021fff5099affc1b","title":"Internet of things and smart sensors in agriculture: Scopes and challenges","authors":[{"name":"Prem Rajak"},{"name":"Abhratanu Ganguly"},{"name":"Satadal Adhikary"},{"name":"Suchandra Bhattacharya"}],"abstract":"","source":"Semantic Scholar","year":2023,"language":"en","subjects":null,"doi":"10.1016/j.jafr.2023.100776","url":"https://www.semanticscholar.org/paper/425b0a683c1c31ddaf3074af021fff5099affc1b","pdf_url":"https://doi.org/10.1016/j.jafr.2023.100776","is_open_access":true,"citations":248,"published_at":"","score":74.44},{"id":"ss_a400c84ab007031a722fdb756d2ad02ff999229c","title":"Assessment and Principles of Environmentally Sustainable Food and Agriculture Systems","authors":[{"name":"R. Çakmakçı"},{"name":"M. A. Salık"},{"name":"S. Çakmakçı"}],"abstract":"Feeding the world depends on protecting our valuable ecosystems and biodiversity. Currently, increasing public awareness of the problems posed by the current industrialized food system has resulted in increased support for the creative market for economically, socially, and ecologically sustainable food production systems and enhanced demands for variations in agricultural policies and regulations. In food production, the restoration and protection of ecosystems and sustainable food systems must be given priority, which requires a forward-looking rational management strategy and fundamental changes in patterns and practices of economic development, product, and production. Food systems should be redesigned to have a neutral and positive environmental impact, as well as ensure healthy nutrition and food safety, and low environmental impact strategies should become a priority. This review paper aims to discuss, build, guide and evaluate sustainable food systems, principles, and transition strategies such as agroecological, organic, biodynamic, regenerative, urban, and precision agriculture, which are imperative visions for the management of agriculture and food production. To this end, we analyzed the evolution of the established strategies to develop sustainable agriculture and food systems, and we created assessment of key sustainability issues related to food, environment, climate, and rural development priorities and resource use practices.","source":"Semantic Scholar","year":2023,"language":"en","subjects":null,"doi":"10.3390/agriculture13051073","url":"https://www.semanticscholar.org/paper/a400c84ab007031a722fdb756d2ad02ff999229c","pdf_url":"https://www.mdpi.com/2077-0472/13/5/1073/pdf?version=1684316276","is_open_access":true,"citations":201,"published_at":"","score":73.03},{"id":"ss_a223e57609d5a4ce286936871bc403833a4d43bc","title":"Computer vision in smart agriculture and precision farming: Techniques and applications","authors":[{"name":"Sumaira Ghazal"},{"name":"Arslan Munir"},{"name":"W. S. Qureshi"}],"abstract":"The transformation of age-old farming practices through the integration of digitization and automation has sparked a revolution in agriculture that is driven by cutting-edge computer vision and arti fi cial intelligence (AI) technologies. This transformation not only promises increased productivity and economic growth, but also has the potential to address important global issues such as food security and sustainability. This survey paper aims to provide a holistic understanding of the integration of vision-based intelligent systems in various aspects of precision agriculture. By providing a detailed discussion on key areas of digital life cycle of crops, this survey contributes to a deeper understanding of the complexities associated with the implementation of vision-guided intelligent systems in challenging agricultural environments. The focus of this survey is to explore widelyusedimagingandimageanalysistechniquesbeingutilizedforprecisionfarmingtasks.Thispaper fi rstdis-cussesvarioussalientcropmetricsusedindigitalagriculture.Thenthispaperillustratestheusageofimagingand computer vision techniques in various phases of digital life cycle of crops in precision agriculture, such as image acquisition, image stitching and photogrammetry, image analysis, decision making, treatment, and planning. After establishing a thorough understanding of related terms and techniques involved in the implementation of vision-based intelligent systems for precision agriculture, the survey concludes by outlining the challenges associated with implementing generalized computer vision models for real-time deployment of fully autonomous farms.","source":"Semantic Scholar","year":2024,"language":"en","subjects":null,"doi":"10.1016/j.aiia.2024.06.004","url":"https://www.semanticscholar.org/paper/a223e57609d5a4ce286936871bc403833a4d43bc","pdf_url":"https://doi.org/10.1016/j.aiia.2024.06.004","is_open_access":true,"citations":159,"published_at":"","score":72.77000000000001},{"id":"ss_d25779d0cb661d34a1c5c8486ca9c4590f539565","title":"Phosphorus-Solubilizing Microorganisms: A Key to Sustainable Agriculture","authors":[{"name":"L. Silva"},{"name":"M. C. Pereira"},{"name":"A. Carvalho"},{"name":"V. H. Buttrós"},{"name":"M. Pasqual"},{"name":"J. Dória"}],"abstract":"Phosphorus (P) is one of the essential macronutrients for plant growth, being a highly required resource to improve the productive performance of several crops, especially in highly weathered soils. However, a large part of the nutrients applied in the form of fertilizers becomes “inert” in the medium term and cannot be assimilated by plants. Rationalizing the use of phosphorus is a matter of extreme importance for environmental sustainability and socioeconomic development. Therefore, alternatives to the management of this nutrient are needed, and the use of P-solubilizing microorganisms is an option to optimize its use by crops, allowing the exploration of less available fractions of the nutrient in soils and reducing the demand for phosphate fertilizers. The objective of this study is to discuss the importance of phosphorus and how microorganisms can intermediate its sustainable use in agriculture. In this review study, we present several studies about the role of microorganisms as phosphorus mobilizers in the soil. We describe the importance of the nutrient for the plants and the main problems related to the unsustainable exploitation of its natural reserves and the use of chemical fertilizers. Mainly we highlight how microorganisms constitute a fundamental resource for the release of the inert portion of the nutrient, where we describe several mechanisms of solubilization and mineralization. We also discussed the benefits that the inoculation of P-solubilizing microorganisms provides to crops as well as practices of using them as bioinoculants. The use of microorganisms as inoculants is a viable resource for the future of sustainable agriculture, mainly because its application can significantly reduce the application of P and, consequently, reduce the exploitation of phosphorus and its reserves. In addition, new research must be conducted for the development of new technologies, prospecting new biological products, and improvement of management practices that allow for higher efficiency in the use of phosphorus in agriculture.","source":"Semantic Scholar","year":2023,"language":"en","subjects":null,"doi":"10.3390/agriculture13020462","url":"https://www.semanticscholar.org/paper/d25779d0cb661d34a1c5c8486ca9c4590f539565","pdf_url":"https://www.mdpi.com/2077-0472/13/2/462/pdf?version=1677143782","is_open_access":true,"citations":187,"published_at":"","score":72.61}],"total":3216492,"page":1,"page_size":20,"sources":["CrossRef","arXiv","DOAJ","Semantic Scholar"],"query":"Agriculture"}