Sustainable Approach to Weed Management: The Role of Precision Weed Management

Agronomy, Journal Year: 2022, Volume and Issue: 12(1), P. 118 - 118

Published: Jan. 4, 2022

In the last few decades, increase in world’s population has created a need to produce more food, generating, consequently, greater pressure on agricultural production. addition, problems related climate change, water scarcity or decreasing amounts of arable land have serious implications for farming sustainability. Weeds can affect food production systems, product quality and productivity due competition natural resources. On other hand, weeds also be considered valuable indicators biodiversity because their role providing ecosystem services. this sense, there is carry out an effective sustainable weed management process, integrating various control methods (i.e., cultural, mechanical chemical) harmonious way, without harming entire agrarian ecosystem. Thus, intensive mechanization herbicide use should avoided. Herbicide resistance some biotypes major concern today must tackled. recent development technologies promote higher levels production, lower amount inputs needed reduce environmental damage, invariably bringing us closer systems. paper, we review most common conventional non-conventional strategies from sustainability perspective, highlighting application precision automated associated with (PWM).

Language: Английский

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Ensuring Agricultural Sustainability through Remote Sensing in the Era of Agriculture 5.0

Applied Sciences, Journal Year: 2021, Volume and Issue: 11(13), P. 5911 - 5911

Published: June 25, 2021

Timely and reliable information about crop management, production, yield is considered of great utility by stakeholders (e.g., national international authorities, farmers, commercial units, etc.) to ensure food safety security. By 2050, according Food Agriculture Organization (FAO) estimates, around 70% more production agricultural products will be needed fulfil the demands world population. Likewise, meet Sustainable Development Goals (SDGs), especially second goal “zero hunger”, potential technologies like remote sensing (RS) need efficiently integrated into agriculture. The application RS indispensable today for a highly productive sustainable Therefore, present study draws general overview technology with special focus on principal platforms this technology, i.e., satellites remotely piloted aircrafts (RPAs), sensors used, in relation 5th industrial revolution. Nevertheless, since 1957, has found applications, through use satellite imagery, agriculture, which was later enriched incorporation further pushing boundaries proficiency upgrading capable higher spectral, spatial, temporal resolutions. More prominently, wireless sensor (WST) have streamlined real time acquisition programming respective measures. Improved algorithms can, not only add significant value data acquisition, but can also devise simulations yield, harvesting irrigation periods, metrological data, etc., making cloud computing. generates huge sets that necessitate artificial intelligence (AI) big extract useful products, thereby augmenting adeptness efficiency agriculture its sustainability. These made orientation current research towards estimation plant physiological traits rather than structural parameters possible. Futuristic approaches benefiting from these cutting-edge are discussed study. This helpful researchers, academics, young students aspiring play role achievement

Language: Английский

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UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions

Remote Sensing, Journal Year: 2021, Volume and Issue: 13(11), P. 2139 - 2139

Published: May 29, 2021

This paper reviewed a set of twenty-one original and innovative papers included in special issue on UAVs for vegetation monitoring, which proposed new methods techniques applied to diverse agricultural forestry scenarios. Three general categories were considered: (1) sensors indices used, (2) technological goals pursued, (3) agroforestry applications. Some investigations focused issues related UAV flight operations, spatial resolution requirements, computation data analytics, while others studied the ability characterizing relevant features (mainly canopy cover crop height) or detecting different plant/crop stressors, such as nutrient content/deficiencies, water needs, weeds, diseases. The goal was proposing UAV-based solutions better use resources more efficient production with economic environmental benefits.

Language: Английский

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State of Major Vegetation Indices in Precision Agriculture Studies Indexed in Web of Science: A Review

Agriculture, Journal Year: 2023, Volume and Issue: 13(3), P. 707 - 707

Published: March 18, 2023

Vegetation indices provide information for various precision-agriculture practices, by providing quantitative data about crop growth and health. To a concise up-to-date review of vegetation in precision agriculture, this study focused on the major with criterion their frequency scientific papers indexed Web Science Core Collection (WoSCC) since 2000. Based topic “precision agriculture” combined “vegetation index”, found that United States China are global leaders total research application indices, while analysis adjusted country area showed much more homogenous development agriculture. Among these studies, based multispectral sensor frequently adopted studies than low-cost alternatives RGB sensor. The normalized difference index (NDVI) was determined as dominant index, 2200 year With existence improved shortcomings NDVI, such enhanced (EVI) soil-adjusted (SAVI), recognized potential enabling superior results to those NDVI future studies.

Language: Английский

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Transformative Technologies in Digital Agriculture: Leveraging Internet of Things, Remote Sensing, and Artificial Intelligence for Smart Crop Management

Journal of Sensor and Actuator Networks, Journal Year: 2024, Volume and Issue: 13(4), P. 39 - 39

Published: July 8, 2024

This paper explores the potential of smart crop management based on incorporation tools like digital agriculture, which considers current technological applied in such as Internet Things (IoT), remote sensing, and artificial intelligence (AI), to improve production efficiency sustainability. is essential context varying climatic conditions that affect availability resources for agriculture. The integration IoT sensor networks can allow farmers obtain real-time data their crops, assessing key health factors, soil conditions, plant water status, presence pests, environmental among others, finally result data-based decision-making optimize irrigation, fertilization, pest control. Also, this be enhanced by incorporating drones unmanned aerial vehicles (UAVs), increase monitoring capabilities through comprehensive field surveys high-precision growth tracking. On other hand, big analytics AI are crucial analyzing extensive datasets uncover patterns trends provide valuable insights improving agricultural practices. highlights advancements applications management, addressing challenges barriers global adoption these new types technologies emphasizing need ongoing research collaboration achieve sustainable efficient production.

Language: Английский

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Potentials of phyto-fabricated nanoparticles as ecofriendly agents for photocatalytic degradation of toxic dyes and waste water treatment, risk assessment and probable mechanism

Journal of the Indian Chemical Society, Journal Year: 2021, Volume and Issue: 98(4), P. 100019 - 100019

Published: Feb. 27, 2021

Language: Английский

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A Bibliometric Review of the Use of Unmanned Aerial Vehicles in Precision Agriculture and Precision Viticulture for Sensing Applications

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(7), P. 1604 - 1604

Published: March 27, 2022

This review focuses on the use of unmanned aerial vehicles (UAVs) in precision agriculture, and specifically, viticulture (PV), is intended to present a bibliometric analysis their developments field. To this aim, research papers published last 15 years presented based Scopus database. The shows that researchers from United States, China, Italy Spain lead agriculture through UAV applications. In terms employing UAVs PV, are fast extending work followed by finally States. Additionally, paper provides comprehensive study popular journals for academicians submit work, accessible funding organizations, nations, institutions, authors conducting utilizing agriculture. Finally, emphasizes necessity using PV as well future possibilities.

Language: Английский

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Combating Salinity Through Natural Plant Extracts Based Biostimulants: A Review

Frontiers in Plant Science, Journal Year: 2022, Volume and Issue: 13

Published: May 20, 2022

Enhanced crop growth and yield are the recurring concerns in agricultural field, considering soaring world population climate change. Abiotic stresses one of major limiting factors for constraining production, several economically important horticultural crops, contribute to almost 70% gap. Salt stress is these unsought abiotic that has become a consistent problem agriculture over past few years. Salinity further induces ionic, osmotic, oxidative result various metabolic perturbations (including generation reactive oxygen, carbonyl, nitrogen species), reduction water potential (ψ w ), distorted membrane potential, injury, altered rates photosynthesis, leaf senescence, reduced assimilation, among others); thereby provoking drastic yield. One strategies mitigate salt use natural plant extracts (PEs) instead chemical fertilizers, thus water, soil, environmental pollution. PEs mainly consist seeds, roots, shoots, fruits, flowers, leaves concentrates employed either individually or mixtures. Since usually rich bioactive compounds (e.g., carotenoids, flavonoids, phenolics, etc.), therefore they effective regulating redox metabolism, promoting However, like stage, doses applied, application method, conditions may greatly influence their impact on plants. have been reported enhance tolerance plants primarily through modulation signaling signatures pathways Na + , ANNA4, GIPC, SOS3, SCaBP8 Ca 2+ sensors, regulation machinery [e.g., superoxide dismutase (SOD), catalase (CAT), ascorbate peroxidase (APX), non-specific (POX), glutathione (GPX), peroxiredoxin (Prx), ascorbic acid (AsA), (GSH), α-tocopherol, etc.]. The current study highlights role terms sources, methods preparation, mode action with subsequent physiological changes induced against salinity. an explicit remains nebulous, which might be explicated utilizing transcriptomics, proteomics, metabolomics, bioinformatics approaches. Being ecological economical, pave way ensuring food security this challenging era

Language: Английский

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A vision of precision agriculture: Balance between agricultural sustainability and environmental stewardship

Agronomy Journal, Journal Year: 2023, Volume and Issue: 116(3), P. 1126 - 1143

Published: June 7, 2023

Abstract Precision agriculture (PA) has become an increasingly popular approach to sustainable intensification in agriculture, with the intent of a balance between agricultural productivity and environmental stewardship. Sustainable aims increase while minimizing negative impacts. To assist this, PA been enabled through use advanced technologies such as Internet Things, global positioning system, geographic information systems, sensors, drones, machine learning. These have farmers practice more efficient precise farming techniques. This review provides vision explores potential contribute this goal. emphasizes various practices, irrigation fertilizer management, accurate pest disease livestock farming. is also explored for its role addressing climate change mitigation adaptation, proactively barriers challenges that may arise implementing PA. Therefore, future precision lies technological innovation, data analytics, policy interventions.

Language: Английский

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Complementary Use of Ground-Based Proximal Sensing and Airborne/Spaceborne Remote Sensing Techniques in Precision Agriculture: A Systematic Review

Agronomy, Journal Year: 2023, Volume and Issue: 13(7), P. 1942 - 1942

Published: July 22, 2023

As the global population continues to increase, projected reach an estimated 9.7 billion people by 2050, there will be a growing demand for food production and agricultural resources. Transition toward Agriculture 4.0 is expected enhance productivity through integration of advanced technologies, increase resource efficiency, ensure long-term security applying more sustainable farming practices, resilience climate change adaptation. By integrating technologies such as ground IoT sensing remote sensing, via both satellite Unmanned Aerial Vehicles (UAVs), exploiting data fusion analytics, can make transition efficient, productive, paradigm. The present work performs systematic literature review (SLR), identifying challenges associated with UAV, Satellite, Ground Sensing in their application agriculture, comparing them discussing complementary use facilitate Precision (PA) 4.0.

Language: Английский

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