Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My NCBI Filters

Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1954 2
1955 3
1956 3
1957 2
1958 3
1961 2
1962 1
1963 6
1964 4
1965 3
1966 8
1967 6
1968 1
1969 1
1970 5
1971 5
1972 2
1973 4
1974 2
1975 5
1976 7
1977 7
1978 11
1979 6
1980 9
1981 9
1982 12
1983 8
1984 18
1985 12
1986 8
1987 13
1988 13
1989 14
1990 16
1991 17
1992 15
1993 16
1994 16
1995 16
1996 14
1997 10
1998 14
1999 26
2000 13
2001 20
2002 28
2003 22
2004 25
2005 40
2006 35
2007 41
2008 48
2009 50
2010 55
2011 66
2012 88
2013 88
2014 130
2015 153
2016 221
2017 251
2018 336
2019 524
2020 773
2021 1067
2022 1465
2023 1695
2024 751

Text availability

Article attribute

Article type

Publication date

Search Results

7,525 results

Results by year

Filters applied: . Clear all
Page 1
Incidence Rates of Agricultural Machine-Related Injuries in South Korea.
Kim K, Kim H, Lee M, Jung W, Choi D. Kim K, et al. Int J Environ Res Public Health. 2022 Nov 24;19(23):15588. doi: 10.3390/ijerph192315588. Int J Environ Res Public Health. 2022. PMID: 36497661 Free PMC article.
Although agricultural machines are the leading cause of agricultural injury, there are few comparative studies on the injury risks associated with different types of agricultural machines. Therefore, we compared the injury rates and risks of var …
Although agricultural machines are the leading cause of agricultural injury, there are few comparative studies on the i …
Machine-supported decision-making to improve agricultural training participation and gender inclusivity.
Reeves NP, Ramadan A, Sal Y Rosas Celi VG, Medendorp JW, Ar-Rashid H, Krupnik TJ, Lutomia AN, Bello-Bravo JM, Pittendrigh BR. Reeves NP, et al. PLoS One. 2023 May 5;18(5):e0281428. doi: 10.1371/journal.pone.0281428. eCollection 2023. PLoS One. 2023. PMID: 37145990 Free PMC article.
Women comprise a significant portion of the agricultural workforce in developing countries but are often less likely to attend government sponsored training events. ...Simulations show that selecting the top 25 training events for total attendance and the top 25 training e …
Women comprise a significant portion of the agricultural workforce in developing countries but are often less likely to attend govern …
Agricultural machine-related deaths.
Etherton JR, Myers JR, Jensen RC, Russell JC, Braddee RW. Etherton JR, et al. Am J Public Health. 1991 Jun;81(6):766-8. doi: 10.2105/ajph.81.6.766. Am J Public Health. 1991. PMID: 2029052 Free PMC article.
Analysis of 1980-1985 death certificate data for the United States indicated that an average of 369 occupational deaths per year involved agricultural machinery as the external cause of death. Out of all agricultural machine-related deaths, tractors accounted …
Analysis of 1980-1985 death certificate data for the United States indicated that an average of 369 occupational deaths per year involved …
Machine-learning model to delineate sub-surface agricultural drainage from satellite imagery.
Redoloza FS, Williamson TN, Headman AO, Allred BJ. Redoloza FS, et al. J Environ Qual. 2023 Jul-Aug;52(4):907-921. doi: 10.1002/jeq2.20493. Epub 2023 May 26. J Environ Qual. 2023. PMID: 37170699
Consequently, a time series of tile-drain extent would inform one aspect of land management that complicates our ability to explain streamflow and water-quality as a function of climate variability or conservation management. We trained a UNet machine-learning model, a con …
Consequently, a time series of tile-drain extent would inform one aspect of land management that complicates our ability to explain streamfl …
Genomic resources in plant breeding for sustainable agriculture.
Thudi M, Palakurthi R, Schnable JC, Chitikineni A, Dreisigacker S, Mace E, Srivastava RK, Satyavathi CT, Odeny D, Tiwari VK, Lam HM, Hong YB, Singh VK, Li G, Xu Y, Chen X, Kaila S, Nguyen H, Sivasankar S, Jackson SA, Close TJ, Shubo W, Varshney RK. Thudi M, et al. J Plant Physiol. 2021 Feb;257:153351. doi: 10.1016/j.jplph.2020.153351. Epub 2020 Dec 17. J Plant Physiol. 2021. PMID: 33412425 Free PMC article. Review.
Climate change during the last 40 years has had a serious impact on agriculture and threatens global food and nutritional security. From over half a million plant species, cereals and legumes are the most important for food and nutritional security. ...The overall goal is …
Climate change during the last 40 years has had a serious impact on agriculture and threatens global food and nutritional security. F …
Global Patterns of Agricultural Machine and Equipment Injuries- A Systematic Literature Review.
Raza MMS, Li S, Issa SF. Raza MMS, et al. J Agromedicine. 2024 Apr;29(2):214-234. doi: 10.1080/1059924X.2024.2304704. Epub 2024 Feb 2. J Agromedicine. 2024. PMID: 38305358
OBJECTIVES: Agriculture is the one of the hazardous industries in the world. Though there is significant investment in agricultural safety, machine injuries continue to be the leading cause of agriculture injuries worldwide. The objective of this study …
OBJECTIVES: Agriculture is the one of the hazardous industries in the world. Though there is significant investment in agricultura …
The "water machine" of Bengal.
Mukherji A. Mukherji A. Science. 2022 Sep 16;377(6612):1258-1259. doi: 10.1126/science.ade0393. Epub 2022 Sep 15. Science. 2022. PMID: 36108015
Machine Learning-Assisted Approaches in Modernized Plant Breeding Programs.
Yoosefzadeh Najafabadi M, Hesami M, Eskandari M. Yoosefzadeh Najafabadi M, et al. Genes (Basel). 2023 Mar 23;14(4):777. doi: 10.3390/genes14040777. Genes (Basel). 2023. PMID: 37107535 Free PMC article. Review.
Therefore, plant breeders have relied on high-performance computing, bioinformatics tools, and artificial intelligence (AI), such as machine-learning (ML) methods, to efficiently analyze this vast amount of complex data. ...The use of ML algorithms in plant breeding will e …
Therefore, plant breeders have relied on high-performance computing, bioinformatics tools, and artificial intelligence (AI), such as mach …
Modeling flood susceptibility zones using hybrid machine learning models of an agricultural dominant landscape of India.
Saini SK, Mahato S, Pandey DN, Joshi PK. Saini SK, et al. Environ Sci Pollut Res Int. 2023 Sep;30(43):97463-97485. doi: 10.1007/s11356-023-29049-9. Epub 2023 Aug 18. Environ Sci Pollut Res Int. 2023. PMID: 37594709
In order to implement a flood management plan for the Balrampur district, an agricultural dominant landscape of India, and strengthen its resilience, flood susceptibility modeling and mapping are carried out. In the present study, three hybrid machine learning (ML) …
In order to implement a flood management plan for the Balrampur district, an agricultural dominant landscape of India, and strengthen …
Agricultural Irrigation Recommendation and Alert (AIRA) system using optimization and machine learning in Hadoop for sustainable agriculture.
Veerachamy R, Ramar R. Veerachamy R, et al. Environ Sci Pollut Res Int. 2022 Mar;29(14):19955-19974. doi: 10.1007/s11356-021-13248-3. Epub 2021 Mar 31. Environ Sci Pollut Res Int. 2022. PMID: 33788091
Internet of Things (IoT) in the field of agriculture promises to continuously provide global access to the farming information. The smart agriculture system either gives alert regarding the farm or it recommends for best agriculture field. ...
Internet of Things (IoT) in the field of agriculture promises to continuously provide global access to the farming information. The s …
7,525 results