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Journal articles on the topic 'On-farm and off-farm agronomy'

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1

Utobo, E.B, Okporie E.O., Oselebe H.O., Ekwu L.G., Ogah E.O., and Nwokwu G.N. "EVALUATION OF ELEVEN VARIETIES OF MAIZE (Zea mayz L.) IN ABAKALIKI AGRICULTURAL AREA, SOUTHEASTERN NIGERIA." Continental J. Agricultural Science 4 (August 7, 2010): 42–47. https://doi.org/10.5281/zenodo.839661.

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Eleven maize varieties were evaluated for their on-farm and off-farm agronomic performance in the Teaching and Research Farm of the Department of Crop Production and Landscape Management, Ebonyi State University, Abakaliki, which falls within the humid forest zone of southeastern Nigeria during the 2008 growing season. The eleven varieties comprised six China varieties (26-517/618, Jinghai 5, Normal corn CAU 541, High oil corn CAU 4515, ND160 China Agric University I and ND160 China Agric University II), three IITA/Nigeria hybrid varieties (Oba 98, Obasuper I and Obasuper II), one CRI Ghana va
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2

Patterson, K. J. "OFF-FARM EMPLOYMENT OF FARM OPERATORS: 1971 CENSUS." Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie 19, no. 2 (2008): 90–95. http://dx.doi.org/10.1111/j.1744-7976.1971.tb01155.x.

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3

Xu, Caihua, Qian Wang, Shah Fahad, Masaru Kagatsume, and Jin Yu. "Impact of Off-Farm Employment on Farmland Transfer: Insight on the Mediating Role of Agricultural Production Service Outsourcing." Agriculture 12, no. 10 (2022): 1617. http://dx.doi.org/10.3390/agriculture12101617.

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Understanding the effects of the off-farm employment of rural laborers on agricultural land use is essential to promote farmland transfer and enhance rural development in China. This study aims to investigate the direct impact of off-farm employment on farmland transfer and the mediating role of agricultural production services outsourcing (APSO) by using the Probit and Tobit model approaches. This study uses field survey data of 960 rural households in 12 counties of the four main grain producing provinces of China. Findings of this study show that off-farm employment has a significant positi
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4

Kwon, Chul-Woo, Peter F. Orazem, and Daniel M. Otto. "Off-farm labor supply responses to permanent and transitory farm income." Agricultural Economics 34, no. 1 (2006): 59–67. http://dx.doi.org/10.1111/j.1574-0862.2006.00103.x.

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5

Beyene, A. D. "Determinants of off-farm participation decision of farm households in Ethiopia." Agrekon 47, no. 1 (2008): 140–61. http://dx.doi.org/10.1080/03031853.2008.9523794.

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6

Kimhi, Ayal. "Off-Farm Work Participation of Israeli Farm Couples: the Importance of Farm Work Participation Status." Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie 44, no. 4 (1996): 481–90. http://dx.doi.org/10.1111/j.1744-7976.1996.tb04442.x.

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7

Corsi, Alessandro, Silvia Novelli, and Giacomo Pettenati. "Producer and farm characteristics, type of product, location: Determinants of on-farm and off-farm direct sales by farmers." Agribusiness 34, no. 3 (2018): 631–49. http://dx.doi.org/10.1002/agr.21548.

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8

Sabasi, Darlington, C. Richard Shumway, and Gregory M. Astill. "Off‐farm work and technical efficiency on U.S. dairies." Agricultural Economics 50, no. 4 (2019): 379–93. http://dx.doi.org/10.1111/agec.12497.

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9

Lien, Gudbrand, Subal C. Kumbhakar, and J. Brian Hardaker. "Determinants of off-farm work and its effects on farm performance: the case of Norwegian grain farmers." Agricultural Economics 41, no. 6 (2010): 577–86. http://dx.doi.org/10.1111/j.1574-0862.2010.00473.x.

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10

Bjørnsen, Hild-Marte, and Erik Biørn. "Interrelated labor decisions of farm couples: a censored response analysis of off-farm work." Agricultural Economics 41, no. 6 (2010): 595–610. http://dx.doi.org/10.1111/j.1574-0862.2010.00475.x.

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11

Azarov, Azamat, Zbynek Polesny, Dietrich Darr, Maksim Kulikov, Vladimir Verner, and Roy C. Sidle. "Classification of Mountain Silvopastoral Farming Systems in Walnut Forests of Kyrgyzstan: Determining Opportunities for Sustainable Livelihoods." Agriculture 12, no. 12 (2022): 2004. http://dx.doi.org/10.3390/agriculture12122004.

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Kyrgyz walnut-fruit forests are unique ecosystems inhabited by silvopastoral farm households that depend on forest resources for their livelihoods. Illegal logging, excessive collection of non-timber forest products (NTFPs), and overgrazing of forest pastures negatively affect forest regeneration and biodiversity, ultimately impacting sustainable livelihoods in the region. Understanding farm heterogeneity is critical to identify targeted interventions that have the potential to improve livelihood sustainability for local populations. This study identifies and elucidates the typology of farms i
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12

El-Osta, Hisham S., Ashok K. Mishra, and Mitchell J. Morehart. "Off-Farm Labor Participation Decisions of Married Farm Couples and the Role of Government Payments." Review of Agricultural Economics 30, no. 2 (2008): 311–32. http://dx.doi.org/10.1111/j.1467-9353.2008.00406.x.

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13

Coyle, Barry T., and Ramon E. Lopez. "A COMMENT ON BOLLMAN'S “OFF-FARM WORK BY FARMERS:…”." Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie 29, no. 1 (2008): 93–99. http://dx.doi.org/10.1111/j.1744-7976.1981.tb02157.x.

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14

BONGERS, GHISLAINE, LUUK FLESKENS, GERRIE VAN DE VEN, DAVID MUKASA, KEN GILLER, and PIET VAN ASTEN. "DIVERSITY IN SMALLHOLDER FARMS GROWING COFFEE AND THEIR USE OF RECOMMENDED COFFEE MANAGEMENT PRACTICES IN UGANDA." Experimental Agriculture 51, no. 4 (2015): 594–614. http://dx.doi.org/10.1017/s0014479714000490.

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SUMMARYMany smallholder farm systems in Uganda produce coffee as an important cash crop. Yet coffee yields are poor. To increase farmers’ production, a range of agronomic practices have been recommended by national and international agencies. Yet the adoption potential of recommendations differs between farm systems. To understand the differences in adoption potential of recommended coffee management practices in Uganda, we provide a typology of farm systems with coffee, assess the diversity between the farm types, and evaluate the current use of existing management recommendations for each fa
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15

Mazid, Ahmed, Kamil Shideed, and Ahmed Amri. "Assessment of on-farm conservation of dryland agrobiodiversity and its impact on rural livelihoods in the Fertile Crescent." Renewable Agriculture and Food Systems 29, no. 4 (2013): 366–77. http://dx.doi.org/10.1017/s1742170513000240.

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AbstractThe Fertile Crescent encompasses a mega-center of diversity of crops and livestock of global importance. The International Center for Agricultural Research in the Dry Areas (ICARDA) coordinated a 5-year regional project funded by the Global Environment Facility to promotein situconservation of dryland agrobiodiversity in Jordan, Lebanon, the Palestinian Authority and Syria. The project focused on conserving landraces and wild relatives ofAllium, Vicia, Trifolium, MedicagoandLathyrusspp. and barley, wheat, lentil and dryland fruit trees (olive, prune, pear, pistachio, almond, cherry and
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16

Skaggs, R. K., and Z. Samani. "Farm size, irrigation practices, and on-farm irrigation efficiency." Irrigation and Drainage 54, no. 1 (2005): 43–57. http://dx.doi.org/10.1002/ird.148.

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17

Wang, Xiumei, Yongjian Huang, Yingying Zhao, and Jingxuan Feng. "Digital Revolution and Employment Choice of Rural Labor Force: Evidence from the Perspective of Digital Skills." Agriculture 13, no. 6 (2023): 1260. http://dx.doi.org/10.3390/agriculture13061260.

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The practical implementation of the employment promotion effect of the digital economy is closely linked to rural laborers’ digital skills (DS). Therefore, this study uses the Mprobit model to empirically test the impact of DS on rural labor employment choices. The results show that: (1) the acquisition of DS by the rural labor force significantly increases the rate of off-farm employment and entrepreneurship but has no significant effect on farm employment, with work skills having the most significant positive impact on the rural labor force off-farm employment and online business skills havi
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18

Akhtar, Shoaib, Azhar Abbas, Muhammad Amjed Iqbal, et al. "What Determines the Uptake of Multiple Tools to Mitigate Agricultural Risks among Hybrid Maize Growers in Pakistan? Findings from Field-Level Data." Agriculture 11, no. 7 (2021): 578. http://dx.doi.org/10.3390/agriculture11070578.

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Arable farming is an intrinsically risky enterprise. Therefore, managing risks and uncertainties in agriculture is very important as it affects all sectors of the economy of a developing country like Pakistan. To do so, a whole suite of options is available to the farming community to safeguard against any type of risk. However, farmers’ behavior of the concurrent adoption of multiple risk management tools is largely ignored in previous studies and has formed the rationale for this research. Thus, the current study is intended to investigate farmers’ decisions of adopting risk management strat
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19

Olfert, M. Rose. "Off-farm Labour Supply with Productivity Increases, Peak Period Production and Farm Structure Impacts." Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie 41, no. 4 (1993): 491–501. http://dx.doi.org/10.1111/j.1744-7976.1993.tb03773.x.

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20

Maltais-Landry, Gabriel, Zoran Nesic, Nicholas Grant, et al. "Quantifying trade-offs among on-farm and off-farm fertility sources to make vegetable organic farming systems more sustainable." Agriculture, Ecosystems & Environment 286 (December 2019): 106657. http://dx.doi.org/10.1016/j.agee.2019.106657.

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21

Feng, S. "Land rental, off-farm employment and technical efficiency of farm households in Jiangxi Province, China." NJAS - Wageningen Journal of Life Sciences 55, no. 4 (2008): 363–78. http://dx.doi.org/10.1016/s1573-5214(08)80026-7.

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22

Duran, Nancy. "Food on the Farm: One Kansas Farm Woman's Cooking." Journal of Agricultural & Food Information 8, no. 3 (2007): 65–76. http://dx.doi.org/10.1300/j108v08n03_06.

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23

Srinivasan, MS, D. Bewsell, C. Jongmans, and G. Elley. "Just-in-case to justified irrigation: Applying co-innovation principles to irrigation water management." Outlook on Agriculture 46, no. 2 (2017): 138–45. http://dx.doi.org/10.1177/0030727017708491.

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A pilot study, using a co-innovation approach in identify opportunities to improve irrigation management, is underway in five farms in an irrigation scheme in New Zealand. Through a process of co-learning, a group of on-farm and off-farm stakeholders defined the problem of on-farm water use efficiency and co-developed solutions to enhance farmers’ ability, desire and capacity to adopt improved irrigation practices. To enable informed decision-making, participants were supplied with current soil water demand (measured on farm) and 2- to 15-day rainfall forecasts as a daily email update. We cond
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24

Edwards, Peter, Harvey Demaine, Nick Innes-Taylor, and Danai Turongruang. "Sustainable Aquaculture for Small-scale Farmers: Need for a Balanced Model." Outlook on Agriculture 25, no. 1 (1996): 19–26. http://dx.doi.org/10.1177/003072709602500105.

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Relatively few small-scale farmers culture fish, even in Asia, as the gap between the traditional supply — wild fish — and the demand has begun to widen only relatively recently. Rapid human population growth, overfishing and environmental degradation are providing a stimulus for the growth of aquaculture but sustainable systems of production remain to be developed for most areas. A balanced model involving both on-farm and off-farm resources is required to promote aquaculture so that it can fulfil its potential and contribute significantly to people's welfare. Rising expectations and the poor
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25

Macedo, Ignacio, Cameron M. Pittelkow, José A. Terra, Jesús Castillo, and Alvaro Roel. "The power of on-farm data for improved agronomy." Global Food Security 40 (March 2024): 100752. http://dx.doi.org/10.1016/j.gfs.2024.100752.

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26

Bullock, David S., Maria Boerngen, Haiying Tao, et al. "The Data‐Intensive Farm Management Project: Changing Agronomic Research Through On‐Farm Precision Experimentation." Agronomy Journal 111, no. 6 (2019): 2736–46. http://dx.doi.org/10.2134/agronj2019.03.0165.

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27

Weersink, Alfons. "Off-farm Labor Decisions by Ontario Swine Producers." Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie 40, no. 2 (1992): 235–51. http://dx.doi.org/10.1111/j.1744-7976.1992.tb03692.x.

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28

Howard, Wayne, and Michael Swidinsky. "Estimating the Off-farm Labor Supply in Canada." Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie 48, no. 1 (2000): 1–14. http://dx.doi.org/10.1111/j.1744-7976.2000.tb00261.x.

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29

Öhlmér, Bo. "On‐farm computers for farm management in Sweden: potentials and problems." Agricultural Economics 5, no. 3 (1991): 279–86. http://dx.doi.org/10.1111/j.1574-0862.1991.tb00158.x.

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30

Kumar, Ashutosh, Suresh Kumar, Amar Singh Gaur, et al. "Effect of Physico-Chemical Properties of Soil under Various Depths on Different Cropping Systems in Ayodhya, India." International Journal of Plant & Soil Science 35, no. 18 (2023): 1484–90. http://dx.doi.org/10.9734/ijpss/2023/v35i183416.

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A research work conducted during 2018-19 at Agronomy farm of Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya (U.P.) to evaluate the fertility status and effect of different cropping systems on soil physico-chemical characteristics and their correlation. The 300 representative soil samples with 4 depths viz. 0-15, 15-30, 30-60 and 60-90 cm soil samples were taken with manually driven post hole auger and processed for soil analysis from different plots of Agronomy farm. Results revealed that physico-chemical properties viz. particle Density, bulk density pH, EC
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31

Asafor, Henry Chotangui. "On-farm evaluation of the yield and nutrient content of high-altitude-profit-oriented leafy vegetable fields in Central Japan." International Journal of Agronomy and Agricultural Research (IJAAR) 10, no. 5 (2017): 26–34. https://doi.org/10.5281/zenodo.3235224.

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<strong>&ldquo;&rdquo;</strong> IJAAR welcome all of you to submit your research paper for publication in the field of <strong><em>Agriculture, Agronomy, Horticulture</em></strong> etc. Please submit your manuscripts via <strong><em>Online submission panel</em></strong> <strong><em>.</em>&ldquo;&rdquo;</strong> &nbsp; High altitude leafy vegetable cultivation in profit-oriented fields in Japan are abundantly fertilized and characterized by plastic mulching. Our goal was to evaluate the close link between soil nutrient amendment, yield and nutrient uptake of three leafy vegetable production sys
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32

Ahodo, K., D. Oglethorpe, H. L. Hicks, and R. P. Freckleton. "Estimating the farm-level economic costs of spring cropping to manage Alopecurus myosuroides (black-grass) in UK agriculture." Journal of Agricultural Science 157, no. 04 (2019): 318–32. http://dx.doi.org/10.1017/s0021859619000650.

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AbstractCrop rotation is a non-chemical strategy adopted by farmers to manage weeds. However, not all crops in a rotation are equally profitable. Thus, there is potentially a trade-off between the costs and benefits of this strategy. The objective of the current study is to quantify this trade-off for the rotational control of an important weed (Alopecurus myosuroides). Data from 745 farms were used to parameterize a farm-level mixed-integer goal-programming model of the economics of spring cropping for weed control in UK agriculture. On average, the short-term loss of profit from spring cropp
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33

Akhtar, Shoaib, Azhar Abbas, Hazem S. Kassem, Salim Bagadeem, Raza Ullah, and Bader Alhafi Alotaibi. "Sustainable Crop Production, the Concurrent Adoption of Contract Farming, and Managing Risks through Income Diversification." Agronomy 11, no. 5 (2021): 973. http://dx.doi.org/10.3390/agronomy11050973.

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This paper is aimed at evaluating the factors affecting the concurrent adoption of two risk coping strategies among hybrid maize farmers, namely income diversification supplemented with off-farm work and contract farming in the wake of changing climatic conditions. Climatic changes and food insecurity at the national level have emerged as key risk elements for hybrid maize production due to varying economic conditions. The present paper addresses these risks by examining various sources of risks faced by hybrid maize farmers and develops ideas to tackle these risks. Bivariate and multinomial p
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Shen, Xue, Quanyu Yang, Ting Qiu, and Rongjun Ao. "Off-Farm Employment, Outsourced Machinery Services, and Farmers’ Ratoon Rice Production Behavior: Evidence from Rice Farmers in Central China." Agriculture 13, no. 10 (2023): 1881. http://dx.doi.org/10.3390/agriculture13101881.

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Promoting ratoon rice is a critical measure for ensuring food security in China. Understanding the mechanism underlying farmers’ decision-making involving ratoon rice production may contribute to the design and implementation of extension policies. This study examined the impact of off-farm employment and outsourced machinery services on farmers’ ratoon rice production behavior. We used a representative household survey of 1752 rice farmers in Hubei province in central China and a multinomial endogenous treatment effect model to address potential self-selection biases from both observable and
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35

Wambua, Daniel M., Bernard M. Gichimu, and Samuel N. Ndirangu. "Smallholder Coffee Productivity as Affected by Socioeconomic Factors and Technology Adoption." International Journal of Agronomy 2021 (February 27, 2021): 1–8. http://dx.doi.org/10.1155/2021/8852371.

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Despite the increase in area under coffee in Kenya in the last decade, productivity has been on the decline. Numerous production technologies have been developed through on-station research but there has been limited on-farm research to assess the impact of these technologies at the farm level. On the other hand, smallholder farmers are endowed differently and this would positively or negatively affect the adoption of recommended technologies and hence coffee productivity. This study was carried out to evaluate the effects of socioeconomic factors and technology adoption on smallholder coffee
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36

Khanal, Aditya R., and Ashok K. Mishra. "Agritourism and off-farm work: survival strategies for small farms." Agricultural Economics 45, S1 (2014): 65–76. http://dx.doi.org/10.1111/agec.12130.

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37

Yegbemey, Rosaine N., Evince O. Yegbemey, and Jacob A. Yabi. "Sustainability analysis of observed climate change adaptation strategies in maize farming in Benin, West Africa." Outlook on Agriculture 46, no. 1 (2017): 20–27. http://dx.doi.org/10.1177/0030727016689638.

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The aim of this article was to analyse possible relationships between observed climate change adaptations as developed by farmers and the sustainability level of their production systems. The sustainability levels were measured through a participatory indicators-based approach. A tri-variate Tobit regression model including the observed climate change adaptations as explanatory variables was specified to analyse the main drivers of the measured sustainability levels. Data collection was conducted by survey methods on 336 maize producers randomly sampled and interviewed based on a questionnaire
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38

LI, Shao-ping, Yong-qing DONG, Lin-xiu ZHANG, and Cheng-fang LIU. "Off-farm employment and poverty alleviation in rural China." Journal of Integrative Agriculture 20, no. 4 (2021): 943–52. http://dx.doi.org/10.1016/s2095-3119(21)63616-x.

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39

Thurmeier, Margie. "The Determinants of Off-Farm Employment of Saskatchewan Farmers." Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie 29, no. 3 (2008): 339–48. http://dx.doi.org/10.1111/j.1744-7976.1981.tb02088.x.

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40

Herbstritt, Stephanie M., Siobhan L. Fathel, Brett Reinford, and Tom L. Richard. "Waste to Worth: A Case Study of the Biogas Circular Economy in Pennsylvania." Journal of the ASABE 66, no. 3 (2023): 771–87. http://dx.doi.org/10.13031/ja.14889.

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Highlights The case study farm produces 66% of its biogas from off-farm food waste sources, highlighting the potential to increase the circularity of food and agricultural systems when farms capture and recycle external waste sources. The farm can meet 78% of its crop nitrogen needs from waste products recycled in digestion, assuming a 37% nitrogen use efficiency (NUE). However, phosphorus in the imported food waste creates an excess relative to crop needs. The farm creates an excess of energy that is returned to the electric grid, providing broader off-farm benefits through a circular economy
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41

Sullivan, Matthew, Tara VanToai, Norman Fausey, James Beuerlein, Robert Parkinson, and Alfred Soboyejo. "Evaluating On‐Farm Flooding Impacts on Soybean." Crop Science 41, no. 1 (2001): 93–100. http://dx.doi.org/10.2135/cropsci2001.41193x.

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42

Fujisaka, Sam. "A Case of Farmer Adaptation and Adoption of Contour Hedgerows for Soil Conservation." Experimental Agriculture 29, no. 1 (1993): 97–105. http://dx.doi.org/10.1017/s0014479700020445.

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SummaryAfter farmer-to-farmer training, farmers at an upland research site in the Philippines adapted and adopted contour hedgerows over a period of four years. They developed hedgerow establishment methods that required less labour, eliminated grasses that were too competitive with crops, stopped planting trees that were initially intended to produce green manures, and planted species that might provide direct cash returns. The different systems they used controlled soil erosion equally and effectively, although grazing of hedgerows by neighbours’ cattle was a problem. The farmers who learned
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43

A.M. PATEL, K.M. PATEL, and P.K. PATEL. "Sustainability of farm and farmers through integrated farming system approach." Indian Journal of Agronomy 64, no. 3 (2001): 320–23. http://dx.doi.org/10.59797/ija.v64i3.5277.

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An experiment of integrated farming system (IFS) model comprising of 1.0 ha area was conducted during the rainy (kharif) seasons of 201011 to 201617 at the Centre for Research on Integrated Farming Systems, Sardarkrushinagar, Dantiwada Agricultural University, Sardarkrushinagar of Gujarat for validation of an IFS model. The system is 4 cropping system on 0.70 ha of 1.00 ha farm, viz. castor (Ricinus communis L.) + greengram (Vigna radiate (L.) R. Wilczek] (0.32 ha); groundnut (Arachis hypogaea L.)wheat (Triticum aestivum L.)-multicut fodder pearl millet [Pennisetum glaucum (L.) R. Br.] (0.08 h
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44

El Titi, Adel. "Integrated Farming: an Ecological Farming Approach in European Agriculture." Outlook on Agriculture 21, no. 1 (1992): 33–39. http://dx.doi.org/10.1177/003072709202100106.

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European agriculture operates in challenging times as it faces uncertainties arising from economic, political, environmental and other pressures. In the arable sector, there are serious problems associated with overproduction and declining farm incomes as well as concerns about species decline and the pollution of ground and surface waters by agrochemicals. Such issues are forcing a fundamental re-orientation in agriculture. An Integrated Farming System (IFS) is identified as a most promising approach. It integrates natural regulatory components into farming activities with the aim of replacin
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45

Kimhi, Ayal. "Farmers' time allocation between farm work and off‐farm work and the importance of unobserved group effects: evidence from Israeli cooperatives." Agricultural Economics 14, no. 2 (1996): 135–42. http://dx.doi.org/10.1111/j.1574-0862.1996.tb00409.x.

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46

Martin, Marshall A., Marvin M. Schreiber, Jean Rosscup Riepe, and J. Robert Bahr. "The Economics of Alternative Tillage Systems, Crop Rotations, and Herbicide use on Three Representative East-Central Corn Belt Farms." Weed Science 39, no. 2 (1991): 299–307. http://dx.doi.org/10.1017/s0043174500071642.

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A linear programming model was used to determine which crop rotations and weed management systems result in the highest net farm income for each of three farm sizes (120, 240, and 480 hectares) under alternative tillage systems. Test plot data for the years 1981 through 1988 from the Purdue University Agronomy Farm, which has highly productive, well-drained soils, were analyzed. Net incomes for no-till tillage systems on all farms in the model were consistently and significantly lower than incomes for moldboard and chisel plow tillage systems due to slightly lower yields and substantially high
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47

Kool, Hanna, Jens A. Andersson, and Ken E. Giller. "Reproducibility and external validity of on-farm experimental research in Africa." Experimental Agriculture 56, no. 4 (2020): 587–607. http://dx.doi.org/10.1017/s0014479720000174.

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AbstractAgronomists have increasingly conducted experiments on-farm, in an attempt to increase the wider applicability (external validity) of their experimental findings and their relevance for agricultural development. This review assesses the way in which on-farm experimental studies address the scope or generalisability of their findings when based on a limited number of farms. A central question is how on-farm studies define the environment or research population in which the on-farm trial findings are valid, or are valuable for. Such an assessment is, of course, conditional on the (intern
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48

Kim, Jihun, Il Do Ha, Sookhee Kwon, Ikhoon Jang, and Myung Hwan Na. "A Smart Farm DNN Survival Model Considering Tomato Farm Effect." Agriculture 13, no. 9 (2023): 1782. http://dx.doi.org/10.3390/agriculture13091782.

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Recently, smart farming research based on artificial intelligence (AI) has been widely applied in the field of agriculture to improve crop cultivation and management. Predicting the harvest time (time-to-harvest) of crops is important in smart farming to solve problems such as planning the production schedule of crops and optimizing the yield and quality. This helps farmers plan their labor and resources more efficiently. In this paper, our concern is to predict the time-to-harvest (i.e., survival time) of tomatoes on a smart farm. For this, it is first necessary to develop a deep learning mod
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49

Taylor, Donald C. "On-Farm Sustainable Agriculture Research." Journal of Sustainable Agriculture 1, no. 2 (1991): 43–87. http://dx.doi.org/10.1300/j064v01n02_05.

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Roques, Susie E., Daniel R. Kindred, Pete Berry, and Jonathan Helliwell. "Successful approaches for on-farm experimentation." Field Crops Research 287 (October 2022): 108651. http://dx.doi.org/10.1016/j.fcr.2022.108651.

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