Review of Papers on Farm Work Simplification

1946 ◽  
Vol 28 (1) ◽  
pp. 337
Author(s):  
S. A. Engene
Keyword(s):  
1987 ◽  
Vol 2 (3) ◽  
pp. 107-113 ◽  
Author(s):  
Brian P. Baker ◽  
Douglas B. Smith

AbstractA survey of organic farmers in New York State identified problems in need of university research. Weed management was the most frequently mentioned problem by far, identified as significant by two-thirds of the organic farmers. Only a few other problems were listed as significant, including insufficient time for farm work, lack of markets, low prices, and lack of appropriate tools. These were cited by more than a third of the farmers. Drought, insect management, and a lack of a dependable supply of labor were cited by about one-third of the respondents. The survey also examined organic farmers' information sources. They do not use conventional sources of agricultural information, such as the extension service and conventional agricultural media, as much as books, magazines, and newsletters on organic f arming, other organic f armers, and on-farm experiments. Many respondents noted that local extension agents did not know very much about non-chemical solutions to organic production problems. They considered University Extension to be accessible, but not very useful in solving problems specific to organic farming, and had many suggestions to improve Land Grant research in organic agriculture.


2010 ◽  
Vol 41 (6) ◽  
pp. 577-586 ◽  
Author(s):  
Gudbrand Lien ◽  
Subal C. Kumbhakar ◽  
J. Brian Hardaker

1999 ◽  
Vol 69 (2) ◽  
pp. 305-312
Author(s):  
E.M. Nengomasha ◽  
R.A. Pearson ◽  
T. Smith

AbstractThe work performance of two teams of four donkeys (heavy, 680 kg and light, 460 kg) and one pair of Jersey crossbred oxen (646 kg) was compared when they ploughed 4 hi day on four types of soil (clay, redsoil, sandy soil and sandy clay) using two types of plough, a conventional ox plough (40 kg) and a lighter prototype, the ‘Walco’ plough (32 kg) on an experimental farm. Work parameters were also measured with farmers’ cattle and donkey teams ploughing on f arms in Matobo and Nkayi districts. Working speed, power and effective field capacity (ETC) were higher for the ox-team (1·03 m/s, 920 W and 14·5 h/ha for the conventional plough and 0·99 m/s, 745 W and 13·9 h/hafor the Walco plough) and the heavier donkey team (0·87 m/s, 689 W and 14·2 h/hafor the conventional plough and 0·87 m/s, 787 W and 17·3 h/hafor the Walco plough) than for the lighter donkey team (0·59 m/s, 461 W and 22·1 h/hafor the conventional plough and 0·64 m/s, 445 W and 23·4 h/hafor the Walco plough). Expressed as a proportion of live weight or metabolic live weight there were no significant differences in draught forces exerted between teams but power output per unit live weight was greater in the ox-team than in the light donkey team but similar to that in the heavy donkey team. The Walco plough required a lower force (742 N) to operate than the conventional plough (816 N) but apart from this did not have any marked advantages over the conventional plough. On-farm, team sizes of donkeys varied from three to seven animals (team weight 340 kg to 1007 kg) and cattle team sizes from two to four animals (team weights 558 to 1709 kg). Regardless of team number, the heavier teams tended to out-perform the lighter teams (speed range 0·63 to 1·08 m/s, power 395 to 1136 W, EFC 9·1 to 25 h/ha)) with one exception, a well trained team of two oxen (team weight 879 kg, speed 1·02 m/s, power 775 W, EFC 9·1 h/ha). Donkeys tended to plough at a slower pace than oxen, with a lower power output, although when weight differences between teams were equalized (four heavy donkeys compared with two oxen), then there was little to chose between the species. Results suggested that teams of three or more donkeys can effectively be used for ploughing on the soils tested. The results highlighted the importance that team live weight and training/experience have in determining work performance.


2001 ◽  
Vol 29 (3) ◽  
pp. 505-526 ◽  
Author(s):  
Linxiu Zhang ◽  
Scott Rozelle ◽  
Jikun Huang
Keyword(s):  

Agronomy ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 819
Author(s):  
M. Teresa Peña-Fleitas ◽  
Marisa Gallardo ◽  
Francisco M. Padilla ◽  
Alejandra Rodríguez ◽  
Rodney B. Thompson

A rapid analysis ion-selective electrode (ISE) system for measurement of [NO3−] in nutrient solution (NS), soil solution (SS) and petiole sap (PS) was evaluated. For each material, there were 797–2010 samples from 5 to 6 different crops, and from 2 to 4 different species. Accuracy was evaluated by linear regression (LR) with laboratory analysis (automated colorimetry, Cd reduction), and by relative error (RE), the average percentage deviation from laboratory analysis. For NS, the LR was y = 0.982x + 0.76, R² = 0.962 (n = 2010), for combined data from 5 crops (3 pepper, 2 cucumber). For SS, the LR was y = 0.975x + 1.13, R² = 0.965 (n = 797), for combined data from 5 crops (3 pepper, 2 cucumber). For undiluted PS, the LR relationship was y = 0.742x + 168.02, R² = 0.892 (n = 1425), for combined data from 6 crops (3 pepper, 2 cucumber, 1 melon). The underestimation was most pronounced at [NO3−] of >1500 mg NO3−–N L−1. For diluted petiole sap (dilution by 10 for pepper and melon, 5 for other species), the LR relationship was y = 1.010x + 99.26, R² = 0.927 (n = 1182), for combined data from 6 crops (2 pepper, 2 cucumber, 1 melon, 1 tomato). RE values for all measurements in composite datasets were 14%, 22%, 24% and 25% for NS, SS, undiluted PS and diluted PS respectively, and they were lower in concentrations most likely to be measured in practical on-farm work. The ISE system measured [NO3−] in NS, SS and diluted PS with sufficient accuracy to effectively guide on-farm decision making.


Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3906
Author(s):  
Yoshiki Hashimoto ◽  
Daisaku Arita ◽  
Atsushi Shimada ◽  
Takashi Yoshinaga ◽  
Takashi Okayasu ◽  
...  

This paper proposes a new approach to visualizing spatial variation of plant status in a tomato greenhouse based on farm work information operated by laborers. Farm work information consists of a farm laborer’s position and action. A farm laborer’s position is estimated based on radio wave strength measured by using a smartphone carried by the farm laborer and Bluetooth beacons placed in the greenhouse. A farm laborer’s action is recognized based on motion data measured by using smartwatches worn on both wrists of the farm laborer. As experiment, harvesting information operated by one farm laborer in a part of a tomato greenhouse is obtained, and the spatial distribution of yields in the experimental field, called a harvesting map, is visualized. The mean absolute error of the number of harvested tomatoes in each small section of the experimental field is 0.35. An interview with the farm manager shows that the harvesting map is useful for intuitively grasping the states of the greenhouse.


2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Benjamin Tetteh Anang ◽  
Kwame Nkrumah-Ennin ◽  
Joshua Anamsigiya Nyaaba

Participation of farm households in off-farm work has gained prominence in recent times as an income diversification strategy. The effect of off-farm work on farm income is however unclear. This paper therefore sought to provide empirical evidence of the income effect of off-farm activity participation using a cross section of maize farmers in Tolon District of Ghana as a case study. In order to account for sample selection bias, the Heckman selection model was used to estimate the factors influencing participation in off-farm work and the determinants of farm income. Furthermore, the study employed propensity score matching to evaluate the impact of off-farm work on farm income. The results indicate that participation in off-farm work is influenced by sex, age, and years of formal education of the respondent, farm size, and number of dependents while farm income is influenced by age of the respondent, farm size, and access to credit. In addition, the result of the propensity score matching revealed that participants in off-farm work increased their farm income by at least GH¢ 1702 as a result of income diversification. The rural economy therefore provides off-farm and on-farm linkages that enhance farmers’ income from agriculture. The creation of employment opportunities outside the farm will therefore complement on-farm work and enhance income from farming.


2017 ◽  
Vol 77 (3) ◽  
pp. 358-375 ◽  
Author(s):  
Tianyuan Luo ◽  
Cesar Escalante

Purpose The purpose of this paper is to investigate the impact of employer-provided health benefits (EPHBs) on labor supply decisions of documented and undocumented farm workers. By establishing a significant linkage between EPHB and farm work decisions, this study provides important implications for farm employment retention and the financial sustainability of farm businesses. Design/methodology/approach Using data from the National Agricultural Workers Survey, objective (actual) and subjective (expected) employment data are used as outcome variables analyzed under an ordered probit model, with the data pre-processed using the coarsened exact matching method to reduce endogeneity issues within the estimation. Findings Results confirm the influence of EPHB on farm workers’ decisions to remain employed on the farm as well as on the duration of their farm employment. Comparatively, EPHB significantly influences undocumented farm workers’ decisions on actual employment duration and subjective working expectations while documented workers seem to ascribe less importance to EPHB in their farm employment decisions. Practical implications This study provides important financial and business viability implications as the value of farm labor services retained through EPHB can translate to high opportunity losses, if ineffective. Alternative labor-saving strategies, such as mechanization, can only potentially lead to serious financial challenges for agribusiness firms, especially small-scale farm operations. This study emphasizes the need for more effective employment retention incentives for the sake of sustaining farm business viability. Originality/value This study presents empirical evidence on the important influence of EPHB on farm employment decisions, especially those made by undocumented farm workers, that have not been extensively explored in literature.


Sign in / Sign up

Export Citation Format

Share Document