Rice production in the rainforest in Zaire: An analysis of the smallholder traditional farming system in Yalibwa, Upper-Zaire

1989 ◽  
Vol 31 (3) ◽  
pp. 291-303 ◽  
Author(s):  
E. Huybens ◽  
E.F. Tollens
2021 ◽  
Vol 5 (1) ◽  
pp. 97-106
Author(s):  
Rajab Rajab

The aims of this reseach were both to identification of coat color and to characterization several body measurements of Bali cattle male categorized in three types of age which reared in traditional farming system. The study conducted by using survey observatory method with total of  154 tails of beef cattle using for coat color identification and 29 tails of male Bali cattle were measured. Observed variables were coat color, chest circumference, shoulder height and body lenght. The data obtained were analyzed descriptively. The results showed that the distribution of Bali cattle with normal coat color was 100 %, but if diveded into native and unnative color then the frequencies were 64 % and 36 % respectively. The average rate of chest circumference, shoulder height and body lenght of male Bali cattle respectively were follows  108.47, 86.92, and 84.07 cm for Io ; 120.62, 96.98, dan 96.61 cm for I1 ; and 144.75, 116.93, and 112.22 for I2 cm. The body size of male Bali cattle is still relatively low and does not meet the quality standards of good beef cattle.  


2017 ◽  
Vol 9 (1) ◽  
pp. 32-47 ◽  
Author(s):  
Tsaiyu Chang ◽  
Daisuke Takahashi ◽  
Chih-Kuan Yang

Purpose The purpose of this paper is to analyze and compare the profit efficiency of custom and self-farming methods of rice production in Taiwan. Design/methodology/approach This study examines the nature and extent of the profitability and profit efficiency of custom and self-farming based on a farm survey in Taiwan. Furthermore, it estimates the stochastic profit frontier to measure the degree of inefficiency and analyze the determinants of these inefficiencies. Findings The profitability and profit efficiency of custom farming are lower than for self-farming, and the differences in profitability are more significant for large rice farmers. The estimation results show that the custom farming area and the farmer’s age decrease efficiency and, regardless of the farming style used, larger farms have higher profit efficiency. Research limitations/implications This study’s findings show that self-farming is more favorable than custom farming for profit efficiency. This study examined this problem by conducting a regression adjustment for explanatory variables, but did not remove all self-selection bias, which may occur between profit efficiency and the choice of farming system. Originality/value Previous studies that measured the efficiency of rice farming often considered cost efficiency by the cost function, and ignored the increased profit from producing high-quality rice. This study used a one-step estimation of the profit frontier function to measure the degree of inefficiency and analyze the determinants of this inefficiency.


2020 ◽  
Vol 5 (4) ◽  
pp. 510-515
Author(s):  
MD Jiabul Hoque ◽  
Md. Razu Ahmed ◽  
Saif Hannan

In traditional farming, farmer has to visit the farming land regularly to measure the various environmental parameters such as temperature, humidity, light intensity and soil moisture to cultivate the right crops at right time in right soil. Even though this traditional farming system have been used for years, the system is hectic and fail to prove high productivity rate as farmer usually unable to measure all the parameter accurately [1]. In contrast, greenhouse farming is a system where farmer cultivate crops in ecosystem environments where all environmental parameters are adjusted based on crops types. Automation in greenhouse is a method where farmer is able to monitor and control the greenhouse environment automatically from anywhere in the world any time [3]. In this paper, authors proposed an automated greenhouse monitoring and controlling system that incorporate various sensors such as temperature sensor, humidity sensor, light sensor and soil moisture sensor to collect possible environmental parameters of greenhouse as well as integrate Arduino Uno R3 (to store and process data), GSM module (to send the measured value of the various parameters to the user cell phone via SMS to ensure efficient growth of plants), solar power system with rechargeable battery (to make sure continuous power supply to the greenhouse system). Moreover, Internet of Things (IoT) is used to store data to a database and process the collected data and finally send the information to the android apps which has been developed for monitoring and controlling of greenhouse by the user. Moreover, the authors compared the proposed greenhouse model with some recent works and found the proposed system cost effective, efficient and effective by analyzing major environmental parameters. Finally, authors analyze the cost associated with the deployment of proposed greenhouse model which depict quite affordable for farmers and worth deploying.


2005 ◽  
Vol 76 (3) ◽  
pp. 321-330 ◽  
Author(s):  
Yusuke TABATA ◽  
Masayuki KITAGAWA ◽  
Tatsuya INAMURA ◽  
Joken ISHIDA ◽  
Hiroyuki HIROOKA

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