Factors effective on reaching goals and target groups of agricultural supports: a case study in Diyarbakir Province, Turkey

ABSTRACT: In this study, factors affecting the willingness to continue organic almond production in Eğil and Dicle districts of Diyarbakır were investigated. A semi-structured interview method was used in data collection. Descriptive statistics and logistic regression were used in data analysis. According to the results, it was reported that the association membership status and agricultural supports are very important (P<0.01) and the size of the almond establishment (acres) (p<0.01). Association membership status significantly increases the desire to continue organic production by approximately 11%. Conversely, 24.2 percent of the participants who claim that support is needed for almond production is willing to produce organic. However, one hectare increase in almond plantation reduced the probability of continuing organic almond production in the ceteris paribus by 1%, suggesting that organic farming awareness is not sufficiently developed. It turns out that support payments are the main driving force for farmers to continue organic production, and the underlying reason for association membership is access to support payments.

Contribution of Farmer’s Profile Characteristics to the Perception of Collective Farming in Tirunelveli District, India

Collective Farming Scheme was implemented in the year 2017-2018 by the Government of Tamil Nadu, India to empower the farmers and their access to modern technologies. This study aimed to ascertain the contribution of the profile characteristics to the perception of collective farming. The study was conducted in Alangulam block of Tirunelveli district of Tamil Nadu. Data were collected through a well structured interview schedule with 120 farmers selected from four villages (Vadiyoor, Melamaruthappapuram, Ayyanarkulam and Sivalarulam). Regression analysis was carried out to determine the contribution of 12 selected farmer’s profile characteristics to the perception of collective farming. Social participation, training and innovativeness were the major factors that positively and significantly contributed to the perception of collective farming. For the better perception and practice of collective farming awareness from the state department or extension officials can be provided to the farmers along with the advantages of collective farming.

A multi-delay model for pest control with awareness induced interventions — Hopf bifurcation and optimal control analysis

Farming awareness is an important measure for pest controlling in agricultural practice. Time delay in controlling pest may affect the system. Time delay occurs in organizing awareness campaigns, also time delay may takes place in becoming aware of the control strategies or implementing suitable controlling methods informed through social media. Thus we have derived a mathematical model incorporating two time delays into the system and Holling type-II functional response. The existence and the stability criteria of the equilibria are obtained in terms of the basic reproduction number and time delays. Stability changes occur through Hopf-bifurcation when time delays cross the critical values. Optimal control theory has been applied for cost-effectiveness of the delayed system. Numerical simulations are carried out to justify the analytical results. This study shows that optimal farming awareness through radio, TV etc. can control the delay induced bifurcation in a cost-effective way.

Bifurcation Control of a Delayed Fractional Mosaic Disease Model for Jatropha curcas with Farming Awareness

In this paper, the bifurcation control of a fractional-order mosaic virus infection model for Jatropha curcas with farming awareness and an execution delay is investigated. By analyzing the associated characteristic equation, Hopf bifurcation induced by the execution delay is studied for the uncontrolled system. Then, a time-delayed controller is introduced to control the occurrence of Hopf bifurcation. Our study implies that bifurcation dynamics is significantly affected by the change of the fractional order, the feedback gain and the extended feedback delay provided that the other parameters are fixed. A series of numerical simulations is performed, which not only verifies our theoretical results but also reveals some specific features. Numerically, we find that the Hopf bifurcation gradually occurs in advance with the increase of the fractional order, and there exist extreme points for the feedback gain and the extended feedback delay which can minimize the bifurcation value.