scholarly journals Adoption of Recommended Plant Protection Measures for the Management of Major Coconut Pests by Coconut Growers in Kurunegala District, Sri Lanka

CORD ◽  
2018 ◽  
Vol 34 (1) ◽  
pp. 8
Author(s):  
W.G. Ruvani Subhathma
Keyword(s):  
Decision Making ◽  
Sri Lanka ◽  
Technology Adoption ◽  
Pest Control ◽  
Plant Protection ◽  
Remedial Measures ◽  
Protection Measures ◽  
Limited Access ◽  
Coconut Mite ◽  
Two Factors

Coconut production in Sri Lanka is threatened by pest and diseases. Therefore, different remedial measures have been introduced by Coconut Research Institute (CRI) to safeguard the plantations. This study was carried out to determine the adoption of recommended plant protection measures to manage major pests of coconut by the growers in different land categories. The growers were selected from Kurunegala district, which is the major coconut growing district in coconut triangle in Sri Lanka. Findings of the study revealed that more than 70 percent of the growers in all land categories above 2Ac had adopted technologies recommended by CRI to control black beetle. Technology adoption was around 60 percent for red weevil control, around 30 percent for coconut mite and around 65 percent for plesispa beetle. It was also noted that the decision making on the adoption of different technologies is affected by the perceptions of the growers. Growers’ perception was determined by two factors, information receiving sources and occurrence of pest attacks in their fields. Further, it was found that the growers are having limited access to latest technologies in pest control. In addition, the study revealed that unawareness of technologies and low attention for coconut farming was the two major reasons for poor adoption of the recommended technologies. It is concluded that coconut growers in Kurunegala district require more awareness regarding recommended plant protection measures to manage major coconut pests and strengthen extension programes.     

ICT based decision support systems for Integrated Pest Management (IPM)in India: A review

2016 ◽  
Vol 37 (4) ◽  
Author(s):  
Niranjan Singh ◽  
Neha Gupta
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Integrated Pest Management ◽  
Decision Support Systems ◽  
Pest Management ◽  
Pest Control ◽  
Support Systems ◽  
Plant Protection ◽  
Crop Protection ◽  
Management Information

Pests cause significant losses to crop production in India. Excessive and irrational use of chemicals for pest control not only degrades the environment but also affects the human health due to presence of pesticide residue. Integrated Pest Management (IPM) is such a technology, which combines multiple ecologically safer and economically sound pest control methods. IPM being knowledge intensive approach to crop protection emphasizes appropriate decision-making based on knowledge of interaction of the crop, pests, beneficial organisms that prey on pests and whole lot of other information. IPM practitioners or farmers require timely access to the relevant pest management information/knowledge and expertise. So the improved methods of Information and Communication Technology (ICT) such as Decision Support Systems (DSSs) greatly help the farmers in accessing the pest management information and expertise. DSSs are software tools that support decision-making activities. They collect, organize, integrate and analyze all types of information required for decision making and finally use the analysis to recommend the most appropriate action. Many DSSs have been developed for in the field of plant protection by various public and private organizations in the country which have been elaborated in this review.

scholarly journals Effects of the Timing and the Number of Sprays on Cotton Yields in Sind: An Exploratory Analysis

1985 ◽  
Vol 24 (2) ◽  
pp. 173-181 ◽  
Author(s):  
Sajjad Akhtar
Keyword(s):  
Cultural Practices ◽  
Plant Protection ◽  
Quality Data ◽  
Protection Measures ◽  
Cotton Crop ◽  
Pest Damage ◽  
Test Models ◽  
Level Data ◽  
Two Factors ◽  
Complementary Inputs

Plant protection measures for a weather-sensitive crop like cotton can make a difference between its actual and normal yields. Since in the cotton-growing areas of Pakistan, small variations are observed in the use of complementary inputs like fertilizer, seeds, irrigation and cultural practices, the timing of application and the quality and amount of pesticides assume crucial importance in determining cotton yields, In Pakistan, quality data relating to pesticide use are almost non-existent because of the absence of organized and coordinated research on pest management. As a result, it is very difficult, if not impossible, to test models of pest-crop environment and to derive optimal pesticide dosage response, incorporating pest damage and pest kill functions. Furthermore, a survey of literature available in Pakistan reveals that whereas studies under controlled experiments on the biological aspects of the use of pesticide have been frequent [I; 2; 3; 4}, few studies exist on the economics of pesticide applications as observed from the farmer's land. This paper, therefore, adopts an exploratory method for assessing the usefulness of the application of pesticide to cotton crop in Sind.• By applying simple statistical techniques to farm level data, we try to answer some key questions. Is the timing or number of sprays more important in explaining the variation in yields? Is the interaction of these two factors a significant source of explained variation?

Genetic improvement of natural enemies: A review

2016 ◽  
Vol 37 (4) ◽  
Author(s):  
S. Routray ◽  
D. Dey ◽  
S. Baral ◽  
A. P. Das ◽  
B. Mahantheshwara
Keyword(s):  
Decision Making ◽  
Pest Management ◽  
Pest Control ◽  
Crop Production ◽  
Plant Protection ◽  
Crop Protection ◽  
Management Information ◽  
Public And Private ◽  
Other Information ◽  
Types Of Information

Pests cause significant losses to crop production in India. Excessive and irrational use of chemicals for pest control not only degrades the environment but also affects the human health due to presence of pesticide residue. Integrated Pest Management (IPM) is such a technology, which combines multiple ecologically safer and economically sound pest control methods. IPM being knowledge intensive approach to crop protection emphasizes appropriate decision-making based on knowledge of interaction of the crop, pests, beneficial organisms that prey on pests and whole lot of other information. IPM practitioners or farmers require timely access to the relevant pest management information/knowledge and expertise. So the improved methods of Information and Communication Technology (ICT) such as Decision Support Systems (DSSs) greatly help the farmers in accessing the pest management information and expertise. DSSs are software tools that support decision-making activities. They collect, organize, integrate and analyze all types of information required for decision making and finally use the analysis to recommend the most appropriate action. Many DSSs have been developed for in the field of plant protection by various public and private organizations in the country which have been elaborated in this review.

scholarly journals Improved Q-Learning Algorithm Based on Approximate State Matching in Agricultural Plant Protection Environment

Entropy ◽  
2021 ◽  
Vol 23 (6) ◽  
pp. 737
Author(s):  
Fengjie Sun ◽  
Xianchang Wang ◽  
Rui Zhang
Keyword(s):  
Decision Making ◽  
Reinforcement Learning ◽  
Optimal Policy ◽  
Feasible Solution ◽  
Learning Algorithm ◽  
Plant Protection ◽  
Agricultural Plant ◽  
Q Learning ◽  
Aerial Vehicle ◽  
Optimal Action

An Unmanned Aerial Vehicle (UAV) can greatly reduce manpower in the agricultural plant protection such as watering, sowing, and pesticide spraying. It is essential to develop a Decision-making Support System (DSS) for UAVs to help them choose the correct action in states according to the policy. In an unknown environment, the method of formulating rules for UAVs to help them choose actions is not applicable, and it is a feasible solution to obtain the optimal policy through reinforcement learning. However, experiments show that the existing reinforcement learning algorithms cannot get the optimal policy for a UAV in the agricultural plant protection environment. In this work we propose an improved Q-learning algorithm based on similar state matching, and we prove theoretically that there has a greater probability for UAV choosing the optimal action according to the policy learned by the algorithm we proposed than the classic Q-learning algorithm in the agricultural plant protection environment. This proposed algorithm is implemented and tested on datasets that are evenly distributed based on real UAV parameters and real farm information. The performance evaluation of the algorithm is discussed in detail. Experimental results show that the algorithm we proposed can efficiently learn the optimal policy for UAVs in the agricultural plant protection environment.

A decision making matrix with life cycle perspective of materials for roofs in Sri Lanka

2007 ◽  
Vol 28 (9) ◽  
pp. 2478-2487 ◽  
Author(s):  
U.G. Yasantha Abeysundra ◽  
Sandhya Babel ◽  
Shabbir Gheewala
Keyword(s):  
Decision Making ◽  
Life Cycle ◽  
Sri Lanka ◽  
Life Cycle Perspective

​Factors Affecting Production of Important Pulse Crops in Rajasthan: A Cobb Douglas Analysis

2021 ◽  
Author(s):  
Devendra Kumar Verma ◽  
Hari Singh ◽  
Girdhari lal Meena ◽  
Jitendra Suman ◽  
Sharad Sachan
Keyword(s):  
Production Function ◽  
Irrigation Water ◽  
Agricultural Sector ◽  
Plant Protection ◽  
Secondary Data ◽  
Protection Measures ◽  
Factors Affecting ◽  
Pulse Crops ◽  
Human Labour ◽  
Negative Effect

Background: Pulses are one of the most important food crops grown globally owed to their higher protein content. It also accounts for larger financial gains of the agricultural sector by amounting for a large part of the exports. The present study was carried out to determine the factors affecting production of pulse crops in Rajasthan. Methods: This paper based on secondary data collected over the years i.e. from 2000-01 to 2017-18. The Cobb-douglas production function was used to the observation for the estimation of elasticity of selected variables contributing to the production of pulses in Rajasthan state, Cobb douglas type production function was employed to assess the effects of seed, fertilizer, manure, human labour, irrigation, bullock labour and plant protection measures on pulses production. Result: The results from the study have shown that fertilizer and plant protection measures were positively significant while the variable corresponding to irrigation water was negatively significantly affecting the gram production. The variables such as seed and irrigation water were found positive and significant, while plant protection measures had significant negative effect on black gram production. Only two variables namely, fertilizer and irrigation water were found positively significant out of estimating production function of green gram.

Assessment of IPM module against pod borer complex in pigeon pea (Cajanus cajan L.)

2020 ◽  
Vol 1 (2) ◽  
pp. 86-88
Author(s):  
Sandeep Kumar ◽  
◽  
S. Nath ◽  
S.K. Kannaujia ◽  
S.P. Sonkar
Keyword(s):  
Grain Yield ◽  
Plant Protection ◽  
Pigeon Pea ◽  
Larval Population ◽  
Protection Measures ◽  
Net Return ◽  
Pod Borer ◽  
Untreated Check ◽  
Bud Initiation ◽  
On Farm

On-farm testing of IPM module in pigeon pea against pod borer complex was carried out on farmers’ field of two villages of district Jaunpur by KVK Jaunpur- 1 during 2018 and 2019 with three components viz., IPM module, farmers’ practice, and untreated check without plant protection measures. The IPM interventions viz., growing pod borer tolerant variety, two rows of maize as a border crop, installation of pheromone traps and bird perches with the application of botanical based insecticide azadirachtin 1% at the vegetative stage as an oviposition deterrence, application of chlorantraniliprole, and flubendiamide at critical stages of pod borer appearance during bud initiation and flowering stages. The reduction in the larval population and pod damage in IPM treated plots resulted in a significant increase in grain yield (1525 kg/ha) followed by farmers’ practice (1195 kg/ha) and in untreated check (857 kg/ha) The increase in grain yield was due to an additional investment of Rs.4100/-ha towards IPM module and farmers’ practice (Rs.2600/-ha). The excess expenditure incurred resulted in the highest net return of Rs.47550/-ha in the IPM module as compared to farmers' practice and in untreated check resulted in the lowest net return of Rs.18250/-ha.

Accessibility and frequency of Information and Communication Technologies (ICTs) usages by Haryana Farmers

2020 ◽  
Vol 36 (1) ◽  
pp. 11-14
Author(s):  
Rupender Kumar ◽  
Pardeep Chahal ◽  
Mukesh Chaudhary
Keyword(s):  
Mobile Phone ◽  
Information And Communication Technologies ◽  
Management Practices ◽  
Plant Protection ◽  
Economic Status ◽  
Dairy Product ◽  
Protection Measures ◽  
Frequent Use ◽  
Fm Radio ◽  
E Mail

The study was carried out in four district of Haryana state namely Yamunanagar, Karnal, Hisar and Fatehabad, selected randomly. In total 240 respondents from 16 village were selected for analysis of Accessibility and frequency of ICT. Availability of mobile among the farmers was high followed by television, FM/Radio, internet accessed WhatsApp; face book; YouTube; E-mail, camera enabled mobile phone, Computer, , E-book and CD/VCD were found available and accessed by the farmers. Frequent use of mobile phone by farmers was found followed by TV, FM/Radio, internet, WhatsApp; Mobile phone, face book, YouTube, Computer, E-mail, E-book and CD/VCD. Farmers use of ICTs for the Variety of purpose included marketing, schedule of water supply, supportive facts, plant protection measures, marketing of dairy product, health care practices, management practices, breeding and reproduction practices. Variables education, socio-economic status, extension contact, mass media exposure, scientific orientation, economic motivation and risk orientation exhibited positive and significant whereas age exhibited negative significant with number of ICTs usage by farmers.

scholarly journals Assessment of Women participation in Agriculture in Vavuniya district, Sri Lanka

2016 ◽  
Vol 3 (3) ◽  
pp. 159-162
Author(s):  
Gopalakrishnan Tharani ◽  
Mohamed Sameem Roshan Akther ◽  
Nanthakumaran Ananthini
Keyword(s):  
Decision Making ◽  
Sri Lanka ◽  
Multiple Regression ◽  
Urban Area ◽  
Rural Area ◽  
Rural Women ◽  
Rural Areas ◽  
Agricultural Activities ◽  
Urban And Rural Areas ◽  
Women Participation

An attempt was made to assess the women contribution towards agriculture in Vavuniya district, Sri Lanka. 60 farm family households' women were randomly selected from rural and urban area of Kovilkulam AI region of Vavuniya district in Sri Lanka and the data were collected by constructed questionnaire. The objectives of this study are to identify the factors contributing women participation in agriculture, to identify the constraints faced by the women in participating agriculture and to evaluate the women participation in decision making activity in agriculture. Minitab 15 and MS excel were used for data analysis. The level of women participation in agricultural activities was found out using chi-square test and the factors contributing for women participation in agricultural activities were identified using multiple regression analysis in urban and rural areas separately (α=0.05). The results revealed that 90% of the rural women respondents and 50% of the urban respondents participated in the agricultural activities which is a significant difference. The mean values of women participation in agricultural activities in urban and rural areas were 77 hours and 836 hours per annum respectively. The multiple regression model for women participation in urban area found that the participation of women negatively correlated with status of employment, age and education level (p=0.000). In rural area, age and educational level were negatively influencing on women participation in agricultural activities (p=0.000). R-square values of fitted regression models were 72 % and 91% in urban and rural area respectively 72% and 91% variation in respective women participation were explained by these models. The obstacles for the women in participation in agricultural activities were reported as lack of knowledge and training in agriculture field, family burden, cultural and social barriers and physical constraints. 60% of women from rural areas and 90% of women from urban areas were involved in decision making especially in the selection of crops and varieties for planting and livestock rearing. Enhancing the awareness and the technical knowledge to the women in the field of agriculture would contribute to increase income from agriculture at household level, district level and finally at national level. Int. J. Soc. Sc. Manage. Vol. 3, Issue-3: 159-162

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