Perception of Farmers with Reference to Drones for Pesticides Spray at Kurukshetra District of Haryana, India
Asian Journal of Advances in Agricultural Research · pp. 9–15 · Published 5 Jun 2023
10.9734/ajaar/2023/v22i3440Abstract
Agricultural productivity and farmer perceptions plays crucial roles in shaping the future of sustainable farming practices. This research paper presents a comprehensive analysis of the impact of drone technology on paddy productivity, specifically focusing on pesticide spraying and explore the perception and attitude of farmers towards the usage of drones in agriculture. Multistage sampling technique was used to select 90 farmers. A mixed-method approach was taken to collect data through well-structured questionnaire, interview, field experiments and survey. Data was analyzed using garret ranking, correlation coefficient and Likert scale. The result shows that farmers find labor factors to be most crucial for adopting drones and problem of water scarcity could be easily overcome. As 60% of farming is depended on rainwater and since drones consume a mere 5-6liters of water, whereas conventional methods require over 100 liters of waters. Yield has increased to 6.25% and quality by 2.25%. Result shows moderate correlation coefficient of 0.6 between the factor influencing productivity of paddy before and after usage of drones.
References (9)
- 1 Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides [DOI]
- 2 An adaptive approach for UAV-based pesticide spraying in dynamic environments [DOI]
- 3 Crop Losses due to insect pests: Global and Indian Scenario [DOI]
- 4 Development of a Spray System for an Unmanned Aerial Vehicle Platform [DOI]
- 5 Artificial Intelligence in Agriculture [DOI]
- 6 Evaluating Farm Management Performance by the Choice of Pest-Control Sprayers in Rice Farming in Japan [DOI]
- 7 Modelling the effects of fundamental UAV flight parameters on LiDAR point clouds to facilitate objectives-based planning [DOI]
- 8 Comparative Efficacy of Drone Application in Chemical Spraying at Paddy Field MADA Kedah [DOI]
- 9 Integrated Control of Sugarcane Diseases and Pests [DOI]
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