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Govind Ballabh Pant University of Agriculture and Technology, Pantnagar

After independence, development of the rural sector was considered the primary concern of the Government of India. In 1949, with the appointment of the Radhakrishnan University Education Commission, imparting of agricultural education through the setting up of rural universities became the focal point. Later, in 1954 an Indo-American team led by Dr. K.R. Damle, the Vice-President of ICAR, was constituted that arrived at the idea of establishing a Rural University on the land-grant pattern of USA. As a consequence a contract between the Government of India, the Technical Cooperation Mission and some land-grant universities of USA, was signed to promote agricultural education in the country. The US universities included the universities of Tennessee, the Ohio State University, the Kansas State University, The University of Illinois, the Pennsylvania State University and the University of Missouri. The task of assisting Uttar Pradesh in establishing an agricultural university was assigned to the University of Illinois which signed a contract in 1959 to establish an agricultural University in the State. Dean, H.W. Hannah, of the University of Illinois prepared a blueprint for a Rural University to be set up at the Tarai State Farm in the district Nainital, UP. In the initial stage the University of Illinois also offered the services of its scientists and teachers. Thus, in 1960, the first agricultural university of India, UP Agricultural University, came into being by an Act of legislation, UP Act XI-V of 1958. The Act was later amended under UP Universities Re-enactment and Amendment Act 1972 and the University was rechristened as Govind Ballabh Pant University of Agriculture and Technology keeping in view the contributions of Pt. Govind Ballabh Pant, the then Chief Minister of UP. The University was dedicated to the Nation by the first Prime Minister of India Pt Jawaharlal Nehru on 17 November 1960. The G.B. Pant University is a symbol of successful partnership between India and the United States. The establishment of this university brought about a revolution in agricultural education, research and extension. It paved the way for setting up of 31 other agricultural universities in the country.

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  • ThesisItemOpen Access
    Application of machine learning algorithms in hostel mess attendance system using face recognition
    (G. B. Pant University of Agriculture and Technology, Pantnagar, 2022-10) Pokhariya, Jyoti; Mishra, P.K.
    How to accurately and effectively identify people has always been an exciting topic in research and industry. With the rapid development of machine learning in recent years, facial recognition is gaining more and more attention. The face is the representation of one's identity. Hence, we have proposed an automated hostel mess attendance system based on face recognition for students. Face recognition is mainly used in biometric applications, surveillance systems, and computer vision. The major problem while recognizing faces arises due to pose variations, background illumination invariants and facial expressions. The proposed model utilizes two machine learning algorithms, HOG and SVM. HOG is used in preprocessing face images, and SVM is the classification algorithm used for image classification. The use of two separate machine learning algorithms improves the system recognition accuracy. In many of the hostel mess, managing the attendance of students/candidates is a tedious task, as there would be many students in the hostel mess and keeping track of all is onerous. Based on face detection and recognition algorithms, this system spontaneously detects the student when they enter the hostel mess and mark their attendance by recognizing them. The database is then modified or updated automatically. This reduces the time and effort of manually updating the attendance. The act of proxies will also be avoided using a face recognition attendance system. Face recognition system, compared to traditional card recognition, biometrics like fingerprint recognition and iris recognition, has many advantages. It is limited to non-contact, high concurrency, and user-friendly models, which are highly required after the covid-19 pandemic.
  • ThesisItemOpen Access
    Design and implementation of drone spraying module using raspberry pi
    (G. B. Pant University of Agriculture and Technology, Pantnagar, 2022-10) Jyoti Ratna; Singh, Rajeev
    AI and IoT have made significant contributions to resolving people's issues in the present day technological world. The emergence of IoT and the broad implementation of cloud and internet technologies have made it possible to integrate traditional agricultural techniques with smart devices to automate some or all associated activities. Designing an agriculture drone spraying module to spray pesticides to minimize the adverse effects on people is the primary goal of this thesis. In this study, we describe a structure-based on drone. Pesticides must be used in agriculture to maintain the standard of large-scale production. By substituting intelligent machines like drones for human labourers using the most recent technologies; agriculture can be more productive and efficient. The use of pesticides in agriculture plays a significant part in raising the production of various crops per acre. The drones will carry pesticides to spray all around the farm, minimizing farmer’s effort and improving task completion. Spraying pesticides and fertilizer is a crucial step in agriculture for excellent crop production. The research's goal is to develop a drone spraying module that can do a variety of agricultural tasks including application of fertilizers and pesticides. The proposed procedure includes creating a prototype using basic and affordable technology like a Raspberry Pi and various motors and terminal equipment’s to assist farmers in various crop field operations. The obtained results suggest that a high spraying accuracy can be obtained using the proposed developed low cost system. Also, this system can be fitted on micro and small drones for spraying in the farms. The spraying module consists of following hardware parts i.e. water pump, two 5-way splitting nozzles, water pipes, battery and L298N motor driver and the total cost of designing the spraying module is approximately Rs.2000.