Researchers at IIT Kharagpur have developed devices for automating a range of functions for planting sugarcane buds, fitted with an autonomous fungicide application with the aim to reduce labour hours and raw material wastage.
Sugarcane is a global industrial crop popular for the production of sugar, bioenergy, paper, ethanol, electricity etc. The economic importance of the crop in India is paramount with the country registering 17% of global sugarcane production, second only to Brazil. But each year the farmers are losing excess cane stalk as seed material due to conventional cultivation practice which is also labour and time-intensive thus increasing the overall production cost.
A view of a bud separated from sugarcane stalk
The sugarcane planting system, developed by the research team at the Dept. of Agricultural and Food Engineering, consists of a machine vision-based bud cutting machine and a tractor operated bud planting machine.
Bud cutting machine
The bud cutting machine involves three sub-mechanisms – a sugarcane feeding system, a machine vision system for the identification of sugarcane buds and a mechatronic system for cutting the identified bud.
The first sub-mechanism feeds the whole-cane stalk towards the imaging and cutting zone.
The second sub-mechanism identifies the bud location on a cane stalk by means of machine vision, which directs the third sub-mechanism to regulate the decision for cutting action.
The third sub-mechanism is the assembly of mechatronically integrated cutting tools that removes the bud portion from the whole cane.
The tractor operated bud planting machine is also developed for the planting of the prepared sugarcane buds and application of fungicide. It consists of a two-row bud planting mechanism and a sensor-based autonomous fungicide application system.
The functions of the machine include opening a wide soil furrow using furrow openers, picking the buds from the seedbox with the help of a metering mechanism, placing the buds into the soil through a seed delivery tube, sensing of the placed bud and automatic application of fungicide on the bud.
The mechanism would allow reusing 80% of the internodes generated during the process for sugar production and other mainstream purposes.
Output of the bud cutting system
“This technology holds a significant potential at industrial and local levels especially in countries like India that are among the major producers but lacks automation for input developments. This system may further assist in reducing the net planting material requirements against the conventional methods adopted for sugarcane plantation. We can save the excess amount of cane stalk, trashed in the conventional plantation thus reducing the sizable loss of raw material,” said Prof. Virendra K Tewari, Director of the Institute and Professor of farm machinery, who led this product innovation.
The throughput capacity of the developed system with a single cutting unit can range up to 1418 buds/hour.
“Through this automation technology, we can generate seeding material for a hectare of land in 10-15 hours which otherwise takes about 60-90 hours when relying on conventional (manual) methods. This could not only turn out to be a cost-saving opportunity for the farming community but a capacitive solution for sugarcane cultivation through bud chips as well,” added Prof. Tewari.
Conceptual diagram of the autonomous fungicide spraying system
Another area that is addressed through this technology is the autonomous fungicide application which is integrated into the tractor operated planting machine. To protect the seed from soil-borne disease, a sensor-based spraying system has been designed and integrated with the planter to apply a predefined amount of fungicide over the bud and the surrounding soil.
Dr. Brajesh Nare who carried out his doctoral work at IIT Kharagpur and currently working as a scientist at ICAR-CPRI Shimla remarked, “The autonomous system was developed for spot application of liquid fungicide at the time of placement of the bud in the furrow. The function of this system is to detect the buds just before their placement in soil and spray a prescribed amount of chemical on the bud and around the soil. A significant chemical saving was found to be 48% with the sensor-based application at the selected speeds.”
The machines have been tested on a varied range of sugarcane diameters and two popular cultivars were chosen to evaluate the system performances. The research team has filed for a patent in addition to publications in international journals. The other members in the team include Abhilash Chandel, Satry Prakash, Chethan CR, Prateek Shrivastava and Chanchal Gupta.
“Such systems can be majorly employed across the major sugarcane producing countries as complementary and economic tools. Moreover, such units may be multiplied and incorporated industrially to produce sugarcane planting material as per the size of cultivation,” opined Dr. Nare.
Research Contact:Prof. V K Tewari, Professor, Dept. of Agricultural & Food Engineering, E: vktfeb@agfe.iitkgp.ac.in; Dr. Vrajesh Nare, Scientist, ICAR-CPRI, E: brajeshagengg@gmail.com
Researchers at IIT Kharagpur have developed an advanced weather prediction system to facilitate better decision making in agricultural production and reduction of climatic uncertainties and risks. Sponsored by the Ministry of Earth Sciences the two projects ‘Gramin Krishi Mausam Sewa’ ‘and ‘Forecasting Agricultural output using Space, Agrometeorology & Land based observations’ provide timely and right management decisions to farmers to minimize the climatic risk of agricultural production and improve economic return of farming community. The Institute, in collaboration with India Meteorological Department, is disseminating a weather based agro-advisory to farmers for improving agricultural production in highly variable weather conditions.
“The agro-advisory indicating crop and variety selection, sowing/planting time, land preparation, input management, harvest, etc are prepared based on future weather and land characteristics of specific location,” said Prof. Dilip Kumar Swain, from the Dept. of Agricultural & Food Engineering at IIT Kharagpur.
Yield forecasting of crops such as rice, mustard and potato are done at the beginning of sowing/planting, during cropping season and before crop harvest for different districts of West Bengal for introducing specific actions to avoid the yield loss due to weather abnormalities.
“Farmers get awareness on input management such as fertilizer, irrigation, and pesticide application every week throughout the cropping season. Based on a five-day weather forecast, the agro-advisory is prepared on Tuesday and Friday every week and communicated to farmers’ through their mobile phone,” he added.
The advisory is sent in local language to about 3 lakh farmers of five districts (West Medinipur, Jharagram, Bankura, Birbhum, and Purulia) in West Bengal. The advisory is also communicated to district level agricultural officers, Krishi Vigyan Kendra, NGOs, farmers’ portal, TV programme, etc. Using the advisory, farmers protect their crop from extreme events and reduce the production cost by need based irrigation, fertilizer and pesticide application.
“Besides sending the agro-advisory, we also conduct training and awareness programmes regularly in villages on organic farming, vermicomposting, hydroponics, integrated farming, advanced production technology, etc for sustainable agricultural growth, farmers’ capacity building, rural employment generation, increasing economic profit, etc.,” remarked Prof. Virendra Kumar Tewari, Director, IIT Kharagpur.
A good response from the farmers was received about the agromet advisory services provided by IIT Kharagpur, he confirmed
IIT Kharagpur Training Researchers in Application of Digital Technologies in Agriculture for bringing Digital Revolution in the Farm sector
In 2015, the Government of India had launched the Digital India programme to transition India’s public service sector into the digital space. Agriculture is the largest employment vertical with a GDP share of 14% holds a key place in this mission to digitization. Over the years, India has witnessed a substantial increase in yields, crop diversity due to mechanization and knowledge dissemination programmes. However, the steeping consumption due to population explosion and rising income has been a constant challenge despite the progress in the agricultural sector. While the Govt. of India has set up several programmes to achieve the dual solution of automation and digitization, technical institutions can facilitate the transformation. Towards this end, IIT Kharagpur is training the farming community and organizing outreach programmes.
The Dept. of Agricultural and Food Engineering has launched an online course on “Application of Digital Technologies in Agriculture” under the Centre of Excellence for Digital Farming Solutions for Enhancing Productivity by Robots, Drones and AGVs project sponsored by NAHEP-CAAST, ICAR, New Delhi. The short-term course will focus on engaging smart technologies for enhancing productivity with minimal effort and cost. These would include Sensors, Drones, Robots, Artificial Intelligence and Machine Learning, Machine Vision Techniques, Computer-Aided Design and Advanced Digital Technologies application in Agriculture.
“Outreach projects in agricultural digitization are of paramount importance towards development and adoption of knowledge-intensive agriculture education. Globally researchers have been extending their support to precision farming and smart farming through innovations and data analytics. While our Prime Minister had announced a digital marketplace for the farming community, the technical institutions like ours also need to facilitate farming technology requirements of India. The recent calamities and their aftermath has shown why we need to be ready for bad monsoon or climate change or even return to organic farming ways while enhancing agricultural yields by means of technology,” said Prof. Virendra Kumar Tewari, Director, IIT Kharagpur and Principal Investigator of NAHEP-CAAST-IIT Kharagpur.
The NAHEP centre is integrated by three interdisciplinary research divisions such as Agribots, Agri-Drones and Agri-AGV’s based on four portfolios – 1. Climate-based Digital Knowledge Support Centre; 2. Seed/Seedling Processing and Nursery Automation Centre; 3. Smart Portable Machinery Centre; 4. Food Processing Automation Centre. It envisages the enhancement of quality and relevance of agricultural higher education to the agricultural university students.
“It is crucial to empower the human resources with digital technologies in the field of agricultural science and technology, particularly in less-explored domains. The penetration of such knowledge will drive further R&D and create a culture to understand and expedite the adoption of advanced technologies in agricultural practices,” said Prof. Rajendra Machavaram, joint Principal Investigator of NAHEP-CAAST-IIT Kharagpur.
The current course piloted with the postgraduate and doctoral students, faculty members, and scientists from the Vasantarao Marathwada Krishi Vidyapeeth, Maharashtra. However, it garnered significant interest among students and researchers from other institutions and also alumni of IIT Kharagpur. The online lectures for the course have been made available on the Google Meet Link: https://meet.google.com/mwg-cgbn-ddy
