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Smart Agricultural – An Application of Cyber Physical Systems
Published in G.R. Karpagam, B. Vinoth Kumar, J. Uma Maheswari, Xiao-Zhi Gao, Smart Cyber Physical Systems, 2020
G.R. Karpagam, M. Syed Hameed, K. Eshwar
Precision agriculture helps farmers to use crop inputs more effectively, which includes pesticides, tillage, fertilizers and irrigation water. This targets greater crop yield with reduced risk of environmental pollution. However, the cost–benefits of managing precision agriculture are difficult to determine. In the present time, most of the technologies that are used are still in their infancy, so that pricing them would be difficult. Precision agriculture takes care of both environmental and economic issues of production agriculture. The precision agriculture success depends mainly on the knowledge needed to guide new technologies to farmers. This is the way in which “smartness” can be incorporated into agriculture. From the perspective of the future, several smart agriculture technologies, that have already been described here, will soon be incorporated into existing field-testing techniques.
Phytonanotechnology for Sustainable Agriculture
Published in Cherry Bhargava, Amit Sachdeva, Nanotechnology, 2020
Reshmi S Nair, Shriya Iyer, J. Athira, Asha Anish Madhavan
Precision agriculture is a farming management concept of measuring and responding to inter- and intra-field variation in crops and its environment to form a decision support system for whole farm management in order to acquire the maximum output from the available resources. Nowadays, nanotechnology is extensively used in modern agriculture to make true the concept of precision agriculture. The Green Revolution resulted in an increase in the use of fertilizers and pesticides that led to the loss of the ecosystem, and resistance against pesticides and severe pollution. Precision farming or site-specific crop management (SSCM) is a precise farming method that involves studying and measuring the variation in environmental conditions of the field or the crop, in order to maximize the output using minimum resources with the help of technology. It aims to increase the crop yields substantially while using the least amount of fertilizers by monitoring the growth of the crop and providing targeted action. Precision farming utilizes information technology, GPS, and remote sensors to measure the variations to determine the exact source of concern. Precision farming also aids in decreasing the agricultural waste, hence controlling the environmental pollution significantly.
Numerical simulation of the automotive hydraulic steering systems
Published in Nicolae Vasiliu, Daniela Vasiliu, Constantin Călinoiu, Radu Puhalschi, Simulation of Fluid Power Systems with Simcenter Amesim, 2018
Nicolae Vasiliu, Daniela Vasiliu, Constantin Călinoiu, Radu Puhalschi
This section presents the structure and the performance of a new electrohydraulic steering system for articulated mobile equipments, which can be remotely controlled via GPS. The system performances were identified using a forestry-articulated tractor. The front chassis was locked, leaving free the back one to rotate on a circular raceway. The tractor steering system was identified by the aid of a rotary hydraulic motor controlled in closed loop by a servovalve. Then, the steering unit was replaced by a servovalve. The system feedback was supplied by a position transducer attached to one of the hydraulic cylinders. The new system performance is found good enough for tractor’s remote control. Precision farming or precision agriculture is about making farming processes more accurate, efficient, and sustainable through the use of advanced satellite navigation systems (such as GPS) and Information Technology (IT).
A review on the applications of machine learning and deep learning in agriculture section for the production of crop biomass raw materials
Published in Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2023
Wei Peng, Omid Karimi Sadaghiani
The optimal time of yield forecasts was determined by Poudyal et al. (Poudyal et al. 2022) using the gradient-boosting regression tree model and unmanned aerial vehicle-based hyperspectral photography. Additionally, yield maps provide crucial information to direct practices in precision agriculture (PA). To create a forecast sugarcane yield map, an ML approach was combined with time-series orbital photography. Since sugarcane requires more water and is sensitive to water management systems, Revathy and Balamurali (Revathy and Balamurali 2022) designed an effective irrigation scheduling system utilizing a hybrid DL algorithm to increase crop yield. To categorize the irrigation techniques, CNN and optimal DL models are employed in this study, which focuses on the various irrigation systems for sugarcane production.
Big Data in Food: Systematic Literature Review and Future Directions
Published in Journal of Computer Information Systems, 2022
Debarun Chakraborty, Nripendra P. Rana, Sangeeta Khorana, Hari Babu Singu, Sunil Luthra
The study also discussed about the future directions. Precision agriculture, supply-chain efficiency, and agricultural-focused payment systems are just a few examples of how rising economies may take advantage of digital’s potential in the food chain. Precision agriculture is a technology-driven farming management method that tracks, measures, and analyzes the needs of specific areas and crops. It allows farmers to apply specialized care and manage water more effectively, increasing output, increasing economic efficiency, and reducing waste and environmental impact. To improve fleet management and prevent spoilage, automated solutions that indicate the status, performance, and possible bottlenecks of critical equipment in real time can be used. Transportation times can be cut in half by using smart meters to improve routing. Payment systems and financial services tailored to agriculture can help farmers establish more resilient economic models. To limit weather risk, some producers, for example, use insurance contracts. Premiums are calculated based on the likelihood of a specific meteorological occurrence, such as frost, and the consequences for a crop at a specific time of its growth cycle.
Virtual water: its implications on agriculture and trade
Published in Water International, 2018
Chittaranjan Ray, David McInnes, Matthew Sanderson
Technology adoption is also vital to respond to the water challenge and improve sustainability. Technology is key to precision agriculture (and ‘precision irrigation’), which will help to ensure that plants get the required nutrients and water at the right time and in the right amount. A global effort is underway to improve fertilizer use (known as the 4R program for ‘right source, right rate, right time, and right place’), which is helping to achieve this positive outcome. Farmers are generally motivated to improve their practices as they want to ensure yield and quality, such as using soil moisture sensors to irrigate their fields (and to maximize the ratio of transpiration to evaporation), but the technology is yet to be adopted by all farmers.