The monsoon plays a crucial role in agricultural output. The success of a crop planted during a given monsoon season is highly dependent on the weather conditions of that season. The danger and losses caused by harsh climatic conditions can be reduced if farmers have access to real-time meteorological information for making crop management decisions.
Without considering the soil's geographical and temporal variability, agricultural fields are managed on a field-by-field basis, per the recommendation of the research project. A farmer may make a naïve, uninformed decision about inputs like fertilizers, irrigation systems, and labor, leading to an unsatisfactory harvest. Only through optimizing resource input use efficiency can we hope to increase productivity indefinitely from the finite quantities of natural resources at our disposal while minimizing or eliminating any negative consequences.
However, this can be avoided through precision agriculture, which is dedicated to optimizing resource use by controlling the temporal and geographical variability of soil and ecosystem conditions. Collecting agricultural data in a smart way for farmers has been greatly aided by the development of the Internet of Things and other sensor edge connecting devices in the modern day.
Furthermore, there are many economic difficulties that have been integrated into farming that influence productivity and the absence of farmers in rural and semi-rural areas. Pesticide use, weather, a lack of water, a lack of resources, and poor soil quality are just some of the daily obstacles that farmers must overcome, and the best strategies for doing so must be determined in a strategic manner.
Smart precision agriculture is an innovative approach to farming that uses cutting-edge technology to sustainably enhance crop yields. To improve farming, smart IoT devices are linked together using cutting-edge technology. By deploying smart sensors and adopting a smart approach to farming, farmers can improve agricultural output while spending less time in the field. Smart technologies improve farming by requiring fewer resources (water, power) and allowing for greater efficiency (by constant monitoring of humidity and temperature). Multiple sensors, including ones that measure humidity, temperature, and soil moisture, are used in Internet of Things–based smart farming to keep tabs on the fields.
Smart Sustainable Agriculture (SSA) continues to suffer from a lack of investment in R&D as well as complex barriers brought on by the disjointed nature of agricultural processes such as the management and operation of IoT/AI machines, remote sensing, environmental impact, data sharing and management, interoperability, and the analysis and storage of vast quantities of data.
We therefore, welcome submissions including but not limited to, the below:
• Intelligent tools for crop monitoring and management at individual sites
• Methods for processing data and the issues and solutions surrounding big data
• The role of data-aware networking in data-driven smart agriculture
• The role of big data innovation in ecologically sound farming
• Decision-Making and Support Systems (AI, machine learning)
• Real-time data collection for precision farming
• The expanding use of precision farming techniques
• Precision agriculture: data mining and statistical challenges
• Systems that aid in making agricultural decisions for high precision farming
• Cutting-Edge Technologies in Precision Farming
The monsoon plays a crucial role in agricultural output. The success of a crop planted during a given monsoon season is highly dependent on the weather conditions of that season. The danger and losses caused by harsh climatic conditions can be reduced if farmers have access to real-time meteorological information for making crop management decisions.
Without considering the soil's geographical and temporal variability, agricultural fields are managed on a field-by-field basis, per the recommendation of the research project. A farmer may make a naïve, uninformed decision about inputs like fertilizers, irrigation systems, and labor, leading to an unsatisfactory harvest. Only through optimizing resource input use efficiency can we hope to increase productivity indefinitely from the finite quantities of natural resources at our disposal while minimizing or eliminating any negative consequences.
However, this can be avoided through precision agriculture, which is dedicated to optimizing resource use by controlling the temporal and geographical variability of soil and ecosystem conditions. Collecting agricultural data in a smart way for farmers has been greatly aided by the development of the Internet of Things and other sensor edge connecting devices in the modern day.
Furthermore, there are many economic difficulties that have been integrated into farming that influence productivity and the absence of farmers in rural and semi-rural areas. Pesticide use, weather, a lack of water, a lack of resources, and poor soil quality are just some of the daily obstacles that farmers must overcome, and the best strategies for doing so must be determined in a strategic manner.
Smart precision agriculture is an innovative approach to farming that uses cutting-edge technology to sustainably enhance crop yields. To improve farming, smart IoT devices are linked together using cutting-edge technology. By deploying smart sensors and adopting a smart approach to farming, farmers can improve agricultural output while spending less time in the field. Smart technologies improve farming by requiring fewer resources (water, power) and allowing for greater efficiency (by constant monitoring of humidity and temperature). Multiple sensors, including ones that measure humidity, temperature, and soil moisture, are used in Internet of Things–based smart farming to keep tabs on the fields.
Smart Sustainable Agriculture (SSA) continues to suffer from a lack of investment in R&D as well as complex barriers brought on by the disjointed nature of agricultural processes such as the management and operation of IoT/AI machines, remote sensing, environmental impact, data sharing and management, interoperability, and the analysis and storage of vast quantities of data.
We therefore, welcome submissions including but not limited to, the below:
• Intelligent tools for crop monitoring and management at individual sites
• Methods for processing data and the issues and solutions surrounding big data
• The role of data-aware networking in data-driven smart agriculture
• The role of big data innovation in ecologically sound farming
• Decision-Making and Support Systems (AI, machine learning)
• Real-time data collection for precision farming
• The expanding use of precision farming techniques
• Precision agriculture: data mining and statistical challenges
• Systems that aid in making agricultural decisions for high precision farming
• Cutting-Edge Technologies in Precision Farming
