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¼¼°èÀÇ ¼öÀ² ¸ð´ÏÅ͸µ ¼ÒÇÁÆ®¿þ¾î ½ÃÀå ¿¹Ãø(2023-2028³â)YIELD monitoring software market - Forecasts from 2023 to 2028 |
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Yield monitoring software is a specialized tool designed to assist farmers and cultivators in improving their crop yields and lower agricultural waste. It collects data on various aspects of farming operations, such as soil quality, weather patterns, and crop performance, to provide valuable insights and recommendations for optimizing farming practices such as planting strategies, fertilizer usage, and irrigation techniques. The major applications of the yield software market include variety tracking, moisture tracking, and load tracking. In addition, the features of agricultural yield monitoring software vary depending on the specific software package. Still, features such as crop mapping, weather monitoring, soil analysis, yield analysis, and data visualization are commonly found across most software platforms. The yield analysis feature provides detailed information about crop yields, including historical data and predictions for future yields. The increasing demand for food fueled the growth of the population of several countries, favorable initiatives by certain governments, advancements in agriculture technology, and the rising concerns about the environmental impact of farming practices are significant factors expected to propel the growth of the yield monitoring software over the forecast period.
The adoption of AI, ML, and other technological developments, such as visual analytic tools and real-time data from sensors, are contributing to increase efficiency and accuracy of yield monitoring software solutions, resulting in high consumption of agricultural yield monitoring and mapping software. For instance, in August 2022, OneSoil, an agricultural development company in Switzerland, collaborated with Mapbox Company, an innovative location-tracking company, to introduce a new yield monitoring and data visualization tool, OneSoil Map, that integrates exclusive AI with the visual input from satellites to provide real-time data and insightful information about the condition of crops and yield in fields worldwide. In addition, several existing yield monitoring software launched by various start-up companies such as Space AG, Motorleaf, Hectre, and Sencrop are stimulating the development of the yield monitoring software market. For instance, Motorleaf, an agricultural tech start-up company in Canada, provides AI-powered software, Carbonbook, to monitor harmful pests and weather conditions. In addition, Space AG provides precision farming solutions derived from yield mapping technology based on computer vision and ML automation technology that provide foliage and cartographical data analysis for optimization in decision-making processes.
The prevalence of yield loss among major agricultural economies driven by pest infections, unpredictable weather patterns, and unmonitored soil quality and moisture retention properties is generating a high demand for effective yield monitoring software. For instance, a report published by the Ministry of Agriculture & Farmers' Welfare of the Government of India revealed that the amount of yield loss in Indian croplands as a result of weeds amounted to an average of 37% and has also been recorded at 90% in certain circumstances. The consumption of yield monitoring software warns farmers about the presence of weeds and pests, which could help prevent such losses to a large extent. Further, the American Farm Bureau Federation estimated that approximately a yield worth US$21.4 billion was lost due to unforeseen weather conditions. Therefore, the growing adoption of weather monitoring in yield monitoring software based on satellite input and insightful weather data analysis and the increasing rates of yield loss resulting from factors that can be controlled are expected to increase the demand for yield monitoring software over the forecast period.
The effectiveness of yield monitoring software in providing valuable insights depends on the quality and quantity of data available. Therefore, farms that lack the necessary data collection infrastructure may not fully leverage the software's benefits. Further, the analysis provided by such software is based on historical data, which could be futile in the emergence of new types of pests and other harmful organisms. In addition, farmers' lack of awareness and training about the presence, benefits, and effective utilization of yield monitoring software restricts its growth across several developing economies. Hence, government and international organizations must implement training and education programs to ensure that farmers have the technical knowledge to utilize such software to its maximum capacity.
The abundance of IT infrastructure and the constant evolution in agricultural technology driven by the rising awareness of yield monitoring software in the region provides a market opportunity for the growth of North America's yield monitoring software market. In addition, the increasing adoption of AI and other advanced data analysis tools promotes the consumption and effectiveness of yield monitoring applications to ensure enhanced productivity in crop yields. Hence, North America's yield monitoring software market is expected to expand over the forecast period significantly.