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市場調查報告書
商品編碼
1302915
產量監控軟件市場 - 2023 年至 2028 年預測YIELD monitoring software market - Forecasts from 2023 to 2028 |
產量監測軟件是一款專業工具,旨在幫助農民和耕種者提高作物產量並減少農業浪費。 收集農業運營各個方面的數據,例如土壤質量、天氣模式和作物表現,為優化農業運營(例如種植策略、肥料使用、灌溉技術等)提供有價值的見解和建議。 產量軟件市場的主要應用包括品種跟蹤、水分跟蹤、負載跟蹤等。 此外,農業產量監測軟件的功能因具體軟件包而異。 儘管如此,作物繪圖、天氣監測、土壤分析、產量分析和數據可視化等功能在大多數軟件平台中都很常見。 產量分析功能提供有關農作物產量的詳細信息,包括歷史數據和未來產量預測。 由於一些國家的人口增長、某些政府的有利舉措、農業技術的進步以及對農業經營對環境影響的日益擔憂,對糧食的需求不斷增加,預計將推動產量監測軟件在預測期內的增長。
人工智能、機器學習和其他技術發展(例如視覺分析工具和傳感器實時數據)的採用,有助於提高產量監測軟件解決方案以及農業產量監測和繪圖軟件的效率和準確性,從而提高產量消耗。 例如,2022 年8 月,瑞士農業發展公司OneSoil 與創新型位置跟蹤公司Mapbox Company 合作,將專有的人工智能和衛星視覺輸入集成到OneSoil Map 中,這是一種新的產量監測和數據可視化工具,可提供有關田間作物健康和產量的實時數據和深入信息。 此外,Space AG、Motorleaf、Hectre、Sencrop等多家初創公司推出的現有良率監控軟件正在刺激良率監控軟件市場的發展。 例如,加拿大農業技術初創公司 Motorleaf 提供 Carbonbook,這是一款人工智能驅動的軟件,可監測害蟲和天氣。 此外,Space AG還提供基於計算機視覺和機器學習自動化技術的產量繪圖技術衍生的精準農業解決方案,並提供葉面和地圖數據分析以優化決策過程。
由於害蟲侵擾、不可預測的天氣模式以及不受監控的土壤質量和保水特性,主要農業經濟體普遍存在產量損失,因此對有效產量監測軟件的需求正在上升。 例如,根據印度政府農業和農民福利部發布的報告,印度農田因雜草造成的產量損失平均達到37%,有些情況甚至達到90%。 通過使用產量監測軟件,農民可以了解雜草和害蟲的存在,並可以在很大程度上防止此類損失。 此外,美國農業局聯合會估計,由於不可預見的天氣狀況,約價值 214 億美元的產量損失。 因此,鑑於基於衛星輸入和洞察的氣象數據分析的產量監測軟件越來越多地採用天氣監測,並且由於可控因素造成的產量損失比例不斷增加,預計對產量監測軟件的需求將比預測增加時期。
產量監控軟件提供有價值見解的有效性取決於可用數據的質量和數量。 因此,沒有必要的數據收集基礎設施的農場可能無法充分利用該軟件的優勢。 此外,此類軟件提供的分析基於歷史數據,如果出現新型害蟲或其他害蟲,歷史數據可能變得毫無用處。 此外,農民對產量監測軟件的存在、好處和有效使用缺乏認識和培訓,阻礙了其在新興經濟體的增長。 因此,政府和國際組織必須實施培訓和教育計劃,以確保農民擁有充分利用此類軟件的技術知識。
該地區豐富的 IT 基礎設施以及由於產量監控軟件意識不斷增強而導致的農業技術的不斷發展,為北美產量監控軟件市場的增長提供了市場機會。 此外,人工智能和其他先進數據分析工具的日益普及正在推動產量監控應用程序的消耗和有效性,從而確保作物產量的生產力提高。 因此,北美產量監控軟件市場預計在預測期內將大幅擴張。
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.