DIGITAL TOOLS FOR MONITORING AND MANAGEMENT IN AGRICULTURAL PRODUCTION

Аннотация

INTRODUCTION increasing need to optimize agricultural processes, In recent years, the digitalization of agricultural which requires the implementation of innovative production has become increasingly relevant monitoring and management methods. In the face against the backdrop of global changes in the of global climate changes and the depletion of agribusiness sector. Technological advancements natural resources, enhancing agricultural open new opportunities for monitoring and efficiency and minimizing the impact of external managing agricultural processes, ensuring more factors on agricultural processes have become efficient resource use and increased yields. Digital increasingly significant. The adoption of digital tools such as mobile applications, drones, and solutions can not only increase yields but also satellite data enable farmers and agronomists to reduce resource costs, making them a necessary monitor field conditions in real-time, significantly component of sustainable development in the improving decision-making processes. The use of agricultural sector. such technologies has become an important element of competitiveness in agriculture, This work aims to study digital tools for especially in the context of climate change and the monitoring and management in agricultural growing demand for food security. production and their impact on enhancing the efficiency and sustainability of agricultural The relevance of this research is driven by the processes. https://www.theamericanjournals.com/index.php/tajet 119 THE USA JOURNALS THE AMERICAN JOURNAL OF ENGINEERING AND TECHNOLOGY (ISSN – 2689-0984) VOLUME 06 ISSUE10 1. Mobile Applications for Field Monitoring to determine optimal cultivation methods. At the seedling stage, the density and uniformity of crops In the agricultural sector, there is currently rapid are analyzed, allowing for the identification of development among large enterprises such as areas with losses and the implementation of agribusiness holdings, which manage extensive appropriate measures. areas of agricultural land. Modern technologies, such as satellite monitoring and the use of drones, Subsequently, fertilizer application is monitored, are being actively applied for field diagnostics. and weed control is conducted, as weeds are one of These methods allow for the rapid acquisition of the main causes of yield loss. Drone images not accurate data. Among other tools, leaf diagnostics only assess the concentration of weeds but also and soil analysis are also actively used. identify their types, aiding in the selection of the most suitable herbicides. High-resolution satellite images, which are used for diagnosing crop conditions, provide farmers Leaf diagnostics and soil analysis are important with the ability to analyze field status using tools for assessing crop conditions and spectral cameras. Spectral data enable the determining the necessary measures for calculation of vegetation indices, such as NDVI, fertilization. Leaf diagnostics help evaluate the which is widely used in agriculture. Satellite data chemical composition of plant tissue, while soil not only help assess the current state of crops but analysis identifies the fertility level and also analyze the development dynamics of fields contamination of the plot. over the past years. This allows agronomists to Thus, the use of modern field monitoring adjust crop rotation and identify errors from technologies contributes to the effectiveness of previous seasons to develop more effective work agronomic practices, improving yields and plans. optimizing resource use. Digital data allow farmers An undeniable advantage of satellite monitoring is to make more informed decisions. For instance, the capability for retrospective analysis due to creating a unified database for fields that includes image archiving. This aids in analyzing the history information on previous yields and agrochemical of yield changes and other field indicators over characteristics helps improve planning and reduce extended periods. However, it is important to losses. Additionally, using yield maps allows for consider the dependence of data accuracy on the optimization of fertilizer use, which is weather conditions, such as cloud cover, and particularly relevant given the rising costs. limitations on the frequency of imaging, which is Digital technologies also provide farmers with the typically conducted weekly. ability to quickly assess crop conditions. For The practical application of data obtained through example, through geospatial analysis, problematic satellites and drones requires knowledge of areas can be identified promptly, allowing for the agronomy and geoengineering. The use of this data adjustment of agronomic practices. Monitoring is effective at all stages of the production cycle, systems, such as the Cropwise platform, provide starting from assessing soil conditions before nearly ready data on plant conditions, enabling planting and ending w