#PrecisionHorticulture #AgriculturalTechnologies #DigitalPhenotyping #CloudComputing #SustainableFarming #PrecisionFarming #AgriculturalInnovation #YandexCloud #DataDrivenAgriculture #FarmOptimization
In a recent international exhibition showcasing advancements in cultivation, storage, and distribution of fruits and berries, researchers from the Cognitive Systems, Brain, and Artificial Intelligence department at Moscow State University (MSU) demonstrated their pioneering work in digital remote plant phenotyping. This technology forms the foundation of Precision Horticulture, an innovative agricultural management system that is set to revolutionize the farming industry.
Precision Horticulture marks a new era in agriculture, incorporating technologies like Global Positioning System (GPS), Geographic Information Systems (GIS), adaptive fertilization, and plant protection methods. These components, along with data-driven decision support systems, create a complex yet efficient infrastructure. To support these advancements, cloud computing technologies, exemplified by “Yandex.Cloud,” play a pivotal role, providing the computational power necessary for processing extensive datasets.
The impact of Precision Horticulture is remarkable. By precisely timing and targeting agricultural interventions, it boosts yields, optimizes machinery usage, and reduces environmental harm by minimizing chemical inputs. These enhancements significantly bolster the economic viability of agribusinesses.
Russian President, emphasizing the importance of indigenous agricultural technologies, underscores their role in ensuring national food security and global competitiveness.
However, challenges persist within the industry. Crop losses reach staggering rates of 40%, lack of comprehensive monitoring, imprecise yield forecasts, logistical issues, and scarcity of seasonal labor and fruit markets. A unified digital platform for horticulture remains absent.
Addressing these challenges demands:
Early yield and harvest time forecasting.
Assessment of fruit maturity and harvest prediction.
Forecasting land use and management of fruit storage facilities.
Leasing of returnable packaging and resource forecasting.
Robotic fruit picking and inventory management.
Automation of subsidy reporting and grants.
Inventory of plantations.
Detection of fruit and plant damages.
While existing solutions and traditional enterprise planning systems fall short, prototypes of key components for a unified IT platform in Precision Horticulture exist. These technologies, when refined and integrated, promise an efficient and sustainable agricultural future. According to Professor Alexey Solovchenko from MSU’s Department of Bioengineering, “These technologies must be further developed, integrated, and advanced in agriculture to effectively implement Precision Horticulture using cloud computing resources like Yandex.Cloud.”
Precision Horticulture represents a paradigm shift in agriculture, promising unparalleled efficiency and sustainability. As these technologies mature, they are becoming more accessible and effective for all participants in the agricultural sector. Embracing this revolution is not just a choice but a necessity for a resilient and prosperous agricultural future.
