How the intelligent agriculture cloud helps maximize crop yields

Understanding population growth in relation to food production is critical for sustainable development in the 21st century. The world population is projected to grow from 8 billion in 2022 to 9.7 billion in 2050, and the demand for food is projected to reach 3 billion tons by 2050. Total food production is expected to increase by about 70% between 2007 and 2050.

Decreasing arable land and agricultural labor along with increasing population and demand for food has forced stakeholders in agri-business to consider wise options for improving agricultural productivity. Adopting sustainable agricultural practices is gaining popularity to beat the threat of climate change.

How to increase crop yield with agro-intelligence

One of the oldest industries, agriculture has been shaped by various technological innovations over the years. We are constantly innovating to increase crop yields to meet the demands of a growing population. Quality seeds, irrigation facilities, fertilizers and pesticides have helped farmers increase crop yields.

Today, climate change, increasing population, increasing demand for food, dwindling arable land and freshwater resources, etc. have made it imperative to leverage technology to transform the agri-food system. Modern technology can be used in many aspects of agriculture such as the application of herbicides, insecticides, fertilizers and improved seed production. Thanks to technology, farmers can grow crops in areas previously considered impossible to farm and can make every process more efficient to improve production.

Featured Case Study: Learn how a leading food and beverage manufacturer maximized crop yields with predictive intelligence and remote sensing.

Factors Affecting Crop Yield

Crop yield, which indicates a farmer’s agricultural output over a given period of time, measures the yield harvested per unit of land area. Farmers are always looking for ways to increase crop yield. Many factors, including technology, play an important role in increasing crop yields. Here are five factors affecting crop yields, and how technology is helping achieve it.

seed quality

Good quality certified seeds are essential for maximum yield of the crop. To increase yield, plant breeding companies must select the right hybrid seed, for which historical analysis of various environmental factors, including variable weather and pests and the biggest asset is soil, is required. Using artificial intelligence models, farmers are assisted in choosing the ideal seed variety for their fields. On the other hand, in order to produce excellent quality seeds, seed companies are required to undertake various aspects like grading of seed varieties, ensuring data accuracy before the seed multiplication stage, on-ground fleet management, harvesting at the right time, loss due to spurious hybrid seeds and spurious seeds. Challenges have to be faced. Products, etc. By leveraging the Intelligent Agriculture Cloud, seed companies can reduce time spent on R&D while meeting standards for seed certification, implement traceability systems to eliminate counterfeiting, optimize yield, and more. Connect with farmers for seed and enjoy accurate demand forecasting that ensures timely availability of seeds.

field productivity

Analysis of various factors such as soil fertility enhancement, pest, disease reduction and weather forecasting from sowing to harvesting to improve field productivity, from a variety of data types including location, images/videos, spatiotemporal feed- Data is integrated. , and satellite monitoring of crops. Increase crop yield by sharing knowledge with farmers in the form of seed variety and region specific package of practices (POPs), alerts, details on agro-input availability, timely advisories, remote monitoring of in-field activities, etc. helps. Data gathered from AI/ML models provides actionable intelligence that allows farmers to reduce operational costs. Pest and disease warnings help thwart problems at an early stage and prevent damage.

weather forecast

Along with climate change, erratic weather conditions can ruin crops and affect harvests. Although it is impossible to avoid the impact of severe weather conditions, farmers can manage it by preparing in advance. Crop and environmental monitoring machine learning models use weather and satellite data to reach predictive agro-intelligence. Agricultural technology provides advice on the amounts and timing of applying various agro-input resources depending on the season.

Optimum use of agro-input resources

By protecting crops from pests and diseases or by applying necessary fertilizers and pesticides, agri-input companies play an important role in increasing crop productivity. However, the proper use of chemicals will depend on a proper understanding of which sector will benefit most from which type of input. An intelligent agriculture cloud leverages data collected in a variety of ways and provides data-driven insights to farmers on the extent of agricultural-input resource usage. It is also specific to particular patches within a farm and has the dual benefit of improving yields and optimizing operating costs for farmers.

Seamless communication between stakeholders

Communication among various stakeholders – farmers, seed companies, agri-input companies, food processing companies and others – is critical to maximize the value per acre. Digitization in agriculture provides a platform for seamless communication between various stakeholders and improves the visibility of farmers. Such partnerships help in remote monitoring, sending early warning alerts and advisories for risk mitigation, ensuring availability of agri-input resources and market advisories, enabling farmers with accurate information on farm equipment and new loan schemes, etc. Does

Intelligent Agriculture Cloud Platform connects farmers and businesses

To ensure that the above factors are successfully implemented to increase agricultural productivity, it becomes important to maintain a healthy relationship with farmers and other stakeholders. Sector leaders like Cropin are leveraging Internet of Things (IoT), Artificial Intelligence (AI), Robots, Drones for Remote Sensing, Apps and Devices, Satellite Farming etc. to drive digital transformation of agriculture and connect farmers with various stakeholders Are. uninterruptedly. This enables farmers to be better decision makers and maximize their crop yields.

Cropin Connect is a mobile application on the Cropin Cloud Platform that aids in seamless business-to-farmer connectivity. The app educates farmers with automated advisories via SMS. Cropin Cloud provides access to real-time agriculture data management dashboards and on-demand reports to monitor, measure and take action and detail about crop health and yield estimation. Cropin Cloud also provides information and advisory along with weather based disease forecast/alerts and crop advisories in local language. Apart from helping farmers, the app also helps businesses increase efficiency and profitability through digitizing complex processes and workflows.