Whereas in developed countries where on-farm activities are machine-driven, farmers have acclimatized themselves to using apps for agriculture. Mobile apps for agriculture are a great option as they give farmers an opportunity to work in the field more effectively. Countries with the biggest agricultural sectors in the world, including China, the US, Ukraine, India, and a large number of African countries are adopting mobile technology for use in farming. A mobile application can provide farmers with valuable information that can help them improve their planting, cultivating, and harvesting. This information may include agricultural best practices, weather forecasts, and data on disease epidemics.
Such applications can also train new farmers and allow experienced farmers to apply new methods. Moreover, the agricultural mobile applications have really gained widespread acceptance among modern grower due to their versatile nature. These mobile applications can conduct a lot of tasks in the farm which include creating farm maps, scouting the farm, management of farm data, flying agricultural drones over the field among many other jobs that are required by the farmer. The convenient and handy nature of agricultural mobile applications is what has enabled them to gain popularity among farmers. Smart agricultural technologies have facilitated and helped growers reduce operational costs of their farms significantly while at the same time increase the yield and produce piece of land.
Over the past few years, one of the critical stage such revolution and top smart farming technologies that have greatly boosted the agricultural practices and the way farmers conduct their activities are the agricultural mobile applications. Precision Agriculture/Precision Farming is one of the most famous applications of IoT in Agriculture. It makes the farming practice more precise and controlled by realizing smart farming applications such as livestock monitoring, vehicle tracking, field observation, and inventory monitoring. The goal of precision farming is to analyze the data, generated via sensors, to react accordingly. Precision Farming helps farmers to generate data with the help of sensors and analyze that information to take intelligent and quick decisions.
There are numerous precision farming techniques like irrigation management, livestock management, vehicle tracking and many more which play a vital role in increasing the efficiency and effectiveness. With the help of Precision farming, you can analyze soil conditions and other related parameters to increase the operational efficiency. Not only this you can also detect the real-time working conditions of the connected devices to detect water and nutrient level. And having improper knowledge about climate heavily deteriorates the quantity and quality of the crop production.
In addition, these innovations help farmers reduce costs, increase crop capacity and profits. So, youd better learn what top 10 apps for agriculture can become your best assistant. Beyond any doubt, the developing of the app for farming will be the solution to your business problems. An IoT application in the agricultural context usually means a mobile application that connects to drones and sensors on agricultural machinery.
IoT is a technology that’s key to precision farming, a farming strategy that focuses on observing and measuring specific crops and then responding to this data. A farm planning app uses mobile technologies to make the most out of resources. The app covers the entire business cycle for farmers who grow crops, from preplanning and growing season management to supporting long-term profits. You can plan which row crops will be planted in selected fields, share data with your advisers for expert input, and create work orders that help farmworkers focus on the right tasks. During the growing season, the app helps you do everything from tracking spray records to providing advice on managing costs against projected profits. As in the case of TALEN-mediated knockout in soybean to improve the shelf life and heat stability of soybean oil , CRISPR/Cas9 technology has been used to target FAD2 to improve oleic acid content while decreasing polyunsaturated fatty acids in the emerging oil seed plant Camelina sativa .
Earlier, we mentioned an app to help farmers judge the weather and it’s working mechanism. If not a standalone application, you can still integrate it as a side-feature of a larger app. Although Systems Development Life Cycle you would have to hire an app development agency to accomplish an all-inclusive mobile app with peripheral features that impact farming big time, yet the effort would be worth it.
They collect data from the environment which is used to choose the right crops which can grow and sustain in the particular climatic conditions. The whole agricultural apps IoT ecosystem is made up of sensors that can detect real-time weather conditions like humidity, rainfall, temperature and more very accurately.
Any attempt to transfer the regenerative power, not only of crops but also profits, back into the hands of farmers must begin at the most widely reachable point for all, mobile phones. With the computing power of desktops stuffed into handsets, enterprise agricultural apps businesses can easily launch apps for agriculture that target niche areas. Utilization of mobile apps and automated technologies (smart irrigation systems, sensor networks, GPS trackers etc.) makes the farming process more progressive and efficient.
What gets eliminated is the need of the physical presence during disturbing climatic conditions which eventually increases the productivity and help farmers to reap more agriculture benefits. The applications of IoT in the agriculture industry has helped the farmers to monitor the water tank levels in real-time which makes the irrigation process more efficient. The advancement of IoT technology in agriculture operations has brought the use of sensors in every step of the farming process like how much time and resources a seed takes to become a fully-grown vegetable. To my mind, the best approach to identifying key constraints is to establish a much better dialogue with between bench scientists and those key breeders in the developing world who actually talk to farmers and understand local agriculture. One of the most rewarding experiences I have had in recent years was to organize a workshop that brought together breeders of African crops with some of the key scientists working on genes that control flowering time and plant architecture.
There are numerous no. of sensors available to detect all these parameters and configure accordingly to suit your smart farming requirements. These sensors monitor the condition of the crops and the weather surrounding them.