Which precision farming tools provide real-time monitoring of crop health and growth?

Transforming Agriculture with Drones: A Path to Innovation and Growth In the ever-evolving landscape of agriculture, embracing new technologies is essential to drive innovation and success. Drones, also known as unmanned aerial vehicles (UAVs), have emerged as a powerful tool that can revolutionize farming practices. By fostering a culture of understanding, collaboration, and empowerment, we can overcome resistance to change and unlock the full potential of drones in shaping the future of agriculture.

Drones have become game-changers in agriculture, providing real-time monitoring of crop health and growth. Equipped with advanced cameras and sensors, these aerial robots capture high-resolution images and collect data on various crop parameters. By analyzing this information, farmers can identify areas of concern, such as nutrient deficiencies, pest infestations, or water stress, in real-time. Drones enable farmers to make timely decisions, optimizing resource allocation and maximizing crop yield. With their ability to cover large areas efficiently, drones offer a cost-effective and convenient solution for precision agriculture. They revolutionize farming practices by providing accurate and up-to-date information.

Os drones vem se destacando na produção animal assim como na agricultura de precisão. Já temos drones capazes de realizar contagem do rebanho, identificar anomalias de temperatura corporal e até injúrias. Existem pesquisas na Austrália com drones terrestres capazes também de conduzir o gado.

As a soilless farmer, the integration of drone technology into my agricultural practices provides significant advantages in monitoring and enhancing the health and growth of crops. In soilless farming, where plants rely on precise nutrient and water delivery, early detection is crucial. Drones help identify these issues before they become severe, allowing for timely intervention. In soilless farming systems, monitoring parameters such as plant color, growth patterns, and leaf condition is essential. Drones can capture this information quickly and accurately, enabling precise monitoring of crop health. With the detailed data collected by drones, soilless farmers can optimize the use of resources such as water and nutrients.

Num cenário digital, a importância dos dados, que já eram cruciais para as toadas de decisão corporativas tem avançado para todos os setores produtivos. No Agro, não seria o uso de IoT, Drones, Sensores, RFID, GPS e outras tecnologias avançadas ajudam no monitoramento e na gestão tanto das ações preventivas a fim de garantir o desenvolvimento das culturas, pois fornecem informações que permitem correções afim de otimizar a eficiência da produção. Esses dados podem ser sobre o crescimento das culturas, níveis de umidade do solo, infestações de pragas e outros fatores críticos que afetam a produtividade agrícola.

This is really a game changer in the agriculture industry they are quick to detect pests and most of all they reduce human labour but also they vulnerable to weather and very high initial cost

very important tools is drone now for precision farming which will helpful to spray and data collections and all drone is more important for mapping of crops and pest diseases also

A drone equipped with cameras capable of scanning at specific spectral wavelengths is quite useful tool particularly in mapping and periodic assessment of crop situations such as stresses, canopy spread, crop stage, maturity, harvest time and so on. This tool is particularly helpful for aerial viewing above canopy and between canopy in relatively small holdings or blocks of big farms. Integrating this map data with background database and further algorithms and data analytics are quite useful in precise assessment and agronomic evaluation of prevailing situation of farm lands and agronomic decision support to farmers.

Drone in Agriculture especially in Africa, a continent that faces numerous challenges in food production due to factors like limited access to farming technologies. However, it's important to also acknowledge that the widespread adoption of drone technology in Africa 🌍 some challenges such as regulatory barriers, limited infrastructure, and security. Addressing these issues will be crucial in realising the full potential of drones to transform the agricultural landscape in Africa and improve food security for millions of people.

The technology for using UAVs in agriculture is essential so that we can carry out monitoring in less time. We can identify pests or diseases in reboleiras, nutritional deficiencies, fruit maturation, identification of areas with erosion, among others. Combined with other technologies, drones become an important tool for us to make assertive and safer decisions.

Yes, satellite imagery is another potentially useful tool for situation assessment of relatively large farms or regions. These imageries could be based on specific wavelengths of electromagnetic spectrum which can map spatial and temporal variation of land and crop conditions such as moisture, nutrient stress, extent of pest/disease incidences, crop growth, natural calamities, extent of land degradation and so on. High resolution satellite imagery is increasingly becoming useful tool for small farms. Integration with data analytics will further enhance its value.

Satellite images along with remote sensing and GIS technology are one of the most powerful tool for monitoring crop. Earlier it used to be near-real time but with advancement in revisit time of satellite that is making images available on daily basis and with advancement in image processing and analytics using cloud computing, it is real time monitoring. Advantage of satellite image over other tools is its wide swath (large area coverage) with high spatial & spectral resolution making it good for farm level to administrative level analysis.

This is not about one tool but a combination of technology and tools. Satellite images and sensor data are the inputs that are to be processed with AI and Data analytics models to identify crops and assess the crop conditions. The model required to train with historical and the ground thruth data to validate the model. This need domain knowledge wrt to crop characters and there exhibition in respect to crop health.

Satellite imagery is another valuable tool for monitoring crop health and growth. Satellites capture images of the Earth's surface at various spectral, temporal, radiometric, and spatial resolutions. These images provide valuable information about crop conditions over large areas. By analyzing satellite imagery, farmers can detect patterns and trends, identify areas of concern, and make informed decisions about crop management

Ainda estamos nos primeiros passos quando falamos a imagens de satélite para analisar e dar indicativos de pastagens, diferentemente de outras culturas estabelecidas como soja e milho.

This is actually very accurate in identifying diseases and pests in crop field and very quick to detect but it's is very costly in the rural areas mostly or small fields owned by small scale farmers,

Perhaps more useful than precision farming, satellite imagery can provide a bird's-eye view of large-scale crops and a variety of data sets related to soil moisture and crop development. It can also simulate the provision of risk advisories regarding pest and water buildup in larger landscapes, further equipping farmers to manage risk in addition to precision.

GrassCo has developed a business relationship with cropx and installed a sensor on a sheep farm in West Otago New Zealand. As we enter winter this sensor is providing valuable information on soil temperature and soil moisture. We are focused a on grass production. The sensor has other features that we don’t use yet. The plane is to track the two drivers of grass growth ( there are serval others ) going into a potential drought. In this part of the world moisture saturation can be as significant as drought. The cropx staff are friendly and accommodating which makes the association very strong and beneficial.

Soil sensors are closely associated with ground truth and are robust precision farm tools. Can be readily used in measurement of various soil parameters viz., moisture, temperature, nutrient status of certain elements, salinity and alkalinity conditions of farm lands. Some equipment can be fixed at specific locations and others are handheld and used locally to measure soil conditions. Many of these equipment are also connected through mobile apps or other devises to capture and interpret real time data remotely and aid in agronomic decision support. Data of crop-specific and site-specific field studies is backbone to practical agronomic advisory.

Can you please suggest any service provider in India for such sensor based advisories. Such services would be useful to people who like to monitor and manage their farms remotely. Thanks and regards

Real-time substrate monitoring is key for precision irrigation and fertigation. Beyond water and nutrient conservation it allows you to drive vegetative or generative growth cues. Measure true soil moisture with a tensiometer (e.g., Irrometer), as it accounts for the difficulty roots face in pulling water from soil. Water availability differs significantly between heavy clay and porous sandy soils, even at the same volumetric water content. For top-quality EC/VWC/Temp measurement in the root zone, consider the Delta-T Wet-150. Tie it all together with Grownetics' open crop analytics and farm management platform.

These instruments measure various soil parameters, allowing farmers to make informed decisions about irrigation, nutrient management, and overall crop health.key points about soil sensors: Soil Temperature Sensors Soil Moisture Sensors Soil Salinity Sensors Soil Conductivity Sensors Soil Nutrient Sensors

When used properly, soil sensors may generate valuable data that helps farmers make informed decisions. They are essential for monitoring changes in moisture and nutrient levels. To improve the data's apparent lack of application from soil sensors, a decision matrix must be created.

Contar con una estación meteorológica en el sitio del proyecto (como en los invernaderos) permite obtener información en tiempo real sobre el clima del sitio donde está ubicado con presición. Esta información, procesada automáticamente por el software de gestión (con parámetros previamente establecidos), permite un control óptimo en el manejo del proyecto (como el clima y la humedad por mencionar algunos). Además, ayuda a proteger contra inclemencias como lluvia o vientos que puedan poner en riesgo la operatividad del mismo. Por ello, la estación meteorológica es una herramienta vital para los proyectos de horticultura protegida, asegurando un entorno controlado y eficiente que maximiza la productividad y minimiza los riesgos.

When it comes to risk management and making farming-related decisions, including allocating manpower for agricultural operations or any other farm activity, weather-related data is essential. Farmers may make better decisions about their operations and even avoid some ones, like spraying pesticides when the wind speed is high, provided they have access to weather data. Even so, the data must be integerated with operations in a systematic way that can be improved to increase the data's usefulness.

Real time weather data is the key to success of precision farming. Hense a well equipped weather station within the reach of a farm is important for crop planning

Meteorological stations are equipped with equipment that measures temperature (thermometer), wind (anemometer), rain (rain gauge), atmospheric pressure (barometer), solar radiation (pyranometer) among other atmospheric variables, and can be automatic or manuals. The automatic stations transmit the collected data directly to the servers responsible for processing this information. In manual meteorological stations, it is necessary for a person to go to the station and read the data recorded on the equipment.

El contar con acceso remoto a los softwares que monitorean y controlan hoy en día los proyectos productivos en la horticultura protegida es extremadamente favorable. Permite una gestión más eficiente y flexible al ser softwares complejos en su operación pero "sencillos" en su manejo, ya que los operarios pueden supervisar y controlar los procesos desde cualquier lugar, optimizando el uso del tiempo. Además, mejora la capacidad de respuesta ante problemas, permite tomar decisiones informadas en tiempo real y facilita la colaboración entre equipos al compartir datos instantáneamente. Esto promueve sostenibilidad y eficiencia, identificando oportunidades para mejorar procesos y optimizar recursos, incluso con recomendaciones mediante la IA.

Because mobile devices are so portable, they can be used to create an inventory of mobile users and then supply data to those who need it. Mobile apps are a terrific way for scientists and farmers to obtain and integrate data connected to farming. Since there is no such system, mobile companies may have a tremendous opportunity to get to know their customers better and offer the app platform they need to gather the data they need to make decisions.

En mi experiencia, formar parte de una empresa líder en Agricultura de Precisión me ha permitido observar tanto a desarrolladores de software como a sus usuarios. Sin duda, la tecnología en la agroindustria es clave para la recolección de datos y la toma de decisiones informadas, incluso de manera autónoma (IA). Permite predicciones que abarcan desde enfermedades hasta las cosechas. El manejo adecuado de estos datos está aumentando la productividad de la horticultura protegida a nivel mundial, facilitando el intercambio de experiencias, como lidiar con nuevas enfermedades y datos climáticos históricos de cada región . Esto se logra sin excluir a los Growers,dotándolos de herramientas integrales para alcanzar sus objetivos óptimamente.

Analyse des données permet de constater l'état d'évolution des cultures et d'avoir une appreciation précise sur les dégâts dans une surface définie.

It’s important to take a ground up approach in your agricultural data collection. What are your goals as a business? How does data apply to your agribusiness? Farmers growing with real time sensor data and precision ag strategies are able to significantly outperform their non data driven competition. Often times this is due to the dramatic difference between having a little data here and there (weather data, satellite imagery, some sensor dats, spot checks) and having comprehensive data coverage of the most critical factors related to yield. At Grownetics we like to think of this in three buckets. Canopy related data, root zone related data and who did what when.